Unlike traditional apps that give a single output, this AI-powered app presents three distinct scenarios: conservative, balanced, and aggressive. This reflects real-world uncertainty and allows you to compare outcomes side by side:
By comparing these scenarios, you can spot the trade-offs between growth and efficiency, and select the plan best aligned with your business objectives.
Benchmarks act as a reality check against your AI-generated forecasts. While this tool adapts to your funnel and channel data, comparing with sector norms helps you see if your outcomes are over- or under-shooting.
| Metric | Typical BFSI Range |
| Conversion Funnel (Visit → Customer) | 0.5% – 2% |
| Target CAC | ₹2,000 – ₹5,000 |
| Payback Period | 0–3 months |
| Gross Margin | 30% – 70% |
Note: BFSI sub-verticals (e.g., lending, insurance, payments) often vary widely. The AI model accounts for channel saturation and adstock, ensuring results are sharper than static benchmarks.
Example 1 – Balanced Plan
Example 2 – Conservative Plan
Example 3 – Aggressive Plan
AI-powered forecasting is only as strong as how you apply it. To maximize value:
Business Impact: Teams using this AI-driven approach reduce wasted spend, accelerate payback periods, and gain cross-functional buy-in, moving from intuition-led marketing to precision growth planning.

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Fintech and BFSI marketers who manage multi-channel budgets and want to forecast ROI more accurately.
It utilizes adstock and saturation models to simulate channel performance, taking into account budget allocation and conversion rates.
Yes, all channel priors are editable. You can experiment with different allocations to see the impact.
The app offers conservative, balanced, and aggressive strategies—each showing customer, CAC, and revenue outcomes.
Yes. Monthly SEO conversions can be added, and these are included in the demand forecast.
We recommend running it before each budget cycle (monthly or quarterly) to adapt to new funnel data.
No. Forecasts are estimates based on inputs. Actual results will vary depending on market conditions and execution.