Why Agents Beat Dashboards
Dashboards report the past. Your AI agents learn from it. The difference? 78% accuracy that never improves vs 91% and climbing.
The Problem
What You're Really Doing All Day
Every ecommerce brand is flying blind. Platforms lie about attribution. Forecasting is guesswork. Decisions are made on gut feel.
Not making decisions. Just preparing to make them. Then hoping the data is right.
The Comparison
Static Reports vs Living Intelligence
The fundamental difference: dashboards show data, agents make decisions.
Frozen in Time
Same reports forever. Week 52 looks like Week 1. 78% accurate in Q1? Still 78% in Q4.
"We spent $180K on Looker. Week 52 looks exactly like Week 1."
Zero Memory
Every question starts from scratch. Tested TikTok in August? Nobody remembers. You repeat the same $10K test in November.
"When our analyst quit, all tribal knowledge walked out the door."
Can't Test Scenarios
Want to know if 70/30 Meta/Google works? Burn $50K to find out. No simulations. Just spend and pray.
"We guessed wrong and wasted $120K on a strategy that never had a chance."
Platform Lies
Meta says 4.2x ROAS. Google says 3.8x. Both inflated. Your dashboard just repeats what platforms tell it.
"Meta claimed 4.2x ROAS. True incremental was 2.7x. Almost tripled budget on lies."
The Unfair Advantage
Data Network Effects That Compound Daily
Every brand using Cresva makes every other brand smarter. When one brand learns creative fatigue hits at Day 47, everyone benefits. When one agency discovers a new targeting strategy, the model learns and applies it across thousands of accounts.
The gap widens every single day.
Accuracy Over Time
Real Results
What This Actually Looks Like
From brands running Cresva for 90+ days
Forecast Accuracy
Felix learns from every forecast. Every miss is analyzed. Every pattern is stored.
See Agents Make Real Decisions
30-min demo. Watch agents remember, test, and answer.
What you'll see in the demo