Outbound campaign auditor for AI SDR teams

A sales team runs three outbound campaigns for six weeks and has no idea which one is silently bleeding replies into the void — because the tool they're using has no alerting when open rates drop, no flagging when a sequence step is converting at zero, and no diagnosis of why. That's the moment someone opens a spreadsheet and starts manually cross-referencing data that should have been surfaced automatically. The reason this gap persists is structural: AI SDR vendors are incentivised to make campaigns feel easy to launch, not easy to evaluate. Their revenue depends on activation, not on whether the campaigns actually work. A vendor who tells you your campaign is underperforming is also telling you their AI wrote bad copy — so they stay quiet.

The specific complaints here are damning: users say there's 'a lack of notifications or advice when campaigns are underperforming,' that the tool makes it 'difficult to evaluate performance,' and that they want 'more recommendations on how we can improve campaigns.' This isn't a feature request for a dashboard widget — it's a request for something that watches campaigns continuously and tells you what to do next, which requires opinionated logic that incumbent vendors won't build because it would expose their own AI output quality.

Without continuous monitoring, a sales team running five sequences across two tools discovers underperformance only at the end-of-quarter review — after six weeks of a broken step have burned through a prospect list that can't be reused. The need recurs every time a new campaign launches, every time a list gets refreshed, every time a new rep takes over a sequence.

What to build

Build a monitoring layer that connects to AI SDR tools via API, watches sequence-step-level engagement metrics in real time, and sends Slack or email alerts with a specific diagnosis — 'Step 3 has a 0% reply rate across 200 sends, subject line matches a spam-flagged pattern' — plus a ranked list of suggested fixes.

Where to start

Start with teams already exporting data manually into Google Sheets to track sequence performance — offer a direct Sheets integration that automates what they're already doing, then layer in alerting once you own the data pipeline.

The hard part

Getting reliable step-level data out of AI SDR APIs is inconsistent — most expose campaign-level aggregates, not per-step engagement broken down by send cohort, which means you may have to build per-vendor scrapers or middleware before you can deliver a single useful alert.

How it makes money

Monthly subscription per connected seat, starting around $30–50 per SDR seat per month, with a flat team tier for ops leads managing across multiple reps.