Case 02 · Creator-data platform NDA · name on the audit call

Outbound was dead. We rebuilt it as an engine that learns.

The world's largest creator-data API provider had burned its market: years of template outreach, everyone touched twice, meetings at zero. We installed a three-channel engine with a six-layer routing brain. Meetings went from zero to fifteen a month, and the engine mapped 75% of the addressable market on the way.

0 15meetings per month, and growing
23 40%+warm reply to meeting
75%of SAM mapped: 8,024 companies in 123 days
5-7kprospects touched per month

A ten-year category leader in a market of 15,000 companies.

Small, expert market. Everyone knows everyone, and everyone had already seen the client's emails. That is the hardest possible arena for outbound.

Creator-data platform Name under NDA · shared on the audit call

The world's largest API provider of creator data: 450M+ profiles across Instagram, TikTok and YouTube, ten years in market, selling data access to influencer platforms, agencies and social-commerce products worldwide.

ProductCreator-data API: 450M+ profiles across Instagram, TikTok, YouTube
In market10 years, category leader
Deal sizeFrom $5-10k per 6 months
TAM~10-15k companies worldwide
Core ICP~1,200-1,500 platforms that resell or build on creator data
Engagement2-month setup, 5 months in flight, ongoing

One more mass blast and the market was gone for good.

In-house outreach stopped working in 2026. The BD team ran the classic motion: find companies, send templates.
The base was burned. Most target accounts had been touched repeatedly; many already knew the pricing.
In a market of 10-15k companies there is no fresh list to buy. Repeating the mass motion would burn the base permanently.
Meetings from outbound: zero.

The task was not "more leads". It was to re-enter a burned market so precisely that people would thank you for the email.

Three channels, one routing brain, zero wasted replies.

S1

Three channels in sync

Email, LinkedIn and event-based outreach run as one system, not three teams. A re-engagement layer makes sure no reply ever dies: every response, including historical ones from before the engagement, is routed back through a different channel with a different angle.

S2

Six-layer routing matrix

The brain of the engine, calibrated on real call transcripts with named leads:

  • Outbound matrix: trigger + segment + role → message angle + offer
  • Response routing: reply pattern → precision angle + micro-proof
  • Pain-to-feature matrix across all 4 segments
  • Decision-maker metrics matrix
  • Infrastructure data-layers matrix
  • Re-engagement reply engine
S3

Deep personalization with a golden rule

Agents scrape each prospect's posts, articles, podcasts and events. The rule: if a personalized fact does not bridge to the product and its pains, cut it. Zero beats AI slop. A checking agent reads every email through the lead's eyes before it ships. Prospects started replying just to say thank you.

S4

Competitive intelligence layer

A separate layer of search agents maps which data provider every target account uses today, plus that provider's gaps. First touches open with "here is exactly where you are losing", not with "quick question".

S5

ABM and event-based funnel

For 5-50k employee enterprises standard outreach fails, so each account gets researched preparation. At CreatorFest 2026 the engine audited ~2,000 attendees, filtered them to a 68-account pack, warmed them pre-event and booked 3 meetings with tier-1 enterprise accounts, now in deal negotiation.

S6

Sales enablement on the same brain

Custom GPTs wired to the routing matrix: an SDR drops a screenshot of an upcoming meeting and gets briefed; drops the transcript after and gets the follow-up angle. Plus live sales training delivered to the client's team.

From dead channel to same-day buyers.

MetricBeforeAfter
Meetings per month0, outreach dead6, then 13, then 15 and growing
Warm reply to meeting23%40%+
Market coverageUnknown8,024 companies, ~75% of SAM, in 123 days
ICP segments24, two new segments discovered by the engine
Touches per monthSporadic5,000-7,000 prospects
Sales cycle on warm repliesStalledBuyers ready to purchase same day

"It's quite rare for me to receive an email like yours and genuinely be interested, but this one definitely caught my attention."

Prospect, replying to a cold email from the engine

"They work much deeper than any outreach team, because they are invested in the final ROI and in making the engine improve conversion at every stage."

Client CEO, paraphrased

The engine changed how the client sells.

Meetings became research.The team stopped rushing to pitch and started asking questions, because every meeting feeds the routing matrix.
Two new segments discovered.Social Commerce and Affiliate Performance were not on the client's map. The engine found them; Social Commerce already generates leads.
Full transparency.Work happens in a shared workspace. The client sees the process, the numbers, everything.
We speak their slang.The engine and the people behind it think in the client's processes. That is what "installed" means.
Who ran this. This engine was designed and operated end to end by Sofia Altman, Spice GTM co-founder, in her operating role. The client's name is under NDA and is shared, with references, on the audit call.

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All cases Refty · Creator-data platform · Nebius Academy