This SaaS company provides cloud-based bookkeeping software designed for freelancers, solopreneurs, and small business owners. Their platform includes income tracking, automated invoicing, receipt capture, and tax-ready reporting, all in a sleek, user-friendly dashboard.
The brand had grown steadily through referrals, organic content, and word of mouth. But to hit their next revenue target, they needed to scale paid acquisition... and Meta was the logical channel.
Early campaign tests showed promise. Clicks were cheap. Traffic was steady. But trial signups were inconsistent, and most leads didn’t convert. The problem wasn’t spend, it was audience quality.
Their marketing team had built out solid creatives, invested in strong landing pages, and experimented with Advantage+ campaigns and interest-based targeting. But the results were flat:
The audience Meta was optimizing against didn’t match the product’s core buyer: small business owners who were actively looking for accounting help. Without that intent, campaigns couldn’t serve efficiently.
The SaaS team partnered with Slopeside to rebuild their paid targeting strategy using Lift, a custom audience segment based on recent search and browsing behavior. Slopeside delivered an audience of users who had:
The audience was synced as a custom seed into Meta and used to build 1% and 2% lookalike audiences. Unlike static lists, Slopeside’s Lift audiences update every 24 hours, automatically refreshing the seed with new, verified users based on real-time behavior. That means your lookalikes aren’t just strong on day one. They get smarter over time, consistently learning from in-market signals and keeping your targeting fresh and high-intent.
No changes were made to creative or budget. Just the audience.
Within the first 30 days:
These were high-quality users who understood the product, had real problems to solve, and converted quickly after engaging with the platform. Meta’s learning phase shortened. Lead quality increased. And retention rose, thanks to stronger initial alignment.
Broad interest targeting put ads in front of people who might care someday. Lift put them in front of people who cared right now. With no changes to offer, funnel, or design, performance lifted just by switching the audience. That’s the power of targeting users based on real behavior.
After proving success with Lift, the brand now:
Meta is no longer just a test channel, it’s a predictable acquisition engine.
How an accounting software company used Slopeside’s Lift product to turn Meta into a consistent lead source and boost trial-to-paid conversion.
Improved from 1.0x baseline after swapping audiences
With higher-quality traffic and better targeting precision
Driven by more relevant users entering the funnel
This SaaS company provides cloud-based bookkeeping software designed for freelancers, solopreneurs, and small business owners. Their platform includes income tracking, automated invoicing, receipt capture, and tax-ready reporting, all in a sleek, user-friendly dashboard.
The brand had grown steadily through referrals, organic content, and word of mouth. But to hit their next revenue target, they needed to scale paid acquisition... and Meta was the logical channel.
Early campaign tests showed promise. Clicks were cheap. Traffic was steady. But trial signups were inconsistent, and most leads didn’t convert. The problem wasn’t spend, it was audience quality.
Their marketing team had built out solid creatives, invested in strong landing pages, and experimented with Advantage+ campaigns and interest-based targeting. But the results were flat:
The audience Meta was optimizing against didn’t match the product’s core buyer: small business owners who were actively looking for accounting help. Without that intent, campaigns couldn’t serve efficiently.
The SaaS team partnered with Slopeside to rebuild their paid targeting strategy using Lift, a custom audience segment based on recent search and browsing behavior. Slopeside delivered an audience of users who had:
The audience was synced as a custom seed into Meta and used to build 1% and 2% lookalike audiences. Unlike static lists, Slopeside’s Lift audiences update every 24 hours, automatically refreshing the seed with new, verified users based on real-time behavior. That means your lookalikes aren’t just strong on day one. They get smarter over time, consistently learning from in-market signals and keeping your targeting fresh and high-intent.
No changes were made to creative or budget. Just the audience.
Within the first 30 days:
These were high-quality users who understood the product, had real problems to solve, and converted quickly after engaging with the platform. Meta’s learning phase shortened. Lead quality increased. And retention rose, thanks to stronger initial alignment.
Broad interest targeting put ads in front of people who might care someday. Lift put them in front of people who cared right now. With no changes to offer, funnel, or design, performance lifted just by switching the audience. That’s the power of targeting users based on real behavior.
After proving success with Lift, the brand now:
Meta is no longer just a test channel, it’s a predictable acquisition engine.
