The situation

Right now, outreach runs through 5 SDRs manually sending 20-30 emails each per day — 100-150/day total — connecting brands to influencer partnerships, paid on a pooled 20% commission split. That's real volume moving through largely templated messages, and at that volume small personalization or deliverability gaps compound fast.

This isn't a proposal to rebuild that system. It's a two-week, no-cost test of one specific idea: does referencing something real and specific about each brand — instead of a generic template — move the reply rate on contacts you already have.

What's included

• Signal research on ~50-100 of your existing contacts
• One AI-assisted, tightly-constrained icebreaker per contact
• Full email drafts handed back for your SDRs to send
• Sent through your existing tool — nothing new to adopt
• A matched control batch sent the normal way, same week
• A shared tracking sheet — sent, replied, sentiment, meeting booked
• A short readout comparing personalized vs. control reply rates
• No cost, no commitment either way

How this works

• Signal sourcing
  Each contact gets a quick, targeted look — company site, recent post, or launch — before anything is written. Why: generic AI personalization (merge-tag first names) gets ignored; a real, specific detail is what actually moves reply rates. If nothing usable turns up, that contact is dropped from the batch rather than faked.
• Constrained icebreaker
  Each opening line is capped at 15 words and required to reference the specific signal found. Why: unconstrained AI writes like a marketer; boxed-in AI writes like someone who spent two minutes on the page. Generated from a fixed prompt template, not free-form copywriting.
• Human QA pass
  Every generated line gets read before anything sends. Why: catches anything that sounds forced or presumptuous — trust matters more than volume here.
• Lightweight tracking
  A shared spreadsheet, not new software. Why: this pilot is testing an idea, not selling infrastructure — a dashboard would be scope creep before there's proof it's worth building.

Pilot terms

Free, for two weeks, using what you already have. No invoice, no new tools, no commitment on either side.

• Not included this round — deliverability infra changes, new sending tools, or a tracking dashboard. Those are only worth discussing if the pilot shows a real lift.
• What happens after — if reply rates move in a meaningful way, we talk about what a paid version could look like. Nothing priced or decided upfront — that gets figured out from what the pilot actually shows.

Next steps

1. Send over a sample list ~50-100 contacts you're already working, plus your current email template.
2. Personalization pass Signal research + icebreaker generation + QA on the full batch.
3. Send both batches Your team sends the personalized batch and a matched control batch through your existing tool, same week.
4. Compare results After 1-2 weeks, review reply rates side by side and decide together what's next.