Overview
TestParty is an early-stage AI startup offering automated website compliance solutions for e-commerce brands — a high-value, high-urgency product for Shopify merchants exposed to legal liability. When they came on as a client, they had never run a single paid media campaign. No infrastructure, no audience data, no playbook.
The goal was aggressive: scale ARR from $10M to $30M through accelerated demand generation and pipeline growth. I was brought in to build the entire paid media operation from the ground up — strategy, channel selection, ICP development, audience architecture, attribution, and bidding — and then prove it could scale.
The Challenge
- Zero paid media history — no benchmarks, no pixel data, no audience insights to build on
- Niche, high-intent ICP requiring surgical targeting: Shopify brands with $1M+ revenue, with a secondary segment actively under lawsuit
- Early-stage budget requiring maximum efficiency — no room for wasted spend during the learning phase
- Need to establish lead quality signals quickly and prove pipeline impact, not just lead volume
- Meta underperformed in week one — requiring a rapid, confident channel pivot without losing momentum
The Strategy
ICP Development & Hyper-Targeted Audience Architecture
- Built the ICP from scratch: defined two primary segments — Shopify brands with $1M+ revenue (compliance risk) and the same criteria but actively under lawsuit (urgent buyers)
- Used Apollo.io to identify and build hyper-specific company and contact lists matching the ICP criteria at scale
- Ran those lists through Primer for data enrichment and audience activation — achieving high match rates on LinkedIn for contact-level targeting
- Combined uploaded lists with LinkedIn's native audience targeting layers (company size, industry, job function, seniority) for a dual-signal targeting structure that minimized wasted impressions
Channel Strategy: Rapid Meta-to-LinkedIn Pivot
- Launched initially on Meta to test messaging and gather early conversion data
- Within week one, identified that Meta leads were low quality — high volume, low SQL conversion rate — a clear signal the channel wasn't right for this B2B compliance ICP
- Executed a full pivot to LinkedIn, reallocating budget and rebuilding campaign architecture around LinkedIn's professional targeting capabilities
- Deployed two simultaneous LinkedIn formats: Conversation Ads with incentive-driven CTAs for direct pipeline capture, and Thought Leadership Ads to build authority and warm the ICP before conversion
Messaging-First Creative Philosophy
- Deliberately prioritized messaging and copy over ad creative — the value proposition and pain points did the heavy lifting, not design
- Anchored all copy around the two core pain points: legal liability from non-compliant websites and the operational cost of manual compliance management
- Conversation Ad sequences were engineered to qualify intent before passing leads to sales — filtering for SQLs at the ad level, not after
Attribution & Lead Scoring Infrastructure
- Integrated HubSpot as the attribution backbone — built granular UTM tracking across all campaigns to create a clear, channel-by-channel view of pipeline contribution
- Developed a lead scoring model that mapped ad engagement signals to SQL likelihood — enabling sales to prioritize outreach based on media behavior, not just form fills
- Implemented automated bidding strategies tuned to minimize ad waste and optimize toward lead quality, not raw volume
The Results
95%
SQL rate — nearly every paid lead qualified by sales
<$100
Cost per SQL — well below enterprise benchmarks for B2B SaaS
+70%
Pipeline revenue increase within two months of launch
$10M → $30M
ARR target — exceeding forecast trajectory before handoff
Week 1 Pivot
Identified Meta underperformance and fully reallocated to LinkedIn in under a week — preserving budget and accelerating time-to-pipeline
What Was Built from Scratch
This engagement wasn't just campaign management — it was building an entire growth infrastructure for a company that had never run paid advertising:
- Full go-to-market paid media strategy for a net-new advertiser
- ICP definition and segmentation framework (two distinct audience tiers)
- Data enrichment and audience activation pipeline (Apollo.io → Primer → LinkedIn)
- LinkedIn campaign architecture: Conversation Ads + Thought Leadership Ads running simultaneously
- HubSpot attribution setup with granular UTM taxonomy and lead scoring model
- Automated bidding framework calibrated for quality-over-volume optimization
- Scalable playbook and methodology designed for replication — handed off with full documentation for the team to continue and scale
Role & Context
Role: Paid Media Lead · Period: Initial 2-month GTM launch + continued management · Channels: LinkedIn Ads (Conversation + Thought Leadership), Meta Ads
Tools: LinkedIn Campaign Manager, Apollo.io, Primer, HubSpot, Meta Ads Manager · Industry: AI · Website Compliance · B2B SaaS · Early Stage
Key Takeaways
- For niche B2B ICPs, first-party data enrichment (Apollo + Primer) combined with LinkedIn targeting produces dramatically higher lead quality than broad interest-based targeting
- Messaging and copy drive B2B conversion more than creative — getting the value proposition and pain points right is the real optimization lever
- Speed of diagnosis matters: catching poor lead quality in week one and pivoting confidently saved months of wasted spend
- Qualifying intent at the ad level (Conversation Ads) — not just at the sales stage — is what pushed SQL rates toward 95%
- Attribution infrastructure built early pays dividends throughout the engagement — HubSpot + UTM tracking made every optimization decision faster and more confident
- A well-documented, scalable playbook is the real deliverable for early-stage clients — the campaign is the proof of concept; the methodology is the asset