GMRTS
Growth Loop · Optimize

See the likely outcome first. Let the test confirm it.

Before spend commits, Prediction estimates how a campaign is likely to perform. After launch, automated testing runs the variants, tracks confidence, and promotes the winner, closing the loop back to the radar.

What happens here

Forecast, then test toward the winner.

Prediction models ROI, CTR, CPA, and conversion rate from your connected history and the proposed build. Testing then splits traffic across variants, watches for statistical confidence, and shifts budget to the leader on its own.

  • ROI, CTR, CPA, and conversion forecasts shown before launch
  • Test cells created automatically across creative and audience variants
  • Confidence tracked continuously, no eyeballing the numbers
  • Winners promoted automatically; the result feeds the radar again
Pre-launch forecast
Projected ROAS
3.8×
confidence 76%
Projected CTR
1.9%
confidence 63%
Projected CPA
₹410
confidence 71%
Conv. rate
2.4%
confidence 58%
Worked example

A forecast that testing then proves out.

Signal

Proposed Category B campaign forecasts 3.8× ROAS at 76% confidence before any spend.

Recommendation

Two creative variants launch as test cells; the system tracks confidence and holds budget until it's clear.

Outcome

The stronger hook reaches confidence first, takes the budget automatically, and its lift becomes the next signal.

Pre-launch forecast

Expected ROAS, CTR, CPA, and conversion rate with a confidence level.

Auto test cells

Variants split into test cells without manual campaign duplication.

Confidence tracking

Tests run until results are statistically meaningful, not just early.

Winner promotion

Budget shifts to the leading variant, and the outcome re-enters the loop.