AI agent predictions for ad platforms

Customer value predictions

Predictions are communicated to meta/google to optimize ads against

For businesses with long sales cycles allows for much faster testing & optimization

Extract signal from the 99% of users who do not purchase

Hierarchy of ads optimization goals

Your account is associated with a unique email address, password, and billing information.

We train on sales

What % of your customers buy...probably less than 10%, maybe less than 1%.

So nothing is learned from 90-99%+ of the customers who do not buy within the 7 or 30 day attribution window

Chat GPT/ Grok/ BARD are trained on all the text data from the internet...

What are your ad accounts being trained on?”

Example of 2 users with a value of $0 being sent back to ad platforms (using sales as the conversion goal):

User 1

Spends 30 minutes browsing your site across 3 different days

Views 6 products and 50 photos

Signs up for your newsletter

Ultimately buys on day 45...and 60...and 90

User 2

Single session for 2 seconds

The signal you are sending back to the ad platforms is that both of these users are worth the exact same to your business - $0

Example of 2 users with the same value (using click/lead/add to cart –any metric other than sales):

User 1

Submits a lead

Contact inquiry is to sell their own services

Spends no time on your site

User 2

Submits a lead

Contact inquiry is about purchasing your product

Spends 20 minutes on your site browsing multiple products

Our AI agent is trained on every website interaction a user makes with your site to produce a predicted future purchase value. It then talks to google/meta/tiktok ad platforms and tells them the real signal to use for bidding.

Benefits of using predicted purchase value to optimize ad accounts:

Ad accounts become more efficient.

Spend less to receive the same $ of sales. Or spend the same to get more sales. Increase return on investment by up to 50% vs. optimizing to sales conversion value, or 90%+ vs upper funnel metrics (clicks, leads, adds to cart, etc.)

Learning cycle is dramatically reduced.

If your product/service has a long sales cycle it can take months to see how newly acquired customers mature into purchasers. If you have to wait 3 months after running ads to see the value of the customers they bring in you will only be able to try a few new things per year.

By knowing a user's predicted purchase value you can immediately compare the effectiveness of a new creative/channel/message vs. existing campaigns.

This advanced insight allows for testing & validating new strategies in days rather than months.

AI agent predictions for ad platforms

Customer value predictions

Hierarchy of ads optimization goals

Benefits of using predicted purchase value to optimize ad accounts:

Tech Stack

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