Share on facebook
Share on twitter
Share on linkedin
Share on email

How Advertisers Should Plan for Activation in a Reduced Cookie World

By now, you’ve likely heard Google Chrome will be removing the ability to use third-party cookies in 2022. Safari and Firefox have already removed the use of third-party cookies through ITP and ETP. In addition, Google has introduced a number of new proposals such as FLoC, Fledge/Turtledove and the Privacy Sandbox. While these proposals are helpful, we want to provide actionable tips to help businesses prepare for the approaching changes. Let’s dive into what organizations can start doing today to ensure they are ready for the future of advertising. 

Back to the Basics – Contextual Advertising 

Contextual advertising has been available as targeting for years. As cookies are reduced, there’s a lot of buzz around how contextual advertising is a quick solution. Luckily for most businesses, they never stopped using contextual targeting; they simply reduced their reliance. It’s time for advertisers to go back and review what contextual advertising might look like for them. 

  • Understand your customers: Use the data you have today to build or refine customer personas. Customer personas should include customers’ interests, age range, hobbies, and more. Many of the details in a customer persona can be used for contextual targeting. For example, if your main customer persona is women between the ages of 25–40 who typically are mothers who enjoy traveling and hiking, you have a starting point for your contextual ad campaigns. 
  • Determine a baseline: Beyond testing new topics, locations, browsers, etc., businesses should run A/B tests to determine a baseline. Contextual targeting is a one-to-many relationship and will require a few iterations to determine what works best for your organization. When running campaigns, make sure a clear objective is defined and work from there to set a baseline. 
  • Define Negative Targeting/Exclude Topics: Often businesses focus on who they want to target and how to reach more potential customers. By doing this, there is a risk in where the ad may appear. Businesses should define negative keywords or topics to exclude. This allows the ad platforms to not show your brand message in those locations. The idea here is to make sure your brand is only shown on relevant topics and on websites you know and trust. 

First-Party Advertising

First-party cookies are not being removed. At the time of publication, businesses can still use first-party data to target users who have opted into advertising. Yes, the reach will be smaller, but it will also be more targeted. 

Now more than ever it’s important for businesses to collect and store their own first-party data. Many companies are working on tests to encourage users to share information such as their email address, phone number, or address. These data points can be mapped to advertising in some ad platforms. 

The key for first-party data collection is to build trust with your website users. Forcing users to log in does not work for every business model so you’ll want to test different options. For retailers, this could be subscribing to a newsletter or registering when checking out. CPG companies might have consumers join a loyalty program or newsletter, whereas news organizations may prefer to implement gated content. No matter what option you choose, be sure to A/B test and make it clear the value the customer gets from providing their information. 

Action-Based Audiences or Traditional Retargeting

Google is currently working on a solution for remarketing to users; however, it will not be identical to what’s available today. In the post-cookie world, retargeting will require businesses to plan ahead. The Turtledove/Fledge proposal will require users to be placed into an interest group at the time the interaction happens. In addition, users can be removed from interest groups when an interaction happens. The biggest change here is that advertisers will not be able to place users in groups based on past on-site actions in a post-cookie world.

In addition to grouping users, it is likely that many elements (like ad campaigns and copy) will need to be pre-planned. For businesses, this means developing a full campaign, creative, and copy before advertising to any users. Once the campaign is configured and shared with the browser, then users can be added or removed from an interest group as they complete interactions on-site. 

Advanced Models – Machine Learning 

Start using machine learning for advertising. Whether you want to determine the likelihood of a user to convert, a user’s lifetime value, or want assistance in clustering users into groups, machine learning can help. Machine learning is perfect for building first-party audiences and assisting with bidding. Segment customers and send additional signals to the advertising platform to indicate whether to bid higher or lower for a specific group of users. Machine learning models will allow businesses to optimize their ad spend to target specific groups of users based on their campaign needs. 

How to Get Started

Now that you know how advertising is evolving, let’s talk actionable next steps: 

1. Audit Your Advertising Stack

Start by reviewing your media tech stack. What platforms are being used and do they rely on third-party cookies? An audit will help you understand how much of your advertising will be impacted and where to prioritize your efforts. 

2. Define or Refine Your Customer Personas

Use the data you have today to get to know your audience. For organizations that already have customer personas, go back and review them. Companies grow and your customer base evolves so it’s important to ensure you are targeting the correct groups. 

3. Test and Determine a Baseline

It’s true that the post-cookie world is still a mystery but that doesn’t mean you cannot test and be prepared. Start testing new contextual targeting, try building machine learning models and see how accurate they are, and try a new bidding type. It’s important to get these initial tests going and start to define a baseline for new campaigns. 

4. Be Open to Change

The internet is going to continue to change and that means your marketing needs to be fluid. Work towards being a company who continually tests and improves versus getting stuck in the now.  

Unsure of Your Next Steps?

Reach out to the InfoTrust team of experts to talk through a plan of action.
Share on facebook
Facebook
Share on twitter
Twitter
Share on linkedin
LinkedIn
Share on email
Email

Other Articles You Will Enjoy

Looker vs Microsoft Power BI: What’s the Difference?

Looker vs Microsoft Power BI: What’s the Difference?

The business intelligence landscape has been known to be a competitive field, especially with its growth in recent years. Deciding on which tool to…

Win the Holiday Season with Data-Driven Decisions

Win the Holiday Season with Data-Driven Decisions

With the holiday season approaching and the increasing shifts in shopping patterns amidst the continued pandemic, what are your teams doing to prepare and…

10 Common Questions from Companies Considering GCP for Marketing

10 Common Questions from Companies Considering GCP for Marketing

For companies that use Google Marketing Platform (GMP), the integrations with Google Cloud Platform (GCP) offer ample opportunities to further refine and optimize their…

Performance Is Not at Odds with Privacy: Lessons I Learned from Sean Downey, Google’s VP of Platforms, at InfoTrust’s Durability Summit

Performance Is Not at Odds with Privacy: Lessons I Learned from Sean Downey, Google’s VP of Platforms, at InfoTrust’s Durability Summit

In June, InfoTrust hosted a Durability Summit, where we discussed what it means to build a sustainable digital analytics marketing practice, considering all the…

Audience Comparison Review: Google Analytics Audiences vs. Adobe

Audience Comparison Review: Google Analytics Audiences vs. Adobe

Having the ability to build out audiences to leverage for your paid marketing efforts is one of the most valuable features of a digital…

What You Need to Know about an Audit & Implementation

What You Need to Know about an Audit & Implementation

If you’re reading this article, you may be about to begin or are currently thinking about conducting an audit and implementation of your website(s),…

Back to the Basics: Google Analytics 4

Back to the Basics: Google Analytics 4

Google Analytics 4, GA4, and Google App + Web: With different terms being thrown around regarding Google Analytics’ latest update, what it can do,…

What is Google Analytics 360 and Who Should Consider Purchasing a License?

What is Google Analytics 360 and Who Should Consider Purchasing a License?

It’s 2021 and when it comes to analytics, as a marketing leader you’ve got expectations. You’re not looking for something casual—you want the real…

How Does Google Data Studio Compare to Looker?

How Does Google Data Studio Compare to Looker?

Google Data Studio is a fairly prevalent tool for organizations using the Google marketing and analytics stack. Not only is Data Studio simple, free…

Talk To Us

Talk To Us

Receive Book Updates

Fill out this form to receive email announcements about Crawl, Walk, Run: Advancing Analytics Maturity with Google Marketing Platform. This includes pre-sale dates, official publishing dates, and more.

Our website uses cookies and may collect user information to provide a good experience. Read our Privacy Policy here.

Leave Us A Review

Leave a review and let us know how we’re doing. Only actual clients, please.