340% Qualified Lead Growth While Cutting CPQL by 46% for Gushwork
Gushwork is a done-for-you AI search and SEO platform that helps businesses show up inside ChatGPT, Gemini, and traditional search — without retainers, without writing a single piece of content themselves, and with leads landing in their inbox within 90 days. The category is brand new, the buyer is sophisticated, and the messaging surface is wide. That's a hard combination to scale efficiently on Meta.
When we took over the account, the existing setup was constrained: a single state targeted, two creatives running, and an event layer that gave Meta almost no signal about which leads were worth chasing. In under 60 days, we rebuilt the funnel, the account structure, and the creative system from scratch — driving 340% qualified lead growth, six figures in NMRR, and a 46% reduction in cost per qualified lead.
Funnel and Event Optimization Strategy
The first move was getting Meta pointed at the right conversion events. The pre-existing setup was optimizing toward a generic Lead event with no qualification logic baked in, which meant the algorithm was happily finding the cheapest possible form submitters, most of whom were never going to close. For a B2B SaaS product with a demo-driven sales motion, that's an immediate efficiency cap.
We rebuilt the event layer from the ground up. Form submissions still mapped to the Lead event, but with disqualify logic added in based on revenue and employee count. Qualified leads from the inline B2B question mapped to a Start Trial event. Demos booked mapped to Schedule, demo shows mapped to Complete Registration, and closed/won mapped to Subscribe. This gave Meta a clean priority hierarchy of standard events to optimize against as we walked the optimization signal deeper down the funnel.
We launched optimizing for Schedule (demo booked) first, the deepest event with enough volume to support stable learning. Once Start Trial had accumulated 25+ events, we launched a parallel Audience Testing campaign optimizing for that qualified lead event, giving us a second source of high-quality top-of-funnel signal feeding the algorithm. From there, we ran a 50/50 VWO redirect test from the existing landing page to a Flighted-built paid LP. The pieces compounded: every layer of the funnel was suddenly aligned with the same downstream definition of a real lead.
Ad Account Optimizations and Scaling
Structure followed strategy. We collapsed the fragmented legacy setup into a clean two-campaign ad account architecture: a CBO Creative Testing campaign launching at $500/day under Highest Volume bidding, and a CBO Scaling campaign holding only the Post IDs of proven winners from testing. This is the same test → scale separation we run for nearly every B2B account — testing needs speed and variance, scaling needs stability and signal density, and trying to do both inside the same campaign is the single fastest way to keep an account permanently stuck in learning.
Targeting expanded from a single state to nationwide on day one. Within the Scaling campaign, we ran a 4-cell audience test in parallel with creative testing: the original existing-audience configuration, a stacked 1% Lookalike of all past converted leads, a themed interest stack built around owner/founder/CEO titles, and Advantage+ targeting as the control. We let the Stacked Interests audience emerge as the top spending and most efficient cell, then consolidated budget behind it as audience signals matured.
Scaling was a controlled rhythm, not a budget dump. We started at $500/day, climbed to $2,550/day at peak across all campaigns, and used spend minimums sparingly to force learning on emerging audience cells without overriding Meta's allocation logic. When the Audience Testing campaign began driving the lowest cost per demo in the account, we pulled spend out of pure Prospecting and into the audience that was actually converting. Consolidation kept paying off: every time we collapsed underperforming ad sets back into the main scale ad set, performance got more stable, not less.
Creative Strategy
Diverse, quality creative was the unlock. We built five distinct concept families in the first 60 days, each engineered to test a different angle of the AI search story: UGC Hooks + Short Explainer (review-style social proof followed by a fast product demo), 5 Reasons Why (industry-specific pain points with the financial firms cut emerging as a top performer), When You Do The Math (a comparison static showing Gushwork vs. cobbling together SEO agencies and tools), Apology Letter (long-form static apologizing for Gushwork not existing sooner), and Meme Templates (old-school memes contrasting traditional SEO against Gushwork's done-for-you model).
The UGC Hooks + Short Explainer format pulled away early - a single video using a non-industry-specific hook focused on lead quality drove the lowest CPC in the account at $7.34 against an account average of $10.29, and quickly became the top spending ad across the entire program. Lead quality on the back of it confirmed what the engagement metrics were telling us: 40% of initial submissions were B2B, and 8 of the first 10 qualified leads booked demos.
May creative leaned into what was working. We mashed our UGC review videos into a single high-density social proof asset, built a ChatGPT-interface video showing a search query resolving to "your business," and rolled out our top FLI formats — Before/After IG Story, Organic Authority Slideshow, Apple Notes Pain Point Testing — with the winning April headlines and verbiage layered in. New concepts launched directly into the main scale ad set rather than getting isolated, so Meta could promote winners against incumbents without us resetting learning.
Conclusion
Sixty days of structural discipline, funnel rebuilding, and high-velocity creative testing took Gushwork from a constrained legacy setup to a scaled Meta program driving real revenue. The combined work — clean standard event mapping, separated test and scale architecture, a winning audience layer, and a creative system built around proven UGC formats — delivered 340% qualified lead growth, six figures in NMRR, and a 46% reduction in CPQL. The foundation now compounds: more spend, more concepts, more qualified pipeline at a CAC that improves as the account matures.
