Fewer industries, sharper targeting, conversion proven by tests
Sayduck sold into many industries, and a small team could not serve them all properly. Effort was spread thin, so nothing could be tested with confidence, and part of the marketing budget was not earning its place.
I used CRM and product data to find the industries that converted best and stayed longest, then focused the team on them. I ran structured A/B tests across paid channels and cut waste from the spend, which freed budget for the team.
Sayduck is a 3D and augmented reality platform that lets eCommerce brands, mostly in furniture and home, show their products interactively online.
Too many industries for a small team
Sayduck sold into many industries, and the marketing team was small. With effort spread so thin there was no clean way to learn what worked, and part of the budget went to spend that was not paying off.
Follow the data, then test it
I started with the data, not opinions. CRM and product data showed which industries converted best and stayed longest. Customer interviews explained why: these industries often already had basic 3D models, so they could start using the product without Sayduck's modeling team and understood its value right away. I focused the team on them and tested messaging, visuals and audiences against each other.
A measured lift in conversion
Focus and winning variants lifted conversion, and a leaner budget gave the team more room to work.
Targeting the industries most likely to convert, then keeping only the winning versions of copy, visuals and audiences.
Want results like these?
Visitors into demos: the whole funnel rebuilt
+50%Increase in returning visitorsAI B2B SaaS Scaleup / HelsinkiContent and site rebuilt to earn search authority
+32%domain authority (in just 3 months)