GraiAI

GraiAI · AI research software · First 3 weeks

12 qualified meetings in GraiAI's first 3 weeks of outbound

GraiAI is an AI research agent. Researchers affiliated with 80+ institutions, including Georgia Tech, Carnegie Mellon and Cornell, have run more than 1,500 projects on it. This is what the first 21 days of a Revenue Inbox engagement look like, from a cold start.

Campaign dashboard

Campaign overview
Running
GraiAICampaign window: First 21 days
qualified meetings booked
12
opportunities
25
emails sent
45,000
days live
21

Campaign volume

First 21 days
GraiAI campaign volumeReported campaign totals. Daily or weekly distribution is reconstructed from the supplied aggregate and ramp profile, not a dated transaction log.20 · 30-day guarantee
Day 1Day 21
Emails sentMeetings booked

Campaign totals are sourced. The daily or weekly profile is reconstructed.

Campaign funnel

Emails sent45,000
Replies, approximately~504
1.1% from prior stage
Opportunities25
5.0% from prior stage
Qualified meetings12
48.0% from prior stage

Bar widths use a square-root scale. Counts and conversion rates are shown explicitly.

Activity

Representative events
  • Meeting bookedAssociate Professor · Engineering
  • Meeting bookedPhD Researcher · Computational biology
  • Meeting bookedResearch Lead · Applied AI lab
  • Meeting bookedPostdoctoral Fellow · Economics

Totals pulled from the client's Instantly account. Dates shown are the campaign window.

The situation

GraiAI came to us with no outbound running. No sending infrastructure, no lists, no tested copy. Everything was built from zero.

Why we're showing a 3-week result

Most case studies show a best month after a year of tuning. This one shows the start. If you're deciding whether to work with us, the first three weeks are what you'll actually experience.

What we did

1. We built and warmed the infrastructure for them. Domains, mailboxes and warm-up were set up and managed on GraiAI's behalf. They didn't touch a single DNS record.

2. We built a list around their real buyer. Targeting was modelled on the researchers already using GraiAI, then enriched and verified so every email reached an active researcher in a relevant field.

3. We let the product sell itself. Researchers are skeptical of AI claims. So the email leads with proof they respect, the institutions whose researchers already use it, and removes the cost of trying: $100 in credits to test it on their own work.

4. We launched small and scaled on proof. Sending started conservatively and increased only as inbox placement held, reaching 45,000 emails by day 21.

One email from the campaign

Merge field notes
  • {value prop}: written per researcher from their field and recent work.

Results

Metric Value
Days live 21
Emails sent 45,000
Reply rate 1.12%
Replies ~500
Opportunities 25
Qualified meetings booked 12
Opportunity to meeting 48%

What it meant

Our standard promise is 20 qualified meetings in 30 days. GraiAI booked 12 in its first 21 days. And the campaign is still ramping.

Built with

Clay · Apollo · Mailtester Ninja · Instantly

How we count
  • Emails sent: every email delivered by the sequencer, first touches and follow-ups combined.
  • Reply rate: replies divided by leads contacted, as reported by Instantly.
  • Positive reply: a reply showing interest. Not a meeting yet.
  • Qualified opportunity: a positive reply from a decision-maker at a company that fits the client's ICP, flagged as an opportunity in Instantly.
  • Qualified meeting: a booked call with a decision-maker that meets the client's qualification criteria.
  • Attended: the prospect actually showed up.

Let’s talk about your market

Want to see what your first 3 weeks could look like? Book a call.

30 minutes. We'll map your market and tell you honestly if outbound will work for it.

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