<img alt="" src="https://www.smart-7-innovative.com/802971.png" style="display:none;">
Skip to main content
Request a Consultation
← All case studies
Client Success Story — Confidential

A scalable GTM engine proven in the first 30 days

How FullFunnel built a Clay-powered inbound and outbound engine to turn one of B2B's hardest-to-reach ICPs — independent retail store owners — into a repeatable pipeline source.
Client profile
Confidential
AudienceIndependent retail store owners (ICP)
ProgramGTM engineering
ChannelsEmail, LinkedIn, LinkedIn Ads
ToolsClay, LinkedIn Ads
Duration30 days
Results
GTM engineering program · 30 days
11

Qualified meetings booked

Within the first 30 days

1

Closed deal

In the first month

<$1,000

Total ad spend

Full multi-touch motion

The Challenge

One of B2B's hardest ICPs to reach cleanly.

The client was targeting one of the most difficult ICPs in B2B go-to-market: independent retail store owners. Unlike enterprise buyers, independent retail operators rarely appear cleanly in traditional prospecting databases — titles are inconsistent, listings are noisy, and many storefront businesses are indistinguishable from generic retail entities in standard data sources. Outbound efforts historically produced low-quality matches, wasted spend, and limited scalability. The client needed a way to reliably identify true physical storefronts, confirm owner or operator status, and activate this fragmented audience without heavy manual effort from a sales team.
The Approach

A Clay-powered identification and activation engine.

FullFunnel designed and deployed a Clay-powered inbound and outbound engine built specifically to solve the identification and activation problem.

Our work included:

  • Multi-Signal ICP Identification
    We built a Clay table that combined storefront-specific keywords, local business listing data, verified owner-operator titles, and product category language to isolate true independent retail businesses and eliminate generic retail noise.

  • Custom Scoring and Prioritization Model
    Each prospect was scored based on physical storefront confirmation, verified commercial activity, and role-level relevance. Only the highest-confidence matches flowed into downstream GTM motions.

  • Signal-Driven Personalized Outreach
    We developed individualized email and LinkedIn messaging informed by real-time market signals and observed pain points, creating warmer, more relevant first touches.

  • Integrated Inbound Activation via LinkedIn Ads
    The same Clay-sourced individuals and companies were activated through LinkedIn ads, reinforcing outbound touches and prompting meeting bookings through a coordinated multi-touch experience.

  • Fully Automated Execution 
The system required minimal ongoing involvement from the sales team, with enrichment, scoring, outreach, and ad activation running through a single automated workflow.

Layer 1

Multi-signal ICP identification

We built a Clay table combining storefront-specific keywords, local business listing data, verified owner-operator titles, and product category language to isolate true independent retail businesses and eliminate generic retail noise.

Layer 2

Custom scoring & prioritization model

Each prospect was scored on physical storefront confirmation, verified commercial activity, and role-level relevance. Only the highest-confidence matches flowed into downstream GTM motions.

Layer 3

Signal-driven personalized outreach

We developed individualized email and LinkedIn messaging informed by real-time market signals and observed pain points, creating warmer, more relevant first touches.

Layer 4

Integrated inbound activation via LinkedIn Ads

The same Clay-sourced individuals and companies were activated through LinkedIn ads, reinforcing outbound touches and prompting meeting bookings through a coordinated multi-touch experience.

Layer 5

Fully automated execution

The system required minimal ongoing involvement from the sales team, with enrichment, scoring, outreach, and ad activation running through a single automated workflow.

The Results

11 qualified meetings booked within the first 30 days.

Within the first 30 days, the engine demonstrated clear scalability and ROI:

  • 11 qualified meetings booked
  • 1 closed deal in the first month
  • Less than $1,000 in total ad spend
  • Fully automated multi-touch GTM motion
  • Minimal lift required from sales
What made these results notable was not just performance, but repeatability. The engine proved that even a highly fragmented and traditionally inaccessible ICP could be transformed into a scalable pipeline source through signal engineering, scoring discipline, and automated personalization.

Scalable by Design This engagement validated that Clay-powered signal detection and orchestration can unlock markets that are often written off as too difficult to pursue efficiently.

By focusing on ICP confirmation first and activation second, FullFunnel helped convert a challenging audience into a predictable, low-friction GTM motion that can scale without linear increases in cost or headcount.

Schedule a consultation to learn how FullFunnel builds signal-driven engines that turn hard-to-reach ICPs into scalable revenue pipelines.

Why It Works · Scalable by Design

Confirmation first, activation second.

This engagement validated that Clay-powered signal detection and orchestration can unlock markets that are often written off as too difficult to pursue efficiently. By focusing on ICP confirmation first and activation second, FullFunnel helped convert a challenging audience into a predictable, low-friction GTM motion that can scale without linear increases in cost or headcount. What made these results notable was not just performance, but repeatability.

Want a number like these on your funnel?

Bring us your current motion. We will tell you which lever moves first and what it takes.
Request a consultation