AI that learns your brand. Risk-free scenario testing. Forecasts that sharpen monthly.
You're managing six-figure budgets across Meta, Google, and TikTok. Platforms say everything works. Your P&L disagrees.
Meta says 4.2x. Google says 3.8x. Your P&L shows 2.1x. Platform ROAS is inflated 20-60% from overlapping attribution.
You increase spend 30% and ROAS drops 40%. Without marginal ROAS curves, every scaling decision is a coin flip.
Testing TikTok costs $15-30K for signal. And you won't know if results are incremental or cannibalizing Meta.
A CPM spike on Tuesday becomes $8K wasted by Friday. By the weekly report, the damage is done.
Not a dashboard. AI agents that learn your brand and improve weekly.
The truth-teller. Shows true incremental ROAS across Meta, Google, and TikTok.
Within 60 days, Parker typically reveals 15-35% of attributed conversions were non-incremental.
Revenue and ROAS forecasting that learns your seasonality and campaign dynamics.
After 90 days, Felix predicts revenue within ±8% vs. the ±25-40% variance from spreadsheet models.
Test unlimited budget scenarios with your real data before committing a dollar.
Instead of spending $20K to test TikTok, Sam models likely outcomes from your cross-platform data and learned brand patterns.
Automates reporting and delivery. Catches anomalies in real-time.
Catches performance drops 24-48 hours earlier, saving $3-5K per incident.
Growth teams also get Maya (perfect memory), Dana (unified data), and Olivia (creative intelligence) - meet all 7 agents →
Most tools give the same output on day 1 as day 365. Cresva compounds over time.
Pulls historical data from Meta, Google, TikTok, and Shopify. Establishes your baseline performance patterns.
Identifies your brand's seasonality, audience curves, and channel dynamics. Separates incremental from non-incremental conversions.
Forecasts tighten. Attribution confidence increases. Scenario models reliable enough for real budget decisions.
Every decision teaches the system. Every campaign adds signal. Recommendations converge on your optimal allocation.
What changes when intelligence learns your brand, not just reads your dashboards.
Gut feel + last quarter's spreadsheet. Shift budget reactively after poor results.
Sam models 10 scenarios in minutes. You pick the best one with confidence intervals.
Trust Meta and Google's self-reported numbers. Never sure what's truly incremental.
Parker shows true incrementality. You know exactly which campaigns earn their spend.
Linear projections from last month. ±25-40% variance. Surprised by every spike and dip.
Felix learns your seasonality and audience patterns. ±8% variance after 90 days.
Discover CPM spikes in the Friday report. $5-10K wasted before anyone notices.
Dex alerts you within hours. Catch $3-5K in waste per incident before it compounds.
5+ hours per week pulling data from 4 platforms into Google Sheets.
Dex auto-generates reports to Slack/Sheets. Learns what your leadership team wants.
Based on pilot programs with ecommerce brands spending $50K-$500K/month on ads.
AI agents learn your campaign data to identify truly incremental spend vs. platform-inflated reporting. Test budget scenarios risk-free, with forecasts improving from 78% to 91% accuracy within 90 days.
Platform ROAS is inflated 20-60% from overlapping attribution and self-reporting bias. Parker uses incrementality modeling to show what actually drove conversions vs. organic.
Felix starts at ~78% accuracy, improves to 91% within 90 days, and typically reaches 95%+ within 6 months as it learns your patterns.
Yes. Sam simulates unlimited scenarios with your actual data. Model channel shifts, spend changes, or new platform entry with confidence intervals before committing budget.
Connects to Meta, Google, TikTok, and Shopify in ~5 minutes via OAuth. First insights within 48 hours. No engineering required.
Meta Ads, Google Ads, TikTok Ads, and Shopify. Auto-delivers reports to Slack and Google Sheets. All data unified into one source of truth.
30-min demo with your data. Live.
