Performance marketing agent for pipeline generation at PLG companies

A simple check that current customers and open opportunities are excluded from acquisition campaigns on every channel.

The performance marketing agent's general report: one view of spend, results and cost per goal across every connected channel, with what changed and why. Affiliate and SEO numbers are optional extras that need a data source you connect.

Ranks the biggest dollar opportunities across every channel this week (budget-limited winners, wasted spend, expansion and tests to run) so Monday's approval queue starts with what matters.

Reads support and churn-risk signals by segment and pulls upsell and renewal ads from customers who are having a bad time, then restores them when it clears.

Reports what a new customer costs overall and on paid channels, how fast that cost pays back and how it compares with customer value, using CRM and billing data rather than platform conversions.

Sends a value for each signup to the ad platforms, based on your own product and revenue data, so bidding favors people who go on to become customers. If you have a value model you trust it uses that; otherwise it uses a simple rule from your history of what similar signups have gone on to pay.

Builds a cross-channel sequence: high-intent search clickers who did not convert get follow-up proof on Meta and LinkedIn.

Takes proven Google Search keywords, themes and ad copy and rebuilds them as LinkedIn Ads campaigns, targets and creative.

Takes proven LinkedIn messaging and thought leadership and rebuilds it for cheaper reach on X and Reddit.

For SaaS, sets channel spend limits from how fast each channel pays back its cost rather than a flat budget: channels that pay back fast earn more room.

The performance marketing agent's weekly budget rebalance across every connected channel, based on where the next dollar works hardest and pipeline quality.

Recomputes next month's cap from forecast pipeline coverage, revenue targets and how fast spend pays back, instead of a static number set once a quarter.

Keeps testing new seed definitions (by value, recency, product and segment) for lookalike and predictive audiences, and promotes the seeds that produce the best customers.

Uses an LLM to cluster recent wins in the CRM into new ICP segments, and turns each one into targeting for every channel.

Tracks registrations against capacity for every event and scales campaigns so each one is 100% full a week out, then stops spending.