B2B SaaS Product Grows 3x to #1 in a 40-Product Suite
Client: finder.io (500apps)
A data-driven SEO and content strategy — built on a custom ML model — that tripled signups and made finder.io the top-performing product in a 40-product SaaS suite.
The Challenge
What They Were Facing
finder.io was a B2B email finder tool buried in a 40-product SaaS suite, averaging just 300 signups per month. There was no structured SEO strategy, no content pipeline, and no differentiated positioning. The product was competing for visibility against its own sibling products with no clear path to organic growth.
Our Solution
How We Solved It
We built a custom ML model using Python and NLP to scrape the site and analyze Google Search Console data, identifying high-potential keywords that competitors were missing. This powered a targeted content strategy focused on high-intent B2B queries. We also built a Neural Prophet time-series forecasting model to project growth trajectories and optimize resource allocation — turning gut-feel marketing into data-backed decisions.
Services Used
The Results
Impact by the Numbers
Here's exactly what changed after working with us.
Monthly Signups
300/mo
900/mo
Suite Ranking
Mid-tier
#1 of 40 products
Growth
Flat
3x in 4 months
Forecasted Trajectory
No model
1,800/mo projected
More Work
Other Case Studies
See more results we've delivered.
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