The Ultimate Guide to Retail Media Network Advertising

Retail media networks represent a dynamic and rapidly evolving segment of the advertising industry. At their core, these networks are advertising infrastructures that allow brands to place ads on a retailer’s digital properties, such as websites, mobile apps, and other online platforms. This form of advertising leverages the digital footprint and consumer data of retail giants to provide brands with unique opportunities to reach highly targeted audiences.

The concept is straightforward: retailers, recognizing the value of their digital real estate and the extensive data they collect from shoppers, have developed platforms that enable third-party brands to purchase ad space. This turns retail websites and apps into potent advertising channels where brands can display their products to consumers who are already in a shopping mindset. Essentially, retail media networks transform a retailer’s digital presence into a modern-day “digital shelf” where brands can vie for consumer attention much like they do with physical shelf space in brick-and-mortar stores.

The Importance of Retail Media in the Current Advertising Landscape

The rise of retail media networks has been fueled by the exponential growth of online shopping and the increasing importance of data-driven marketing. As consumers continue to shift their purchasing habits online, retailers have adapted by creating sophisticated digital ecosystems that not only serve as shopping platforms but also as valuable advertising channels.

Targeted Advertising: One of the most significant advantages of retail media networks is their ability to provide highly targeted advertising. Retailers collect vast amounts of first-party data from their customers, including shopping behaviors, preferences, and purchase histories. This data allows brands to create precise, targeted ads that are more likely to resonate with consumers. Unlike traditional advertising methods, which can be broad and impersonal, retail media networks enable a level of personalization that significantly enhances the effectiveness of ad campaigns.

Enhanced Customer Experience: For consumers, retail media ads can enhance the shopping experience by making it more relevant and personalized. When a shopper is browsing for a specific product, seeing ads for related products or promotions can be helpful and timely. This relevance can increase the likelihood of a purchase and improve the overall satisfaction of the shopping experience.

First-Party Data Utilization: In the wake of increasing privacy regulations and the decline of third-party cookies, first-party data has become invaluable for marketers. Retail media networks capitalize on this by offering brands access to rich, consent-based data directly from the retailer’s own customer base. This data not only helps in crafting effective ad campaigns but also provides insights into consumer behavior that can inform broader marketing strategies.

Measurable ROI: Retail media networks offer clear and measurable returns on investment (ROI). Brands can track the performance of their ads in real time, seeing how many impressions, clicks, and conversions they generate. This transparency allows for better budget allocation and more strategic decision-making.

Strategic Partnerships: For retailers, offering advertising space to brands creates an additional revenue stream. It also strengthens relationships with key suppliers and partners. By enabling brands to advertise on their platforms, retailers can offer more competitive pricing, better product visibility, and ultimately, a more compelling shopping experience for their customers.

Objectives of this Guide to Retail Media Network Advertising

This guide aims to provide a comprehensive understanding of retail media networks and their role in the modern advertising landscape. Whether you are a marketer looking to explore new advertising avenues, a brand aiming to maximize your digital ad spend, or a retailer considering the development of your own media network, this guide is designed to offer valuable insights and practical advice.

Educational Foundation: The first objective is to lay down a solid educational foundation. Readers will gain a clear understanding of what retail media networks are, how they function, and the key players involved. By demystifying the concept, this guide ensures that even those new to the term can grasp its significance and potential.

Strategic Insights: The guide delves into the strategic benefits of retail media networks, providing detailed analysis on why they have become a critical component of contemporary digital marketing strategies. From leveraging first-party data to enhancing customer experience, readers will learn about the multifaceted advantages that retail media networks offer.

Implementation Guidance: For brands and retailers looking to implement or optimize their use of retail media networks, this guide offers practical advice and step-by-step guidance. Topics such as building the necessary technological infrastructure, creating compelling ad content, and measuring campaign success are covered in detail.

Future Trends and Predictions: Finally, the guide looks ahead to the future of retail media networks. As this sector continues to evolve, it is crucial for marketers and advertisers to stay informed about emerging trends and technologies. This section will explore potential developments and provide predictions on how retail media networks will shape the advertising landscape in the years to come.

By the end of this guide, readers will have a thorough understanding of retail media networks, equipped with the knowledge and tools needed to leverage this powerful advertising channel effectively. Whether you aim to drive brand awareness, boost sales, or gain deeper consumer insights, this ultimate guide will serve as your go-to resource for navigating the exciting world of retail media networks.

Understanding Retail Media Networks

The concept of retail media is not entirely new. It draws parallels with traditional in-store marketing strategies. Its digital transformation, however, began in earnest with the rise of e-commerce and the increasing sophistication of digital marketing technologies. The timeline went roughly as follows:

Early Beginnings: In the early days of online shopping, retailers began to recognize the potential of their websites as more than just transactional platforms. Early forms of retail media included banner ads and sponsored product listings. These provided brands with basic advertising opportunities.

The Rise of E-commerce: As e-commerce grew, so did the potential for digital advertising within retail environments. Retail giants like Amazon, Walmart, and Target started to invest heavily in their digital infrastructures. This led to the creation of sophisticated platforms that could support a wide range of advertising formats. This period saw the integration of more advanced targeting capabilities, leveraging the vast amounts of data collected from online shoppers.

Programmatic Advertising: The advent of programmatic advertising marked a significant evolution in retail media networks. Programmatic technology allows for automated, data-driven ad buying, which enhances targeting precision and efficiency. Retailers began to offer programmatic ad spaces on their digital properties, making it easier for brands to reach their desired audiences with personalized ads.

First-Party Data Utilization: With increasing privacy regulations and the decline of third-party cookies, the value of first-party data—data collected directly from consumers by the retailers—has skyrocketed. Retailers are in a unique position to collect rich, consent-based data from their customers, and they have leveraged this advantage to enhance their media networks. This data-driven approach allows for more accurate targeting and better measurement of ad performance.

Integration with Digital Marketing Ecosystems: Retail media networks have evolved to integrate seamlessly with broader digital marketing strategies. They are now a critical component of omnichannel marketing efforts, where brands aim to create a cohesive and consistent experience for consumers across all touchpoints—online and offline.

Key Players in the Industry

Several key players have emerged as leaders in the retail media network space. Each brings unique capabilities and extensive reach to the market. Understanding these players can provide valuable insights into the dynamics of the industry and the opportunities available for brands.

Amazon Advertising: As the pioneer and leader in the retail media network space, Amazon has set the standard with its vast reach and sophisticated advertising solutions. Amazon Advertising offers a variety of ad formats, including Sponsored Products, Sponsored Brands, and Sponsored Display ads, all powered by Amazon’s extensive first-party data. Their Demand-Side Platform (DSP) also allows for programmatic buying, extending the reach beyond Amazon’s own properties.

Walmart Connect: Walmart has rapidly expanded its retail media network, leveraging its extensive customer base and in-store data. Walmart Connect offers various ad solutions, including search ads, display ads, and in-store digital screens. Their partnership with The Trade Desk enhances their programmatic capabilities, making Walmart a formidable player in the industry.

Target’s Roundel: Target rebranded its media network as Roundel, emphasizing its focus on delivering relevant and personalized advertising experiences. Roundel offers a range of ad formats across Target’s digital properties and partner sites, backed by robust data insights. Target’s emphasis on customer experience and personalization makes Roundel a valuable platform for brands.

Kroger Precision Marketing: Kroger has also made significant strides with its retail media network, known as Kroger Precision Marketing (KPM). KPM leverages Kroger’s extensive loyalty program data to offer highly targeted advertising solutions. Their offerings include on-site and off-site ads, as well as personalized email marketing, all aimed at driving sales and enhancing customer engagement.

Instacart Ads. As a leading online grocery platform, Instacart has developed its own advertising solutions to help brands reach consumers at the point of purchase. Instacart Ads include search and display ads, which can be targeted based on shopping behaviors and preferences. This platform is particularly valuable for CPG brands looking to drive sales in the rapidly growing online grocery segment.

Alibaba’s Alimama. In the Asian market, Alibaba’s Alimama platform dominates the retail media network space. Alimama integrates with Alibaba’s various e-commerce platforms, offering brands access to a massive consumer base. The platform’s advanced data analytics and targeting capabilities make it a powerful tool for brands looking to penetrate the Asian market.

The Importance of Retail Media Networks

Retail media networks have become a cornerstone of digital marketing strategies for brands aiming to connect with consumers in meaningful and impactful ways. By leve

raging the extensive reach and rich first-party data of major retailers, brands can craft highly targeted and personalized advertising campaigns that resonate with shoppers at critical points in their purchasing journey.

Precision Targeting. One of the most significant roles of retail media in digital marketing is its ability to offer precision targeting. Retailers collect comprehensive data about their customers, including shopping behaviors, purchase histories, and demographic information. This data enables brands to target their ads with remarkable accuracy, ensuring that their messages reach the right audiences at the right time.

Enhanced Consumer Engagement. Retail media networks facilitate deeper consumer engagement by placing ads in contexts where consumers are already in a shopping mindset. For instance, ads displayed on a retailer’s website or app can influence purchase decisions when consumers are actively searching for products or browsing categories. This relevance increases the likelihood of consumer interaction and conversion.

Integrated Omnichannel Marketing. Retail media networks play a crucial role in omnichannel marketing strategies. By integrating online and offline data, brands can create seamless and cohesive marketing campaigns that deliver consistent messaging across all touchpoints. This integration ensures that consumers have a unified brand experience, whether they are shopping online, in-store, or through mobile apps.

Data-Driven Decision Making. Access to first-party data provided by retail media networks allows brands to make informed decisions about their marketing strategies. Brands can analyze detailed insights about consumer behaviors, preferences, and purchase patterns, enabling them to refine their targeting, optimize their ad spend, and measure the effectiveness of their campaigns with greater precision.

Comparing Retail Media Networks with Traditional Advertising Methods

Retail media networks offer several advantages over traditional advertising methods, making them an increasingly popular choice for brands looking to maximize their marketing impact. These benefits include:

Targeting Capabilities. Traditional advertising methods, such as television, radio, and print, often rely on broad audience demographics and lack the granular targeting capabilities of retail media networks. While traditional media can reach a large audience, it may not always reach the most relevant consumers. Retail media networks, on the other hand, utilize detailed first-party data to target specific segments of the population, resulting in more relevant and effective advertising.

Measurability and Accountability. One of the key challenges of traditional advertising is measuring its effectiveness. Metrics such as television ratings or circulation numbers provide limited insights into how ads influence consumer behavior. Retail media networks offer precise measurability, allowing brands to track key performance indicators (KPIs) such as impressions, clicks, conversions, and return on ad spend (ROAS). This transparency enables brands to assess the impact of their campaigns and make data-driven adjustments in real time.

Cost Efficiency. Traditional advertising methods can be costly, with significant investments required for production and media buying. Retail media networks often provide more cost-effective options, particularly for smaller brands or those with limited budgets. Programmatic buying and auction-based pricing models allow brands to control their ad spend more efficiently and achieve better ROI.

Personalization. Traditional advertising typically offers limited opportunities for personalization. In contrast, retail media networks enable brands to deliver highly personalized ad experiences based on individual consumer data. Personalized ads are more likely to capture consumer attention and drive engagement, leading to higher conversion rates.

Real-Time Optimization. Retail media networks allow for real-time optimization of ad campaigns. Brands can adjust their strategies based on real-time performance data, ensuring that their ads are always performing at their best. This agility is difficult to achieve with traditional advertising methods, which often have longer lead times and less flexibility.

The Benefits for Brands, Retailers, and Consumers

The benefits of retail media networks extend beyond brands to include retailers and consumers, creating a win-win-win scenario in the advertising ecosystem.

For Brands:

Increased Visibility. Retail media networks provide brands with access to highly visible ad placements on popular retail websites and apps, increasing their exposure to potential customers.

Enhanced Targeting. Brands can leverage first-party data to target their ads more effectively, reaching the most relevant audiences with personalized messages.

Improved ROI. The precision targeting and real-time optimization capabilities of retail media networks help brands achieve better ROI on their ad spend, driving more sales and conversions.

Actionable Insights. Brands gain access to valuable consumer insights that can inform their overall marketing strategies and product development efforts.

For Retailers:

Additional Revenue Stream. Retail media networks create a new revenue stream for retailers by allowing them to monetize their digital properties through ad sales.

Strengthened Brand Relationships. By offering advertising opportunities to brands, retailers can strengthen their relationships with key suppliers and partners.

Enhanced Customer Experience. Relevant and personalized ads can enhance the shopping experience for consumers, making it easier for them to discover new products and promotions.

For Consumers:

Relevant Advertising. Consumers benefit from seeing ads that are more relevant to their interests and shopping behaviors, making their online shopping experience more enjoyable and efficient.

Personalized Recommendations. Retail media networks enable personalized product recommendations based on individual preferences, helping consumers find products that meet their needs.

Informed Purchase Decisions. Targeted ads can provide consumers with valuable information about products and promotions, helping them make more informed purchase decisions.

How Retail Media Networks Work

Retail media networks operate on a framework that leverages a retailer’s digital ecosystem to provide advertising opportunities for brands. This framework consists of several key components:

Retailer’s Digital Ecosystem. At the heart of a retail media network is the retailer’s digital ecosystem, which includes their e-commerce website, mobile apps, email newsletters, and other online platforms. These channels serve as the primary venues for ad placements.

First-Party Data Collection. Retailers collect vast amounts of first-party data from their customers. This data includes browsing behaviors, purchase histories, demographic information, and preferences. This data is invaluable for creating targeted and personalized ad campaigns.

Ad Inventory. Retailers create and manage ad inventory within their digital channels. This inventory can include display ads, sponsored product listings, video ads, and more. Retailers determine where and how ads will be displayed, ensuring that they blend seamlessly with the shopping experience.

Ad Buying and Placement. Brands can purchase ad space through various methods, including direct buys, programmatic advertising, and auction-based models. Programmatic advertising, in particular, uses automated technology to buy and place ads in real time, ensuring that ads are shown to the most relevant audiences based on the data collected.

Targeting and Personalization. Utilizing the collected first-party data, retailers and brands can create highly targeted and personalized ad campaigns. Ads can be tailored to specific customer segments based on their past behaviors, interests, and demographics, increasing the likelihood of engagement and conversion.

Performance Tracking and Optimization. Retail media networks provide detailed analytics and reporting tools that allow brands to track the performance of their ad campaigns in real time. Metrics such as impressions, clicks, conversions, and return on ad spend (ROAS) can be monitored and analyzed. Brands can use this data to optimize their campaigns, adjusting their strategies to maximize effectiveness and ROI.

Retail media networks utilize a variety of digital channels to deliver ads to consumers. Each channel offers unique advantages and opportunities for brands to engage with their target audiences.

E-commerce Websites. Retailers’ websites are the most common and essential channels for retail media networks. Ads can be placed in various sections of the website, including homepage banners, product listing pages, and checkout pages. Sponsored product listings and display ads are particularly effective on e-commerce sites, as they reach consumers who are actively shopping and ready to make a purchase.

Mobile Apps. With the increasing use of mobile devices for shopping, retailer mobile apps have become crucial channels for retail media networks. In-app ads can include display ads, video ads, and push notifications. Mobile apps offer the advantage of real-time engagement and location-based targeting, providing brands with opportunities to reach consumers on the go.

Email Newsletters. Retailers often send regular email newsletters to their customers, featuring promotions, product recommendations, and updates. These newsletters provide valuable ad space for brands, allowing them to reach a highly engaged audience. Personalized email ads based on customer preferences and past purchases can drive significant engagement and conversions.

Social Media Platforms. Many retailers integrate their retail media networks with their social media profiles, extending their reach to platforms like Facebook, Instagram, and Pinterest. Social media ads can be highly targeted based on user data and interests, making them an effective way to engage with potential customers.

Search Ads. Some retail media networks include search ads, which appear when consumers search for specific products on the retailer’s website. These ads can drive high-intent traffic to a brand’s product pages, increasing the chances of conversion.

Video and Streaming Ads. Video content is increasingly popular, and many retailers now offer video ad placements on their websites and apps. Additionally, some retail media networks extend to streaming services, allowing brands to reach consumers with video ads on platforms like Amazon Prime Video and Walmart’s Vudu.

Implementing Retail Media in Your Strategy

Integrating retail media into your marketing strategy requires a well-structured approach to ensure it complements your overall marketing efforts and maximizes the return on investment (ROI). Here are the key steps to effectively incorporate retail media into your marketing plan:

Define Your Objectives. Start by clearly defining what you aim to achieve with retail media. Objectives could range from increasing brand awareness, driving online or in-store sales, improving customer engagement, or gaining valuable consumer insights. Having well-defined goals will guide your strategy and help measure success.

Identify Target Audiences. Leverage the retailer’s first-party data to identify and segment your target audiences. Understand their shopping behaviors, preferences, and demographics. This information will help you tailor your ad campaigns to resonate with the right consumers.

Develop Creative Assets. Create compelling ad creatives that align with your brand messaging and appeal to your target audience. This includes display ads, sponsored product listings, video ads, and more. Ensure your creatives are optimized for each selected channel to enhance engagement and conversion rates.

Leverage Programmatic Advertising. Utilize programmatic advertising to automate the buying and placement of ads. Programmatic technology allows for real-time bidding and targeting, ensuring your ads reach the most relevant audiences at the right time. Integrate with demand-side platforms (DSPs) and ad exchanges to streamline this process.

Align with Retailer’s Calendar. Collaborate with the retailer to align your campaigns with their promotional calendar. Take advantage of key shopping events, seasonal promotions, and exclusive deals offered by the retailer. This alignment can boost the visibility and effectiveness of your campaigns.

Set Up Tracking and Analytics. Implement robust tracking and analytics tools to monitor the performance of your retail media campaigns. Use pixel tracking, conversion tracking, and analytics platforms to collect data on impressions, clicks, conversions, and other key performance indicators (KPIs).

Launch and Monitor Campaigns. Launch your retail media campaigns across the selected channels. Continuously monitor their performance using the established tracking and analytics tools. Be prepared to make real-time adjustments to optimize your campaigns based on the data collected.

Optimize and Iterate. Analyze the performance data to identify what’s working and what’s not. Optimize your campaigns by tweaking ad creatives, targeting parameters, and budget allocations. Use A/B testing to experiment with different strategies and improve overall campaign effectiveness.

The future of retail media networks is bright, with emerging technologies, increasing adoption, and evolving consumer behaviors shaping the landscape. By staying informed and agile, you can capitalize on these trends and position your brand for success in the competitive digital marketplace. Whether your goal is to drive immediate sales or build long-term customer relationships, retail media networks provide a powerful tool to help you achieve your marketing objectives.

The post The Ultimate Guide to Retail Media Network Advertising first appeared on PPC Hero.

Leveraging Customer Match for Enhanced Paid Search Campaigns: A Guide for Experienced Advertisers

As the digital advertising landscape shifts towards a cookieless future, harnessing the power of first-party data becomes increasingly crucial. Google’s Customer Match provides a robust solution for paid search advertisers to scale reach and engagement with both new and existing customers.

Here’s how you can optimize your campaigns using Customer Match to stay ahead in this evolving ecosystem.

The internet has evolved significantly since the inception of cookies in the early 90s. Initially designed to store user information, cookies are now central to advanced ad tracking and targeting. However, growing privacy concerns and regulatory changes (like GDPR and the deprecation of third-party cookies by major browsers) are prompting a shift towards more privacy-conscious solutions. This transition presents an opportunity for innovation in leveraging first-party data.

Why Customer Match?

Customer Match allows advertisers to use consented first-party data to reach and engage existing customers across Google’s platforms, including Search, Shopping, Discovery, Gmail, and YouTube. This capability is vital for personalized marketing, new customer acquisition, and improving the performance of smart bidding campaigns.

Key Benefits of Customer Match

Privacy-Safe Personalization: Uses consented first-party data to create tailored marketing messages.

Enhanced Targeting: Enables targeting across multiple Google platforms, ensuring consistency and reach.

Smart Bidding Integration: Improves the performance of campaigns by providing high-value signals.

Advanced Use Cases: Supports goals like lifetime value segmentation, loyalty, and retention.

Best Practice for Using Customer Match

High-Quality Data: Ensure your data is clean, consented, and regularly updated to maintain accuracy.

Frequent Refreshes: Regularly updating your customer lists can increase traffic and conversions by keeping data current.

Add Match Keys: Including multiple match keys (emails, phone numbers, postal addresses) can significantly boost match rates.

Leverage Automation: Use API integrations or partners like Salesforce and HubSpot to automate data uploads and updates.

Implementing Customer Match in Your Campaigns

Manual Uploads: Suitable for smaller datasets. Ensure your CSV files meet Google’s formatting requirements.

Automated Integrations: Utilize partners or middleware services like Zapier for seamless, real-time data updates.

API Uploads: Best for large datasets, allowing for bulk uploads and integration with existing workflows.

Enhancing Campaigns with Customer Match

Smart Bidding: Automatically integrates Customer Match data to optimize bids, particularly useful for high-conversion likelihood segments.

Performance Max Campaigns: Provides comprehensive reach across Google’s platforms, benefiting from Customer Match data to enhance targeting and performance.

New Customer Acquisition Goals: Use the New Customer Acquisition (NCA) goal to prioritize or exclusively target new customers, driving growth and optimizing spend.

Privacy and Compliance

Customer Match is fully compliant with data protection regulations like GDPR. Google acts as a data processor, ensuring that all uploaded data is securely hashed and deleted after the matching process. It’s crucial that advertisers also collect and manage data in compliance with local regulations, emphasizing the importance of user consent.

Future Developments

Google is continually enhancing Customer Match features and making them more accessible. Upcoming improvements focus on simplifying data ingestion and expanding the capabilities of Customer Match across various Google ad products. So expect more changes around this functionality in the future!

The post Leveraging Customer Match for Enhanced Paid Search Campaigns: A Guide for Experienced Advertisers first appeared on PPC Hero.

An Essential How to Guide to Writing Impactful PPC Headlines

PPC headlines have a huge influence on the results of your performance campaign. However, users spend less than 0.7 seconds focused on each online ad, so you need to craft engaging websites that catch their attention in a minuscule amount of time. 

Every online user is constantly bombarded with stimuli when surfing the web. Catching someone’s attention with plain text is a massive challenge. 

Below, we’ve put together a few tips to help you write engaging PPC headlines for your next campaign.

Writing a PPC Headline That Converts

Writing a PPC headline has a technical as well as a creative side. 

The technical aspects of a pay-per-click ad headline are relatively easy to understand. This varies by platform, but in most cases, headlines have the following:

Character limit: Most PPC platforms limit the number of characters in the title. Some even truncate the headline before this limit is reached. 

Variations: Google Ads and similar platforms allow you to have up to 3 headline variables that can be displayed for your advertisements.  

Limitations: All platforms have limitations to avoid unethical methods, so you need to ensure your ads adhere to these standards before going live. 

In addition to the technical elements in the headline, you can boost the performance of your ad title if you:

1. Use the Keyword at the Start of the Headline

If you’re using a platform like Google Ads, you can select specific keywords to trigger your search engine results page (SERP) ads. In this case, you should also use the keyword as the first term in your headline or as close to the beginning as possible. 

The reason is the user typed in this word to run a search. Chances are that they will be looking for a result that has the same verbiage. If you’re creating a PPC headline, it’s best to try to find keywords exactly as they are, even if it sounds a little bit out of place. 

2. Match Your Header with the User Intent

You should also ensure that your header matches the intent of the user. 

The intent refers to the goal that the user wants to achieve through the search. This is important because the same words can mean different things, so understanding the intent will help you determine if a search term is actually relevant to your business. 

Let’s say you’re promoting security software for mobile devices. In this case, your ad headline can read something like “Can You Tell If Your Phone Is Hacked?” and follow up with a conversion-centric description. 

For your company website, it’s common to run ads for keywords that have terms like “buy” or “service” because they indicate users are looking to make a purchase. 

3. Leverage Emotion and Use It to Your Advantage

Most customers don’t even think about purchases as products and services. They see them as problem-solvers. Effective PPC headlines encapsulate and make the most of this. 

You need to make the most out of the limited space you have available and keep the audience’s emotions in mind while you craft the headline copy. 

For example, if your product is bottled water, create ads for thirsty customers who may be looking for a refreshing drink during a hot day. 

4. Keep Your Headline Simple and Easy to Read

Even if your ad copy is successful and ends up attracting the attention of your target audience, there’s a chance the message won’t come across. The average adult has an attention span barely above 8 seconds, so your message has to be clear and easy to understand. 

Besides the keyword, your choice of words should be simple and easy to understand. Even the use of an extra word can cause friction, so make sure that your message is obvious.

5. Run Tests Before Scaling Your Campaign

It doesn’t matter how well-thought-out your headlines are, you should always test them with small-scale ads before launching a full campaign. Google and other platforms include A/B testing features, so you can run all your tests on the same platform. 

This process can help you identify which headline variables perform best, so your ads will likely produce better results than if you start.

Questions to Ask Yourself Before Launching Your PPC Campaign

The steps above can help you create engaging PPC headers that generate great results. However, it’s essential to set yourself up for success and make sure you have everything you need to ensure campaign success beyond the headers of your ads. 

Ask yourself the following questions before you launch your campaign:

Have I Researched My Audience Thoroughly?

It’s one thing to know and understand the product you’re promoting. You should also take the time to study your audience’s needs and what situations your customers find themselves in when choosing your product. 

Conduct in-depth research to understand the intent behind the keywords being searched, and what type of language you should in headlines to attract attention. 

Is My Ad Content Commercial?

There are many types of marketing content on the internet. Organic content can either be informative, which means it’s designed to share information, or commercial, which means it’s designed to help transform readers into paying customers. 

As a rule of thumb, all ads should be for commercial purposes. This is because each ad click represents an investment, so you need to monetize these users instead of simply informing them. 

Is My Landing Page a Good Fit for My Campaign?

One of the most common issues found in PPC campaigns is the use of existing pages as an ad landing page. The best practice is for your ad to have its own landing page because it makes for easier performance tracking. 

Not only that, but having a specific ad landing page allows you to optimize its design for conversions. Even small changes like adding a CTA button can increase conversions by more than 370%, so optimizing your landing page for conversions can skyrocket the number of conversions generated. 

Write Impactful Headlines to Boost Your Conversions

Users only dedicate a fraction of a second to each search result, so it’s essential to create engaging headlines that draw their eyes. 

As long as you use the keyword in the headline, adjust the content for intent, and follow the other steps listed above, you’ll be able to hone your headers and get closer to your PPC goals. 

At the same time, remember to research your audience thoroughly and make sure that all of your ad-related content is optimized for conversions.

 

The post An Essential How to Guide to Writing Impactful PPC Headlines first appeared on PPC Hero.

How to enhance your paid search with audience targeting

To most marketers, paid search is all about capturing interest at the bottom of the marketing funnel.

Given most verticals have several to hundreds of valuable keywords that convert at a profitable rate, this is a fair assessment.

Many marketers don’t consider that they can use paid search a bit further up in the funnel by going after broader keywords with lower intent. For those who do, a common challenge is those people are not yet ready to convert.

One way to improve that balance is audience targeting – layering audiences on top of these broad-intent keywords. This will get in front of people whose demographic qualifiers indicate they might want what you’re selling.

Let’s look at why audience targeting is a tactic that deserves your attention. You’ll also learn how to implement it for search (and special considerations for shopping), and the limitations of which you should be aware.

The future of search and keywords: Why audience targeting is growing more relevant to PPC

Many marketers are not too excited about the eventuality of keywords going away. At this point, it really is a question of “when” not “if.”

Google continues to move away from keyword intent as it used to exist. They’re trying to predict or even pre-empt intent through audience signals which, while useful, are suggestions to help kick-start the system rather than specific targeting lists.

I don’t know that search intent can or will ever be removed, but keyword match types almost certainly will. Intent will diminish to the point where entire campaigns will eventually target search themes. We’re already seeing this in Performance Max.

You can already see the pieces moving with recent announcements of broad match campaigns with brand exclusions and inclusions. This is Google previewing where targeting is going to be in around five years (maybe less).

Audience targeting is a way to cope with that change. It allows advertisers to take advantage of the technologies Google has and is building for audiences: who the person is, what their history involves, how they behave on search, what kind of things they like and avoid.

Even if their query is not super close to what you’re selling, Google’s consumer data indicates that this is someone who is likely to buy from you. The “immediately relevant” nature of search is bartered away in exchange for the chance to put your message in front of them.

In other words, search is becoming more and more like social media.

The introduction of AI overviews and rich search results tells us that Google’s priority is no longer creating a directory of 10 blue links with ads above them. Instead it is to understand how people seek and consume information.

Whether this is the right move is irrelevant – it is happening. Paid search marketers will need to improve how we work with first-party data and creative assets to get attention based on people’s potential needs.

The opportunities available are too great to only show up only when people search specifically for what we’re advertising.

4 ways to use audience targeting for your search campaigns

Here are four examples to help you understand how to use audience targeting based on audience behavior and background, rather than the query they enter. All of these scenarios require that your targeting choices be backed by research and deep understanding of your consumer.

1. Targeting based on brand intent

One way an advertiser can employ audience targeting is based on remarketing parameters.

This is known in Google’s platform as Remarketing Lists for Search Ads (RLSA) and can be used in two modes:

Observation mode, which still targets anyone who searches

Targeting mode, which restricts it to people from your audiences

For this example, we’ll use the keyword “landscaping services” and assume it is:

Getting several million hits per month

Is not directly related to a brand’s primary offer

Still has some business, demographic, or interest-based overlap

Instead of showing your ads every time someone searches for “landscaping services” or some variant thereof, you tell Google to only show for the searches made by people who fit a given set of criteria.

So you layer on your own customer list and only target people who have:

Visited your website

Signed up for your email list

Watched your YouTube videos

Are otherwise familiar with your brand

2. Targeting based on consumer background

Consider the keyword “sparkling water.” This is a simple product with different intent depending on whether B2B or B2C audiences are searching for it.

If you only want your ads to target B2B audiences buying large quantities of sparkling water for office consumption, you can layer in even more targeted keywords and demographics:

Also search for “bulk” or “wholesale” searches

Searched for an unrelated keyword that indicates that they are your target customer (e.g. “office snack suppliers”)

Work in companies with a minimum headcount

Work in specific industries

Are in-market for a purchase

So now you should theoretically get more queries from B2B customers than B2C.

If you wanted to flip that around and only show up for the consumer segment, you would instead layer in audiences based on interests. This could be something as simple as people who’ve shown an interest in household appliances or interior decorating.

3. Targeting based on order value

A small office typically buys a less expensive copy machine. That’s all they need. Meanwhile, large enterprises often buy or lease premium copy machines with additional features, toner subscriptions, and monthly service plans.

These two intents can overlap for the same searches. However you only want to advertise your full-service bundle to the largest of the larger companies.

In this situation, layer on what Google knows about the detailed demographics around company size (e.g. 10,000+ employees) along with industries that you know have significant copier use (e.g. law firms, real estate).

Recently painting your living room doesn’t immediately qualify you as being interested in sparkling water, but it is a way of excluding people making searches in a professional capacity.

Tactics like this boil down to how broad you’re willing to go with your audiences.

4. Targeting based on LinkedIn data in Microsoft Ads

When we talk about paid search, Google tends to be the default. For good reason.

That doesn’t mean Bing isn’t worth considering, especially since it means that you’ll have the ability to target people based on the information in their LinkedIn profiles.

Allocating a small portion of your budget to test this could prove worthwhile, especially for B2B brands that want to show search ads to people based on their employers, industries, job titles, or work experience.

Special considerations for eCommerce and Shopping

What we’ve discussed so far has largely been specific to Search campaigns, but paid search remains a lucrative channel for brands selling goods and products. If this is you, here are two areas you should focus on.

1. Audiences

Many advertisers don’t realize that as you bid higher in Shopping campaigns, Google matches your products to a wider variety of broad terms. So if you’re selling a toaster oven and your bids are quite low, you’re probably going to show up for more “exact” queries:

Brand name i.e. “kitchenaid”

Model number i.e. “5KMT2115DER”

Product category i.e. “kitchenaid toaster”

As you increase your bids, you’ll start showing up for keywords such as “kitchen appliances” or simply “toaster”.

The question to ask yourself is: How broad am I willing to go? You have to decide if it’s worth the spend to bid that much and pull in that traffic.

Oftentimes, if you have multiple shopping campaigns you can deprioritise one, but maintain higher bids and layer audiences on top. After you get whatever traffic you get from your other campaigns, that campaign can start going after broader terms from specific audiences.

3. Product feeds

There’s much more nuance behind feeds, but Google primarily looks at two parts in order to decide when and where to show your product ads.

The first is your identifying columns, which your feed needs at least two of in order to show up in as many options as possible:

UPC (universal product code) or GTIN (global trade identification number)

Brand name

MPN (manufacturer part number)

From a keyword perspective, Google considers your title. In particular, they consider the beginning of the title. So make sure that you use the most relevant keywords in the beginning of your title—within reason, without being too spammy.

Know your limitations before you test audience targeting

As with all things related to digital marketing and data, there are limitations to consider.

The nature of search itself is changing. More people report using professional devices to make personal searches and vice-versa, so there is going to be some degree of overlap in your targeting. This is why understanding your buyer has to be the first step, as it supersedes device and audience limitations.

You are somewhat beholden to what Google will let you target, such as demographic markers (e.g. marital status, parental status, education, income) and audience lists (e.g. retargeting people who’ve interacted with your business, excluding existing customers).

Targeting in Google Ads beyond just queries and keywords is still a relatively new concept – even though RLSAs have been around for some time. If you’re starting out, keep these RLSA limitations in mind:

RLSAs have a maximum lifetime of 540 days.

For privacy reasons, a list must have at least 1,000 cookies before it can be used.

Lists that include the Display demographics for age, gender, interests are ineligible.

Lists made in mobile-app views are ineligible.

Going after these “irrelevant on the surface” searches comes at a cost, so you will need a healthy testing budget. Smaller brands—where demand capture is very much still the sole priority—may struggle to make room for this strategy given how important it is for them to see returns on the bulk of their ad spend.

Teams that do better have clients and managers who understand the need for patience and first-party data, and who appreciate that not all tests will pay off.

Once you’ve got a solid grasp of how to use audience targeting and RLSA in paid search, you can build a stronger omnichannel strategy, complementing these marketing efforts with others on email, content, paid social and other channels.

The post How to enhance your paid search with audience targeting first appeared on PPC Hero.

Digital Marketing Attribution Demystified: Can It Be Simple?

Digital marketing attribution models help businesses determine which particular interaction with a customer has led to a desired result. That could be a web page visit, sign-up, purchase, or other. 

Accurate attribution measurement is essential for marketing efficiency and the company’s financial health. Proper lead attribution helps with budgeting and eliminates money leakages. 

As the number of marketing channels grows extensively, however, it becomes more challenging for marketers to attribute customer touchpoints precisely.   

Is attribution that complicated? How can digital marketing attribution be managed easily yet effectively? This article will provide the answers.

A Quick Overview of Digital Marketing Attribution Models

To start with, let’s quickly examine the major digital marketing attribution models, how they work, and their pros and cons.  

First Click Model: A simple approach to attribution in which a conversion is credited to the very first customer-brand interaction. The model is useful for getting a helicopter view on a campaign attribution: TOFU (top of funnel) dynamic, metrics overview, etc. This model isn’t suitable for complex campaign analysis.

Last Click Model: Another simple model that credits the conversion to the last interaction between a customer and a brand. The model is helpful with simple and short sales cycles, but it’s not a solid option for profound marketing campaign attribution.

Linear Attribution Model: This model credits the conversions equally within all the customer touchpoints. It provides a rather balanced view of the customer journey. In contrast, it has no use when you need to accurately estimate each touchpoint’s efficiency.

Time-Decay Attribution Model: This one considers touchpoints closer to the conversion more important than earlier ones. The model imitates real-world behavior and often provides a more insightful view of the customer journey. The basic presumption underlying the model is not always true, however, especially for products or services with a long sales cycle.  

Position-Based Attribution Model: an approach prioritizes the first and the last touchpoints while reattributing the rest of the credit between intermediate interactions. The model gives a balanced view of the customer journey, yet it may not work for nonlinear customer journeys.

While these models are often used solely, you can also combine and tailor them to particular marketing needs. A custom approach that embodies specific elements of different digital marketing attribution models is usually the most accurate.

Challenges Marketers Face with Digital Marketing Attribution

As campaigns become more sophisticated and a vast amount of data is collected, risks emerge for marketers. Here are six challenges you should know about when dealing with attribution.

Data: Quality and Volumes

According to The CMO Survey, more than 75% of organizations from different industries already use marketing technologies, and this number is only going to increase. 

This means a lot of data to organize and use. On the one hand, the more data you have, the more accurate attribution you get in the end. But this statement is if you know how to deal with data silos and are able to maintain proper data quality.

Even if you find the perfect blend of integrated digital marketing, marketing analysis tools, and attribution models, it will only perform well enough when your data is accurate, clean, and streamlined. So, data silos may create a distorted perception of customer behavior, just like the differences in metrics used across various data collection channels.

Another typical challenge that undermines the quality and accuracy of attribution in digital marketing is the lack of a standardized approach to data collection and processing.

Multiple Touchpoints

Properly crediting each touchpoint is essential to understanding every marketing activity’s genuine role and value.      

The era of a straightforward sales cycle is over. Nowadays, users interact with dozens of marketing channels before the conversion happens.

The challenge consists of two parts. First, as a marketer, you should not miss a single touchpoint in your analysis. Secondly, you should assign credit to each touchpoint based on empirical evidence instead of gut feeling.    

Cross-Device Tracking

The lack of data on cross-device user journeys is another typical challenge that misleads marketers. The positive trend is that more marketers treat mobile user experience seriously and use relevant optimization strategies.

The problem is that marketers may analyze a user’s mobile and desktop journeys alone, as if a single lead cannot interact with the brand via both channels.

From this, some touchpoints in attribution tracking end up being disregarded, while the rest are misinterpreted. The important details that may contain user behavior insights remain uncovered.

Digital Marketing Attribution Tools

The market of digital marketing attribution tools grows quickly, and it takes effort to find the right tool. Most popular solutions, like those by HockeyStack, Dreamdata, or Owox BI, are expensive and sophisticated.

This might make it difficult to leverage marketing attribution software. There’s the learning curve for one thing. time. The data collection and transformation setup can also be challenging. Creating custom attribution reports may require using more than one solution. All these and other factors require substantial resources from marketing teams.

Efforts and Benefits

If you’re dealing with marketing budgets in the low to medium thousands of dollars, the marketing team likely won’t get high value from detailed attribution or marketing attribution tools.

Yes, it can save them 10-15% of the budget, bt those savings wouldn’t compensate for the time, money, and efforts spent implementing data management and detailed attribution analysis. That’s how improper budgeting and resource planning can challenge your marketing efficiency.

The Arrival of the Privacy-First Era

The switch-off of third-party cookies will make it even harder for marketers to manage ads’ personalization and retargeting. The removal of cookies from Google Chrome, which is scheduled for 2025, will probably mark the logical culmination of the trend.

Third-party cookie phaseout in Google Chrome. Source: Google 

Many marketers are unprepared for the mass use of first-party cookies. Proficiency in GDPR and similar laws’ requirements is essential but presents a challenge to adapt to the new digital marketing realities.       

3 Ways to Simplify Your Digital Marketing Attribution

Dealing with challenges and choosing the right approach among different attribution models is possible. I’d like to share the three steps of attribution simplification.

Begin with The Simplest Attribution

Comprehending one of the simplest attribution models opens the door to operating with the most suitable model. Consider your search for a perfect blend of different attribution models as an adventure. Begin with a simple model and add complexity step-by-step.

Building a compound attribution measurement model from the start can cost a lot of time and money. In the end, you would likely end up where you started.

According to MMA Global’s research, users of multi-touch attribution models (MTA) are more satisfied with their ability to track their marketing spending effectiveness compared to those using single-touch models. 

However, MMA’s research also reveals another point: almost 30% of MTA users express a negative NPS for their approach. Why are those marketers unsatisfied? Most likely, the sophisticated multi-touch models were adopted from the very start without prior experience of working with simple models.   

Again, begin with the simple option. You can start with the first- or last-click attribution model. Be open to experimenting and crafting the chosen approach. Once you master the simple model and realize its merits and limitations, you can move to the next step.  

Adopt a Hybrid Approach

Each marketing distribution model has advantages and limitations. This is why attribution works best when a few models are combined. Leveraging the strengths of different attribution models is the key to success.

Imagine you offer two different services, with the first having a simpler sales cycle and the second service having a more complex one. In this case, you can use the first click attribution model to analyze the first service’s customer journey, the time-decay model for the second service. 

Finding the correct hybrid model mix is possible through a few actions:

Clearly identify your marketing objectives

Revise your existing approach to attribution in marketing

Analyze and review your customer journey

Testing and experiment with mixed models

You can also gain valuable insights by communicating directly with customers. Do not disregard the CustDev activities and customer services, asking how they heard about the company, at which point the purchasing decision was made, and similar.

This approach might be especially helpful to B2B companies. As I mentioned above, multiple touchpoints are one of the challenges in attribution. It’s particularly relevant in the B2B segment, in which traditional attribution models fail to track conversions properly. This is why you need to engage with your users and reach out to them to better understand your current attribution.

Stay Flexible: Review Your Attribution Model

Once you build a diversified approach to marketing attribution tracking, remember to review and adjust the model regularly. 

You can hardly ever obtain a 100% accurate attribution. You can, however, achieve a close-to-reality market view. There is always room for improvement influenced by product improvements, market dynamics, customer behavior changes, and other factors.

To be flexible you need to deal with the challenges of data quality and volumes, as well as digital marketing attribution tools foremost. At Coupler.io, we process this carefully. We measure PPC campaign performance and gather tons of data from other channels – SEO, CRM, emails, social media, etc. With automation capabilities, we organize and join data in live dashboards. We also identify changes in customer behavior and review our marketing strategy regularly. 

Such approaches can give you a shortcut to growth. You’ll have all the needed data visualized and available in one place. This is how you can make informed marketing decisions. 

Being open to experimentation and new tech is also essential to manage attribution sustainably. Marketing opinion leaders advise industry professionals to finally start believing in AI. AI-driven transformations of conventional attribution models are about to come. Make sure you won’t miss the trend.   

Yes, You Can Simplify Your Attribution Measurement

Tracking attribution in digital marketing can become either a blessing or a curse. But we need to do that accurately. To make it your ally, start using a simple attribution model while testing and adding the elements of other models step-by-step.

Once your hybrid model is in place, ensure that you work with your data properly and review the process regularly. At this point, it is worth building your own approach to attribution reporting and analysis. This will save you time, minimize the risk of mistakes, and help you extract often implicit insights from large volumes of data.     

Borys Vasylchuck is a Product Marketing Manager at Coupler.io.

The post Digital Marketing Attribution Demystified: Can It Be Simple? first appeared on PPC Hero.

Why YouTube Advertising is Essential to Your Marketing Mix

Whether it’s your favorite TV ad from when you were younger or a song that transports you back to something you saw in the ad breaks, there’s no denying the lasting impact that video advertising has had over the last 80 years. But why YouTube advertising?

Is video advertising a must-have for advertisers in 2024? How can we, as PPC heroes, make sure we’re getting it right for our clients? Let’s explore.

How has video advertising evolved?

Video advertising opportunities used to only be available to a handful of large-scale brands via certain studios, production companies, and publishers. Now all brands, and lone creators of all shapes, sizes, and budget can create effective video advertising content from home. All they need is a smartphone and some basic editing software. 

Not only has creating video content become far more accessible but access to publishers has grown substantially too. Today, not only do publishers distribute content for free, but they also financially incentivize the creation of great content. Over the last 20 years, it’s safe to say that the tables have turned on the creator-publisher relationship. The two outcomes of this are the ‘creator boom’ – a whole new economy allowing content creators to earn money from their creations  – and a shift in the content types with which consumers are inclined to engage. Old-school platforms such as Facebook have shifted their algorithms and product offerings to better facilitate video and video distribution. Newer platforms such as TikTok have soared to near-overnight mainstream popularity by focusing on nothing but video content.

The most recent evolution of video advertising has come with the Connected TV trend, stemming from internet-connected TV consumption. The rise in demand for streaming, on-demand content, and YouTube is projected to continue to grow globally, reaching user-base heights of approximately 1.6 billion worldwide by 2027

These trends aren’t expected to slow down anytime soon. The number of U.S. Connected TV users is expected to exceed 62.5 million by 2025, from 57 million in 2020. Broadcast and cable networks are feeling the pinch too, with 90% of networks reporting audience declines over the last five years.

With this in mind, how can advertisers shift their focus toward video content without relying on traditional distribution? I believe the answer is YouTube advertising.

Why YouTube advertising?

YouTube is at the epicenter of both the creator and distribution sides of the video boom. YouTube Connected TV counts for over 50% of ad-supported streaming watch time for adults in the U.S., making it one of the top destinations for advertisers.

User trust is also a strong factor in YouTube’s success. Almost 90% of YouTube users believe YouTube creators give recommendations that they can trust, and 83% of YouTube users state that they feel they get the highest quality information about products from YouTube, too. YouTube is an undeniable contributor to the customer purchase journey, particularly when users are in the research and consideration phases of the funnel. But don’t be misled into thinking YouTube is for ‘awareness only’ – YouTube drives conversions such as lead generation and sales, too. Especially with its Video For Action campaign type. 

Outside of user trust and loyalty metrics, advertising on YouTube has myriad perks and benefits for advertisers, including:

Full-funnel activity with custom goals. Advertisers are able to generate brand awareness as well as drive consideration and conversions via video advertising

The ability to meet users where they are across multiple devices – both on the go and in their homes

A growing number of brand safety measures such as placement and topic exclusions to prevent ads from appearing on unsafe or inappropriate content

Robust goal, key event, and conversion tracking solutions throughout the funnel

The opportunity to expand video advertising efforts to YouTube partners and Google TV placements

Near real-time reporting on not only key metrics such as user engagement, view rates, and video view times but also deeply detailed audience insights, as a result of ownership by Google

Thorough audience targeting options based on demographics, user interests, user behaviors, location, and plenty of other highly-targeted options

A broad range of ad types to support your goals: both on a reservation basis and through traditional CPM (cost per thousand impressions)  or PPC (pay-per-click) routes

Management and reporting via Google Ads.

One of the perks of YouTube advertising is there’s no minimum ad spend – something that may have previously given advertisers pause in investing in video advertising. YouTube is an accessible place to advertise for brands of all shapes, sizes, and (most) industries!

YouTube Advertising best practices 

Once you’ve decided to advertise on YouTube, you’ll want to give it your best shot by following the below ad copy and creative best practices to make your ads as impactful and successful as possible.

YouTube creative best practices

Let’s start with the fun part: creative best practice. YouTube is a very supportive company when it comes to creators and advertiser guidelines. They’ve put together the “ABCDs of effective creative” which are relevant to all advertisers.

Attention: Hook and sustain attention with an immersive story (by jumping into the action)

Branding: Brand early, often, and richly (via colors, audio, and visuals)

Connection: Help people think or feel something (by humanizing the story)

Direction: Ask people to take action (by including clear CTAs).

As well as YouTube’s own creative guidelines, here are some other tips I’ve picked up!

Try to keep your ad length below 45 seconds. Video view rates tend to dip dramatically after this point

If you decide to run skippable ads – generally used when driving brand awareness and consideration – it’s crucial that the first 5 seconds of your video are engaging, lively, and informative.

YouTube’s own guidance also states to “frame tightly and pace quickly” to make your ad as engaging as possible for users, whether they’re on laptops, Connected TV or mobile devices

Create ads with ‘sound on’ in mind, as YouTube users rarely have ‘sound off’

Try to include humans, not just product shots, to humanize your brand’s story.

YouTube ad copy guidelines

When you think about video advertising, you may not think about the accompanying copy. As with Responsive Search Ads, YouTube uses a combination of headlines, descriptions, and CTAs to encourage users to take your desired action. While the creative is absolutely the most important factor to grab attention, copy can ultimately be the difference between driving user action and not.

In order not to treat ad copy as an afterthought, create the below content ahead of time. To supplement each video ad, you’ll need:

Between 1-5 30-character Headlines

Between 1-5 CTAs from a pre-defined list (including ‘Learn more’, ‘Download’, ‘Start now’, ‘Sign up’, and ‘Apply now’)

Up to 5  90-character Long Headlines

Between 1-5 90-character Descriptions.

It’s important to make sure that your long headlines, headlines, and descriptions are unique – as you won’t be able to define when and how they appear. In some cases, headlines and long headlines may appear in the same ad. Similarly, long headlines and descriptions may appear at the same time. Or, only a long headline will appear without additional context. In short, make sure that each of your ad copy assets can stand on its own and with potential counterparts.

YouTube ad dimensions 

This one is easy, right? YouTube = horizontal ads. Not anymore! With the rollout of Shorts and YouTube continuing to test a variety of placement sizes for all user devices, advertisers are encouraged to use three ad dimensions in video advertising to maximize reach.

For YouTube placements, the ideal dimensions are as follows:

For HD (1080p) videos:

1920 x 1080 px (for horizontal placements)

1080 x 1920 px (for vertical and Shorts placements)

1080 x 1080 px (for square placements)

For SD (720p) videos:

A minimum of 1280 x 720 px (for horizontal placements)

A minimum of 480 x 640 px (for vertical placements).

Summary

Video advertising via YouTube should be a fundamental part of your marketing strategy in 2024 and beyond. The ability to meet potential customers where they’re at, the cost-effective reach, and the full-funnel marketing abilities of YouTube make it a must-have element of the media mix for modern advertisers. 

The post Why YouTube Advertising is Essential to Your Marketing Mix first appeared on PPC Hero.

7 Emerging Trends in TikTok Ads

Since its launch in 2020, TikTok has catapulted in popularity, boasting over 1 billion monthly users. (With some estimates at around 1.5 billion in 2024). That inevitably makes TikTok ads an attractive proposition to brands.

As one of the fastest-growing social media platforms, TikTok has revolutionized how brands connect with their audiences. It distinguishes itself from other platforms with universal appeal across generations. Initiaally Gen Z was the target but audiences have expanded to encompass millennials and even boomers.

At the heart of TikTok’s popularity are its customized content feeds, captivating short-form videos, and a canvas for limitless creativity, featuring a diverse range of filters, and engaging challenges. 

TikTok’s blend of entertainment, education, and content discovery has firmly established itself as a premier digital destination. As marketers, how can we use it more effectively?

More importantly, what’s working well for others and how can we use it to better help plan our own campaigns?

Let’s break it down…

1. The rise, fall, and slow return of AI content to TikTok

Almost everything that’s working well right now on TikTok is built around authenticity and trust. That is partly in response to the impact that AI-generated content had last year. 

Humans are social creatures, which is why we trust others for recommendations once we trust them. (It’s why influencer marketing works so well).

However, by around 2023, AI influencers like Milla Sofia became so lifelike that people often couldn’t tell they were AI.

This led to situations where followers interacted with them as if they were real people, creating high engagement and conversions. 

As awareness grew and users discovered they were actually interacting with AI content, many felt deceived. This significantly eroded trust in the platform?.

The phenomenon highlighted potential opportunities as well as challenges for AI in the influencer marketing space.

This was particularly impactful on TikTok, where the content often feels personal and authentic, resembling what someone might share with friends and family?.

To address these trust issues, TikTok became the first platform to require an ‘AI content’ tag for any AI-generated or manipulated videos. The company recognized that audience trust is a core strength of its platform.

Obviously, this has had an impact on the performance of these channels and techniques. Does that mean we should avoid this? Definitely not. We just need to learn how to use it better. 

For advertisers, AI tools are still invaluable for streamlining work and reducing production costs. Early adopters in industries like tech have automated 50-80% of their workload by using AI tools. 

The key is to use these tools smartly and transparently, ensuring that viewers are not misled?. AI content is already beginning to regain traction, particularly with AI ‘influencers’ serving as virtual avatars for informational channels. 

However, genuine human interactions remain crucial for building long-term trust, making traditional influencers highly effective?.

2. Influencer collaborations

Collaborating with influencers and creators remains a significant trend, as influencers bring a pre-existing audience and a trusted voice to a company’s products. When they promote a brand, their followers are more likely to trust and engage with the content, leading to higher conversion rates. 

This approach is often more cost-effective than traditional advertising due to its impact, reach, and ROI, despite larger upfront costs for hiring the influencers??. 

Sidenote: A lot of the techniques on this list work well on their own, or as a combination.

For example a lot of companies are seeing great results combining influencer marketing with hashtag challenge campaigns and other methods on this list. (This is even impacting outside of TikTok, with my local bookstore organizing books in their main display based on #BookTok recommendations, and sticking an ‘As seen on #BookTok’ label on them!)

Additionally, repurposing influencer content in PPC ads can extend the reach and effectiveness of campaigns, combining organic engagement with paid promotion for maximum impact.

3. Make sure to stay true to the platform content

One of the most important ongoing aspects of advertising on TikTok is to create content that aligns with the platform’s usual content. It’s less jarring for the users, while also increasing engagement – usually through UGC campaigns such as trends and hashtag challenges.

For example Gymshark ran a fitness challenge, called the #gymshark66.

The goal was for the public to follow along with the fitness plan for 66 days, and at the end of the challenge, winners were picked to win free clothing.

This hashtag then generated over 45 million views during the challenge!

TL;DR

UGC is a powerful tool for building trust and authenticity on TikTok and still works incredibly well in 2024.

Encouraging users to create content around your brand not only enhances community engagement but also leverages TikTok’s viral nature. Not only that but featuring real customers and their experiences in your ads makes them more relatable and trustworthy. This approach helps build genuine connections with potential customers?.

4. Authenticity, Personal Branding, and Behind-the-Scenes Content

There’s been a large push by both influencers and companies to create and share content that builds authenticity and trust, such as personal content and behind-the-scenes videos. 

(Over 1.3 Billion videos are using these hashtags!)

Authentic content is crucial on TikTok, and so brands that focus on showcasing real people and genuine moments help to build trust and relatability with audiences.

In terms of PPC campaigns, you can leverage and promote popular videos to bring in new viewers and followers, and also nurture and build trust with your current audience.

6. Use educational content

Educational content is also gaining traction on TikTok, and is a great way to turn paid audiences into ‘owned’. 

For example Brands and creators can use short-form videos to share valuable information, tips, and industry insights, establishing themselves as authorities in their fields and attracting a more engaged audience.

This content is incredibly effective for driving traffic to blogs or other more detailed resources?, where those how-to posts can then convert readers into email subscribers for future promotions, offers, and notifications of new TikTok content. This ensures a larger impact on all future content.

Even better still, ads that educate or inform are more likely to capture attention and engage viewers, leading to higher click-through rates and conversions. 

You can also tie this method into the next tip…

7. TikTok as a Search Engine

TikTok has transformed from a simple scrolling platform to one where users actively seek educational and informative content. This shift has seen users preferring TikTok over traditional search engines for discovering new content, including restaurant recommendations, beauty tips, recipes, and news.

This makes it incredibly easy to take the same how-to videos from before, and then target search terms.

This allows ads to appear alongside organic search results for relevant user queries, meaning your already well-converting ads, are put in front of a much warmer audience.

Now it’s time to use these yourself

So there you have it. 7 TikTok ad trends that are doing well (or continue to do well) this year.

How many of these have you tried for your campaigns?

Have you tried combining any of them?

What results did you get?

If you’ve not used them yet, make sure to give it a go and let us know how they work for you!

The post 7 Emerging Trends in TikTok Ads first appeared on PPC Hero.

How to Run Effective Meta Ads for Software as a Service (Saas)

Software as a Service (SaaS) companies know the importance of running ads to get trial signups, demos, and paid subscriptions. Despite this, most of them reserve their ad budgets for LinkedIn and Google. Meta is usually an afterthought when, in fact, it should be one of the primary repositories of budget.

Some top SaaS companies, like Hubspot, Stripe, and Adobe, take Meta ads very seriously. Stripe is currently running 200 ads on its Meta ad account, and Adobe has 450. 

Do you want to run Meta ads for your SaaS and reach your audience on both Facebook and Instagram? Here’s a tried and tested strategy to follow.

Build an audience with TOFU ads for SaaS

Log in to your Facebook or Instagram account and scroll down while paying attention to the ads. 90% of the ads you’ll see will be BOFU (bottom of the funnel.)  

They’re all asking you to buy their stuff. You are competing with all these companies. 

So, how can you outcompete these competitors and get customers to click on your ads and buy your stuff?

It’s by displaying thought authority and building a relationship with them.

Instead of serving BOFU ads like everybody else, serve them TOFU (top of the funnel) ads. These are ads to blog posts or other types of ungated content on your website. 

If your blog posts are filled with helpful content, people will see you as an authority in the field. They will be more likely to purchase later because they have connected with your content. 

If you add the Facebook retargeting pixel to your website, you can then retarget them to a product page where they can sign up for a product that solves the problems you addressed in the blog post. 

They will be more likely to subscribe to your paid plan or sign up for a trial because of the thought authority you displayed with your content. 

You can also optimize your blog posts for conversion with strategically placed lead magnets, ads, and CTAs. Hubspot does this. For inspiration, check out this post on 20X Your Traffic Using Pinterest

You can see that there are many CTAs asking people to sign up for a Pinterest template lead magnet. There’s one at the top like in the above screenshot, but they also mention them several times in the body of the post and at the bottom. 

Hubspot also amplifies this blog post with Facebook ads like this one:

You can also be more direct and provide CTAs on the blog posts that ask people to sign up for your products. 

For an idea, check out this blog post on What is a High Risk Payment Gateway from PaymentCloud. It has CTAs that ask people to sign up to get a quote. 

This way some of the traffic you send will directly convert or will sign up for your email list, so you won’t need to retarget them and will save some of your ad budget. 

Retarget blog visitors to landing pages

As mentioned above, you can retarget blog visitors to your website with BOFU ads and get them to sign up for a trial or make a purchase. 

To get the most out of these ads, make sure you send them to a landing page with one goal instead of sending them to a homepage or a landing page with too many options. 

When you have a dedicated landing page with just one goal, your chances of getting a conversion will be significantly higher. 

A good example is this landing page from Byner. It focuses on getting people to sign up for a demo. 

Bynder uses this Instagram ad to promote the landing page. 

Along with retargeting visitors to your website, you might also want to retarget people on your email list. These include people who signed up for a trial, downloaded a lead magnet, churned out, or signed up for a demo. 

Of course, you will need to serve different offers and ads depending on what they signed up for. The more relevant your offer is to what they signed up for, the higher your conversion rate will be.

Retarget to lead magnets

No matter how great your BOFU and TOFU ads are, most people won’t sign up or buy your product. However, you can get some of the people who don’t convert to sign up for your email list with MOFU (middle of the funnel) ads. 

These are ads that ask people to sign up for a lead magnet, like a white paper, ebook, video course, case study, or email course. 

You can nurture these people with more content via email and then pitch your trial directly via email. Of course, you can also retarget these people via ads so they see you everywhere. 

For an idea, check out this ad for a free guide from Twilio. 

I was on their website recently, but I didn’t purchase anything, so they’re trying to entice me with a guide. 

Optimize ads and landing pages

The first two to three weeks of your Meta ad campaign should be dedicated to testing. You need to spend a minimum of $50 per day on multiple ad creatives to determine what works best for you. 

This will help you gather a lot of data that you can use to improve your ads. Think of it like a science experiment. 

You can then use this data to design better images, write potent copy, and conduct even more tests. You should also conduct these tests on your landing pages and constantly improve the design. 

Of course, you should never stop testing, even when you have an effective ad formula or funnel. Top media buyers constantly test and create new ads and funnels to beat the control. Regularly replacing your ad creative will also help prevent ad fatigue. 

Target cold traffic

As you conduct the above tests, your ads will begin doing well with the warm ads strategy of combining TOFU, MOFU, and BOFU ads. Once you know that this strategy works and is generating a good return on ad spend, you can work on your cold traffic ads. 

The data from the above strategy will help you stay profitable even with cold traffic. The ads probably won’t be as profitable as those targeting warm traffic, but if you are profitable, why not spend it?

Now grow your SaaS with Meta ads

There are a lot of great platforms, such as YouTube, Out Brain, LinkedIn, and Google, to run ads on for your SaaS business. However, Meta should be a top priority, as you can target billions of people on both Facebook and Instagram. It is also much easier to get the creative right on Facebook. 

Once you get this right, you can incorporate other networks into your ad strategy. You will also notice that when you run Facebook ads, more businesses will find you through Google as they will look up your company name. So, make sure you run Google search ads targeting your brand names while simultaneously running Facebook ads. 

The post How to Run Effective Meta Ads for Software as a Service (Saas) first appeared on PPC Hero.

Meta Ads in 2024: The Best Targeting is No Targeting

Many business owners have experienced running Meta ads without any tangible results, despite the platform sometimes suggesting it picked up transactions. Nevertheless, I am here to tell you to trust the algorithm!

With the wrong signals, Meta can waste your hard-earned spend. However, there are plenty of opportunities for clients to get great results by following a simple structure.

Now, more than ever, marketers with budgets large and small are looking at the most effective ways to grow online. Meta could still be that channel for you.

Why scale with Meta ads?

While channels like paid search have higher purchase intent (so you can appear in front of users when they’re directly looking for what you offer), eventually you’ll reach a tipping point whereby further investment into these channels leads to diminishing returns.

This function is known as demand capture. It typically relates to bottom-of-funnel activity around search, shopping and PMAX.

At the other end of the spectrum is demand generation, which has a far wider reach potential. This entails presenting ads to potentially relevant people who aren’t (or weren’t) necessarily in-market until your ad came into play.

Meta ads are a way of introducing new people to your brand. With appealing ads you can grow your reach and expect similar results to paid search, as Meta gathers data on who your customers are and what makes them tick.

Once you have established your performance, your opportunity to scale is vast due to Meta’s machine-learning algorithms,. These can find potential customers based on the data you feed them through the pixel.

When business owners or marketing managers log in to Meta ads/Business Manager, it can be overwhelming. There’s more data than you can shake a stick at. That’s why we’re keeping it simple and diving only into the core elements.

There are four ways in which most advertisers go wrong:

Their audience is too niche

By choosing the wrong campaign objective

By employing Fluffy creative/messaging

They use the home page as a landing page

The targeting part

Targeting used to be the core USP of Meta ads. This was due to how effectively you could segment your desired audience. Audience layering only enhanced this, as it allowed the stacking of different interests to hone in on exactly the type of person you wanted to reach. For example, you would target or test people interested in sports cars + luxury travel who don’t have children to get in front of people with high disposable income for your yacht dealership.

This has changed dramatically over the last two years, especially since the iOS14 update. Today broad (or “Auto”) targeting outperforms highly targeted audiences nearly every time.

Auto targeting works most effectively for e-commerce. We have, however, achieved success with a B2B client offering a service of which people weren’t yet aware. That meant search ads weren’t viable and although we thought Meta would be a step too far, auto targeting immediately outperformed the most relevant interest audience for their offering. Results prompted us to focus on creative landing pages and tracking improvements. This meant more, better-quality data going through a single ad set, which then further enhance Meta’s ability to optimise and find other relevant users.

It’s important to negate remarketing lists from your top-of-funnel activity. That means Facebook or Instagram page engagers, website visitors, newsletter subscribers, and, of course, previous customers. These audiences have their place within your Meta ads portfolio, but you should always separate them and target with different creative.

There are a number of reasons for this: Meta thrives when conditional training is implemented (rewarded for good behaviour or conversions/sales, in this instance). If you don’t negate remarketing lists, Meta will find out that those users convert much more easily than a cold, new user. It’ll will thus keep targeting users who have previously visited your website, artificially inflating your performance metrics. You’ll think you have a scalable strategy because the KPIs are significantly over-performing. This high-flying audience will, however, inevitably run dry when the remarketing list becomes exhausted.

Action:
– Test a broad/“Auto” targeted ad set vs the most relevant targeted audience Meta has for your product. Then push the budget into the higher performing area (which will be auto).

Campaign objectives & KPIs for your Meta Ads

Meta is the best in the business at achieving what you ask it to. It will, however, do precisely what you ask and nothing more. If you run a reach campaign, you’ll receive an abundance of impressions and eyeballs on your ad which is where it stops. It’s rare you get website traffic and borderline non-existent to expect any meaningful action to be taken.

Long gone are the days of a full-funnel campaign with reach or awareness campaigns at the top of the funnel, traffic at mid-funnel & conversions at the bottom of the funnel. Still, you’ll see this in accounts with misinformed clients believing it’s the only way, and that they have to wait months for results.

This isn’t the case. If you’re an e-commerce brand you should only be using conversion-based campaigns, ideally optimised towards purchases. Meta will then get you in front of the users who are most likely to buy after seeing your ad, which puts you in a strong starting position.

Once you’ve got this in place, it’s critical you understand your KPIs. If you don’t know what your target CPA (cost per acquisition) or target ROAS (return on ad spend) is, you’re not alone. You should definitely figure this out before investing too heavily in advertising.

We have an Ads Profitability Calculator that can help you understand where performance is vs where it needs to be.

Once you have your Target CPA/ROAS, you’ll have a goal to aim for. Then you’ll be looking at the other elements, which we’ll help you reach.

Actions:
– Always run conversion campaigns.
– Work out your acceptable ROAS/CPA based on your product margin and other associated costs (delivery, packing, etc.)
– Optimise campaigns/ads with these targets in mind.

Rid yourself of fluffy creative and messaging

Without having to constantly test new audiences, your time can be freed up to focus efforts on the interesting, meaningful tasks around ad creative and messaging.

This is where performance and brand marketers may clash. The fancy polished video is typically outperformed by something much more direct, a bit rough around the edges and not necessarily what you’d see in an organic social profile.

“Sometimes the best copy to sell a horse is ‘Horse for Sale.’”

Jay Abraham

If you sell products, DPAs (Dynamic Product Ads) are likely to be a quick, easy high performer. Meta will get your products in front of relevant users, taking them directly to the product page and making the user journey seamless.

Your ad is a key component of how Meta now targets users, and they have to cater to different personas. It isn’t a case of A/B testing creative and doubling down on a winner.

Variety is the way to scale most effectively, as it allows you to reach a wide range of users, appealing to each of their needs. Some people will respond better to static images which call out the product or service directly, while others will engage and convert better through social proof, in the form of UGC (user generated content).

If you have video assets but you’re not sure where to start with video ads, try the following structure:

1) Strong opening hook to draw in the right audience
2) Trust signals  
3) USPs
4) CTA

Actions:
– Launch a DPA campaign on auto targeting.
– Test a variety of different ad formats, from static to carousels to UGC videos.
– Speak to your customers to better understand their pain points and address those within your creative and messaging.

Your landing pages and the post-click part

The hard work is done. You’ve lured someone away from endless feed scrolling to your website. Now it’s time for the part that’s all too-often overlooked: The landing page.

I tend to treat paid media traffic like a lazy friend. They need the most relevant and important information put in front of them, and pointing them in the right direction.

This is the area we focus most of our time on now, as it’s the difference between a campaign performing profitably or flopping. “You can lead a horse to water, but you can’t make them drink.” This is seen time and time again within paid media and especially with Meta Ads. 

It’s our job to direct clients to make changes to landing pages and provide insights into what the traffic is doing once they’ve arrived on the website. We use Microsoft Clarity for screen recordings and heat maps which provide invaluable insights for optimisations.

The most common objections a user has when they land on your website (excluding technical breakages) are:

Delivery – “When am I going to get it?”

Guarantee & returns – “What if I don’t like it?”

Trust signals – “Is this brand trustworthy/credible?”

Here’s an example of this in action with trust signals, delivery info, product guarantee, and returns all clearly outlined on the product page.

Actions/checklist:
– Ensure The ad & landing page are consistent.
– Mobile load speed must be fast or at least acceptable.
– Make sure the structure is easy to follow.
– Ensure your landing page isn’t too text-heavy.
– Clearly point the customer towards the next step.

Extra tip:

Technical issues are part and parcel of digital marketing, and are always going to pop up. Jumping on them as soon as they come up will put your campaigns and business at less risk of retreating into a learning phase. To keep on top of these, we suggest monitoring your standard rates across product page views, ATC, checkouts initiated and purchases.

Shopify, as it does with most things, makes this very easy with a ready-made report in the analytics section, which looks like this:

There isn’t a magic button or secret hack that will transform your Meta ads performance overnight, but if you nail these four key areas, you’re guaranteed to be ahead of 95% of advertisers.

If you’re still unsure, feel free reach out to mike@profitspring.co.uk, and I’ll be happy to review your account with you and give you a handful of pointers in the right direction.

The post Meta Ads in 2024: The Best Targeting is No Targeting first appeared on PPC Hero.