Our clients find high-value cohorts hidden inside average ROAS
Campaignswell connects acquisition, behavior, subscription, payment, and revenue data to show which cohorts build long-term value over time
and where pROAS points to stronger payback
Trusted by leading apps and games
Highcore Games
MemoryOS
AIstats
Global Work AI
Planner 5D
Sprouty
Mobiways
Dialogue
Glam AI
Replika
Dr. Kegel
VPN Lumos
Highcore Games
MemoryOS
AIstats
Global Work AI
Planner 5D
Sprouty
Mobiways
Dialogue
Glam AI
Replika
Dr. Kegel
VPN Lumos
Explore every cohort slice to find hidden LTV pockets
4 ways Campaignswell helps teams
find their most profitable cohorts
Explore cohort economics across geos, campaigns, creatives, and channels
Campaignswell shows revenue, retention, predictive LTV, ROI, and payback, so your team can find where cohort quality is strongest
Sprouty
After implementation, Campaignswell, cohort reports were available instantly — by source, over daily, weekly, and monthly views, and fully connected to revenue and retention.
Find profitable cohorts hidden inside blended performance
Campaignswell shows which cohorts build LTV, return revenue, and reach payback, so teams can look beyond one averaged ROAS or CPA number and find the user groups that actually drive profit
Dialogue AI
Before, we didn’t have real segments, just a general user base. Now we can identify clusters and high-value sub-segments, which gave a major boost to both marketing and product.
Spot profitable cohorts before revenue fully matures
Planner 5D
We can launch a campaign, track cohorts, and understand performance quickly through predictions. If it’s clear the model won’t carry it, we know within a week, long before any revenue appears.
Spot profitable cohorts before revenue fully matures
Lumos VPN
Now we can look at an A/B test and actually see whether it lifted revenue or just shuffled it between placements.
How teams scaled ad spend with Campaignswell
AIstats
Web2Web cohort LTV outpaced previous cohorts by 20–25%
“Before Campaignswell, we were making acquisition decisions mostly around CPA thresholds. When we launched Web2Web, we needed to understand whether those users were actually better, not just cheaper or easier to acquire.
Campaignswell helped us compare the new funnel cohorts with previous ones almost instantly, and we saw that Web2Web LTV outpaced earlier cohorts by 20–25%. That gave us the confidence to keep expanding the channel.”
Campaignswell helped us compare the new funnel cohorts with previous ones almost instantly, and we saw that Web2Web LTV outpaced earlier cohorts by 20–25%. That gave us the confidence to keep expanding the channel.”
Read full case
Dialogue AI
New audience segment → top-three profit branch
“Before, we didn’t have real segments, just a general user base. With cohort analysis, we started seeing clusters of audiences with very different behaviors.
One new segment came in with lower early predicted LTV than our usual cohorts, but deeper analysis showed strong long-term potential. Instead of excluding it, we studied those users, adapted the product and flows, and that cohort became one of our top-three profit branches.”
One new segment came in with lower early predicted LTV than our usual cohorts, but deeper analysis showed strong long-term potential. Instead of excluding it, we studied those users, adapted the product and flows, and that cohort became one of our top-three profit branches.”
Read full case
GlamAI
Web2web grew to 50% of total revenue
in 8 months
“Web-to-web was growing, but we needed to understand which cohorts were actually building long-term value after the first payment.
Once we started looking at predicted LTV by funnel and creative, we saw that paths which looked almost identical on the surface behaved very differently. Some funnels and creatives brought users with much stronger retention and predicted LTV, while others were weaker than early conversion signals suggested. That helped us understand where to push further and where to stop.”
Once we started looking at predicted LTV by funnel and creative, we saw that paths which looked almost identical on the surface behaved very differently. Some funnels and creatives brought users with much stronger retention and predicted LTV, while others were weaker than early conversion signals suggested. That helped us understand where to push further and where to stop.”
Read full case
