Before this system ran, Figureit had no ICP map, no market data, and zero proof the product would sell. They had reached their personal network and stalled at zero. Deep-Y built the intelligence layer first - scored 900 contacts against a real ICP filter, built three segment-matched sequences, and within 60 days they had 42 active pipeline opportunities and 8 paying accounts.
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 and scored every PPC agency in the addressable market against Figureit's ideal profile: agency size, service mix, tooling, and client verticals. 900 accounts passed the filter. Every contact verified before a single sequence was sent.
02
Segmented sequences by agency type
Three sequences built in Smartlead - small boutique agencies, mid-size performance shops, and large multi-client agencies. Each sequence referenced the specific reporting pain point that segment actually had. No single generic template.
03
Reply handling + demo routing
Replies routed automatically by intent signal - high-intent to calendar booking, mid-intent to a nurture follow-up, low-intent tagged for re-engagement at 30 days. No lead fell through the cracks.
04
Weekly feedback loop into copy
Objections from early replies fed back into subject lines and opener rewrites. By week 3 the sequences were outperforming week 1 by 2.4x on reply rate. The system got smarter with every send.
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
Figureit went from zero market proof to 8 recurring paying clients in 60 days - not from a referral, not from inbound, but from a cold start powered by ICP precision and segment-matched sequences. The GTM hypothesis is no longer a hypothesis.
"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
