Triple Whale shows you data.
Cresva acts on it.
One shows you the fire. The other puts it out while you sleep.
The Core Difference
Dashboard vs. Agent Architecture
Not about features. Fundamentally different approaches to marketing intelligence.
Dashboard-first
Unified Dashboard
A single view of your data. You look, interpret, decide, and act manually in Ads Manager.
Best for
Teams wanting cleaner data views than native Ads Manager.
Agent-first
Multi-Agent System
Seven AI agents that fetch, analyze, forecast, and deliver. They work while you sleep.
Best for
Teams who've outgrown dashboards. Agencies. Marketers who'd rather approve than hunt.
By The Numbers
The Gap in Action
When CAC spikes at 2am
CresvaTriple Whale7+ hours of inflated CAC before manual detection
Real Scenarios
Same Situation. Different Tuesday.
Real scenarios. No hypotheticals. Watch how the same day plays out differently.
You notice it in your morning dashboard check
Maybe. If you remember to look at that specific view
You export to Sheets, dig through campaigns manually
Form a hypothesis, test it
Hours later, you've identified the issue
3+ hours spent. Revenue lost overnight.
At 6:47am, anomaly detection flags the spike
Parker identifies iOS audience segment as driver
Sam matches to similar pattern from last month
Dex sends Slack: 'CAC up 41%. Shift 20% to lookalikes?'
One click to apply the playbook
Action taken before you wake up.
On Forecasting
Historical Data vs. Actual Predictions
Triple Whale shows you historical charts. Cresva tells you what happens next, with confidence intervals you can actually commit to.
Why this matters: "I think around 2.3x" vs "2.1-2.4x at 80% confidence". One is a guess. One is a commitment.
Triple Whale
- •Historical charts and trends
- •Export to Sheets for manual forecasting
- •You build the model (or guess)
- •No confidence intervals
Cresva
- Prophet/ARIMA models per entity
- CI bands (know your uncertainty)
- Driver annotations (why up/down)
- Constraint-aware (CAC caps, ROAS floors)
- Auto-delivered to Sheets + Slack
Feature Comparison
The Honest Comparison
| Capability | Triple Whale | Cresva |
|---|---|---|
| Attribution | Pixel-based, multi-touch | Pixel-based + incrementality correction |
| Data freshness | Near real-time | Near real-time + proactive alerts |
| Forecasting | Manual (export to Sheets) | Automated with CI bands |
| Anomaly detection | Basic alerts | z-score detection + driver ID |
| Actions | View only, act in Ads Manager | Dry-run playbooks, one-click apply |
| Delivery | Dashboard + email | Slack, Sheets, Slides, PDF |
| Multi-brand | Separate logins | Unified agency dashboard |
| Memory | Session-based | Infinite, constraints remembered forever |
| Best for | Single brand, dashboard-first | Multi-brand, action-first |
When Triple Whale Is The Right Choice
We're not for everyone. Here's an honest assessment of when each platform fits better.
- →You want a cleaner view of data you already know how to interpret
- →Your team enjoys building reports manually
- →You're a single brand with straightforward needs
- →You prefer established tools over newer approaches
- →You don't need forecasting or proactive alerts
- You want decisions, not just data
- You manage multiple brands or work at an agency
- You'd rather approve recommendations than hunt for insights
- You need forecasts you can actually commit to
- You want AI that learns your constraints and remembers them