Figureit had no ICP map, no market data, and zero proof the product would sell. Personal network: exhausted. Deep-Y scored 900 contacts against a real ICP filter, built three segment-matched sequences, and within 60 days they had 158 replies, 64 demos, and 8 paying accounts from a cold start.
Day 1
Market scraped and validated
900 PPC agencies identified and scored by fit
Day 14
Segmented sequences live in Smartlead
3 sequences by agency size and service type
Day 30
Replies flooding in, demos filling the calendar
158 replies received, 64 demos booked
Day 60
Pipeline converted to recurring revenue
42 active opportunities, 8 paying clients signed
The GTM Proof
900 contacts. 17.5% reply rate. 8 paying clients. The math doesn't lie.
900
ICP-Scored
precision filter
→
158
Replied
17.5% reply rate
→
→
42
Pipeline
active at day 60
→
8
Paying clients
recurring revenue
The Challenge
A product with no ICP map, no market data, and no proof anyone would pay.
Before Deep-Y
0 paying accounts · 0 ICP signal
Built for PPC agencies, personal network exhausted, no validated ICP, no channel that worked. Paid acquisition too expensive to test an unproven hypothesis.
After Deep-Y
8 paying clients · 158 replies
ICP-scored cold outreach segmented by agency type, fast enough to generate signal in weeks. 900 contacts, 17.5% reply rate vs 1-3% industry average.
60 days
From zero market proof to validated GTM. 8 paying clients, 64 demos booked, positioning confirmed by who actually paid.
17.5% Reply Rate on Cold B2B Outreach
17.5%
Industry benchmark for cold B2B outreach is 1-3% reply rate. Figureit hit 17.5% because every sequence was built for a specific agency segment - each message referenced the exact reporting pain point that segment actually had. ICP precision is what separates 1% from 17.5%.
The System
How we built the GTM system
01
Market scraping + ICP validation
Scraped every PPC agency in the addressable market and scored each against Figureit's profile: agency size, service mix, tooling, client verticals. 900 passed. Every contact verified before a single send.
02
Segmented sequences by agency type
3 Smartlead sequences - boutique, mid-size, and large multi-client shops - each referencing the exact reporting pain point that segment actually had. No generic template ran to any of them.
03
Reply handling + demo routing
High-intent replies routed to calendar booking. Mid-intent to nurture. Low-intent tagged for 30-day re-engagement. 64 demos booked with zero manual inbox work.
04
Weekly feedback loop
Objections from early replies fed back into subject lines and openers. By week 3, sequences outperformed week 1 by 2.4x on reply rate.
The Result
From zero market proof to 8 recurring clients in 60 days
→
158
17.5% reply rate
Replies received
→
64
40% of replies
Demos booked
→
8
from cold start
Clients signed
Smartlead campaign · 60 days · Zero paid acquisition · 3 agency segments
- Agencies scraped + validated900
- Replies received158 (17.5% reply rate)
- Demos booked64 (40% of replies)
- Pipeline opportunities opened42
- Recurring paying clients signed8
- Timeframe60 days from first send
8 recurring paying clients from 900 cold contacts in 60 days - 17.5% reply rate against a 1-3% industry average. ICP precision and segment-matched sequences did what referrals and inbound couldn't: validated the GTM fast enough to act on it.
"We had the product. We did not have the clients. Deep-Y scraped the entire market, built three sequences, and got us 158 replies and 8 paying accounts in 60 days. The GTM hypothesis is now a proven channel."
FI
Figureit
Analytics SaaS · GTM Stage
