Numbers you can verify.
Every result shown here is drawn from actual client engagements. We do not fabricate benchmarks or show cherry-picked outliers — these represent the range of outcomes our system produces.
Apparel brand scales from $3.2M to $9.1M in 14 months
ROAS had plateaued at 2.1× for two consecutive quarters despite increasing ad spend. Attribution was unreliable — the brand was flying blind on which channels were actually driving revenue.
Home goods DTC recovers from iOS 14 attribution collapse
Post-iOS 14, the brand was reporting ROAS of 4.8× in platform dashboards but actual blended revenue indicated it was closer to 1.9×. Scaling decisions were being made on fictional data.
Personal injury firm triples qualified lead volume in 5 months
A PI firm in a major metro was spending $22,000/mo on Google Ads with an average CPL of $490. Most leads were unqualified. The firm had no review strategy and ranked 8th in the local map pack.
Med spa dominates local market across 3 service lines
A multi-location med spa was running fragmented campaigns across three locations with no unified tracking, no reputation program, and inconsistent messaging. Cost per booked appointment was $320.