Performance marketing agent for pipeline generation at SaaS companies

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

A simple weekly check of lead count, cost per lead and the share of leads sales accepted, by channel and campaign.

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.

Measures how paid ABM touches move target accounts: engagement before opportunity creation, stage velocity and win rate vs unreached accounts.

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.

Ages every opportunity by the campaign that sourced it, and cuts or reroutes spend where deals sit in one stage far longer than the rest of your pipeline.

Reads open demo slots and lead backlog, then scales lead campaigns up when reps have room and throttles them when leads would sit untouched.

Compares pipeline coverage with the quarter's target every week, and raises spend on the most efficient sources when coverage trails, inside the cap.

Extends ABM beyond LinkedIn: finds where your target accounts' buyers actually show up on X, Reddit and ChatGPT, and funds the channels that move those accounts toward pipeline.

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.

Shows how fast paid-sourced opportunities move and close by channel: win rate, deal size and cycle length, not just pipeline created.

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.

Raises lead volume on the campaigns where extra spend keeps lead quality intact, and stops scaling where volume growth comes from junk leads.

Moves target accounts through awareness, engagement and opportunity stages, with LinkedIn as the account-level channel and CRM-synced audiences on the other channels, and budgets that adapt to each account's signals.

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.