With cookie deprecation and cookieless testing top-of-mind for many media buyers, here is a quick overview of the best ways to set up and test Dstillery’s ID-free®, the only behavioral targeting solution without IDs. 

ID-free is a first-of-its-kind targeting technology that delivers performance, privacy, and scale by predicting the value of an impression to a brand without knowing anything about the user. This patented technology uses AI to learn from browsing patterns detected in de-identified opt-in panel data, ultimately answering the question: When someone visits a site, how likely will they be interested in your brand’s message?

Audience Definition

The first step is defining your target audience in your display, search, or CTV campaign. If you have used an ID-based Dstillery audience in the past and found it successful, you can simply request an ID-free version of the audience. If you haven’t, you can use a variety of signals such as first-party data, search terms, URL lists, or our catalog of thousands of pre-built audiences to seed your ID-free model.  

Campaign Setup

One of the most common pitfalls we see with testing is not allocating enough budget and time to allow the model to perform and optimize. We recommend three months for a proper cookieless test to truly understand how the audience performs against your KPIs. Beyond awareness metrics, ID-free excels in cost-per metrics such as:

  • Cost per action (CPA)
  • Cost per click (CPC)
  • Cost per complete view (CPCV)
  • Cost per site visit (CPSV)
  • Return on ad spend (ROAS)

In terms of budget, we recommend a $30,000 monthly budget in media – split out evenly between ID-free and ID-based versions of your audience – without highly restrictive inclusion lists and operating all hours of the day. These campaign parameters will allow you to truly understand and optimize your ID-free campaign with the most information available throughout the testing period.

Make the Most of Your ID-free Test

Our experienced Client Success teams can help you through all the details of creating a proper A/B testing framework. Beyond campaign parameters, to properly assess ID-free performance, efficiency, and scale, we recommend an A/B testing approach by running both ID-based and ID-free audiences in parallel. We recommend creating one line item for your ID-based audience and one for your ID-free audience. When creating these line items, try duplicating them rather than creating them from scratch. This ensures that various settings in your line items are identical, except for the singular variable (ID-based vs ID-free audience) you are testing. Also, since our industry still uses third-party cookies for attribution KPIs, we recommend targeting trackable Chrome inventory for both line items. 

Bonus Test to Assess Performance Outside of 3rd Party Cookies

Using conversions measured on trackable inventory, Dstillery can model the conversion rate per site across all domains specific to the campaign. Using this data, we can understand the performance of impressions delivered on inventory with no trackable identifiers. To learn more about this measurement, read our case study with Tombras, where we drove 2.5x more conversions than traditional cookie-based targeting.

Ready to test ID-free? Amazing. It’s available on every DSP. Contact one of our representatives to get started today.