An SDR sits down to build a campaign targeting Series B SaaS companies actively hiring SDRs who use Salesforce but not an outbound sequencing tool. Every AI SDR product on the market forces them to apply filters one at a time, with no way to combine funding stage, hiring signal, and tech stack into a single saved audience — users explicitly call this out as 'limited control over signals/targeting: can't combine complex filters like funding plus tech stack plus hiring.' So they end up building three separate lists in three separate exports and stitching them together in a spreadsheet before importing back.

The reason this gap persists is that AI SDR vendors are building toward the buyer who wants everything automated — they're optimizing for the person who says 'just find me leads and send emails.' The SDR who wants precise targeting control is a different buyer with a different mental model, and building a sophisticated filter composer that handles boolean logic across multiple third-party data sources is genuinely hard to maintain as data providers change their schemas. So vendors ship a simplified filter UI and call it good.

The complaints go further than just targeting: users can't save a campaign before activating it, can't edit a scheduled email without cancelling the sequence, can't move a prospect out of an OOO pause without touching support. Each of these is a workflow that breaks in the middle of the sales day, which means the SDR either does something wrong or stops working. The cost isn't abstract — it's a delayed follow-up on a warm reply, which in outbound sales is often the difference between booking and losing the meeting.

This is a business because targeting precision and campaign editability are not one-time setup problems. Every new campaign requires rebuilding the audience. Every reply requires manually adjusting a sequence. The friction recurs daily.

What to build

Build a campaign construction interface that lets SDRs define audiences using boolean combinations of funding stage, tech stack, headcount, and job posting signals from plugged-in data providers, then draft and stage full multi-step sequences with per-step editing and draft-save before any email is sent — exporting the finalized campaign into their existing sequencing tool via API.

Where to start

Start with teams that already have a data provider they like (say, they're paying for intent or technographic data separately) and are frustrated only by the campaign assembly step — position as the composition layer that plugs into their existing data rather than replacing it.

The hard part

The value depends entirely on the quality and freshness of the underlying signal data — funding, tech stack, hiring — which means you're either licensing expensive data sources from day one or building on top of free signals that are too stale to be actionable, and that trade-off has to be made before you have paying customers to fund the data costs.

How it makes money

Per-seat monthly subscription for SDRs, with a higher tier unlocking more complex filter logic and multi-source data joins; upsell on additional data connector integrations.

See the evidence. The complaints behind this idea, the products they came from, and similar ideas in AI Sales Assistant.

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