Awareness
Inbound demand already existed. The real issue came after signup.
Foxit had product usage, billing, support, and marketing data living in separate systems. That made it hard to answer simple growth questions quickly: where activation stalled, which behaviors predicted paid conversion, and when to trigger nurture, upsell, or human follow-up.
Foxit was not a top-of-funnel media problem. The leverage was in the middle of the lifecycle: user activation, paid conversion, and post-conversion expansion signals working off one trusted data layer.
Inbound demand already existed. The real issue came after signup.
Behavior-based segmentation made stalled users visible earlier.
Shared product and billing signals clarified who was ready to convert.
Support and usage data were brought into the same operating view.
Nurture and upsell timing improved because the trigger logic got sharper.
The work supported retention and expansion more than referral acquisition.
Product, billing, support, and marketing all had useful signals, but they were not aligned well enough to support fast lifecycle decisions.
The goal was not another report. It was a layer that made activation, conversion, expansion, and retention work easier to operate.
I helped reconcile the systems into one reporting layer, supported cohort-based segmentation, and made the output useful for nurture, expansion, and follow-up decisions.
Manual reporting dropped by 72 hours per week, the broader work delivered 3x ROI in a quarter, and leadership had one view across four products.