Paid Lens

Frequently looked up

Q1How are recommendations generated?

Paid Lens pulls campaign, analytics, and CRM data through read-only connections, normalizes it into one measurement standard, then links spend to downstream pipeline and revenue. A reasoning layer compares candidate actions against your stated goal and returns the ones with the largest expected effect, each with the underlying figures, the date range used, and the options it rejected.

Q2Can Paid Lens make changes automatically?

No. Paid Lens never writes to your ad accounts. Every recommendation is a proposal that a person on your team reviews, approves, or dismisses. Approved items become assignable tasks; the change itself is made by you in the platform that owns it.

Q3How accurate are recommendations?

Accuracy depends on how much clean data a recommendation rests on, which is why each one carries a confidence score instead of a single claim. Low-confidence calls are labeled as such rather than smoothed over, and outcomes are tracked after the fact so you can see how prior recommendations actually performed.

Q4What platforms are supported?

Google Ads, Microsoft Ads, Meta Ads, LinkedIn Ads, GA4, and revenue systems including Stripe and common CRMs. The full list, with what each connection reads, is on the integrations pages.

Q5How is my data protected?

Connections use read-only OAuth scopes, so credentials are never stored in Paid Lens. Data is encrypted in transit with TLS and at rest, workspaces are isolated from one another, and access inside your workspace is controlled by role. Paid Lens does not sell data or use your account data to train models for other customers.