How a SaaS SDR Team Scaled Outbound 10x with Tapistro
See how a B2B SaaS company used Tapistro to automate outbound prospecting, increase open rates 4x, and scale outreach volume 10x without adding headcount.
10x
Outbound Volume Increase
~100%
Research Time Eliminated
A large TAM, a small team, and a week lost before any selling began
Most SDR teams are not losing because they are not working hard enough. They are losing because too much of their working week happens before any selling begins: research, list building, and writing personalized messages one account at a time.
This mid-market B2B SaaS company had a large TAM, a small SDR team, and a pipeline target that required both to work together efficiently. They were not. Research and list-building consumed most of the team's working week before any outreach could begin.
Accounts were prioritized by rep intuition rather than any systematic signal of readiness or fit. Outreach was generic enough to not convert but manual enough to not scale, and with no visibility into real-time buying signals, every account was worked the same way whether it was in-market or not.
The reps stayed. The prep work did not.
Tapistro replaced every manual pre-outreach step with an end-to-end automated workflow, turning a rep-driven operation into a signal-aware GTM motion that could scale volume without scaling headcount.
Discover ICP companies
AI-driven lead discovery continuously identified ICP-matched companies from web crawls and third-party sources, with no manual list building or static CSVs.
Enrich every account
Tap AI Agents added contact details, tech stack, hiring activity, and funding signals, building a full account profile before any rep touched it.
Tier and route
A Classification Agent micro-segmented accounts into ICP tiers. Tier 1 accounts routed automatically to SDR calling queues, while Tier 2 and 3 went into automated nurture tracks.
Launch 1:1 sequences
Personalized sequences launched automatically from individual rep mailboxes, with subject lines and copy tailored to each account's specific signals. Not mail merge, and not templates with a first name swapped in.
What changed once the prep work was automated
- Open rates increased 4x as personalized 1:1 sequences, each referencing account-specific signals, replaced generic templates
- Outbound volume scaled 10x with no increase in headcount, as AI handled all pre-outreach work previously done by reps
- Non-pipeline ICP accounts identified and surfaced, expanding the quarterly account list with in-market prospects that would otherwise have been missed
- CRM records updated with accurate contact details, firmographics, and signals, giving marketing a cleaner data foundation for its own campaigns
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