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Marketing Funnel Analyzer
x402
Marketing Funnel Analyzer is a paid API for AI agents from payai.agentstools.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).
Computes per-stage conversion rates, drop-off, loss-rate, overall conversion, bottleneck stage, and per-channel breakdown from ad funnel data
Price / call$0.02
Success—
StatusUnknown
How this service works
Cross-channel conversion funnel over your ad data: per-stage conversion rate, drop-off, loss-rate, overall conversion, the bottleneck stage, and a per-channel breakdown. Pure computation over your inputs.
Output
Returns per-stage conversion rates, drop-off percentages, loss rates, the overall end-to-end conversion rate, the identified bottleneck stage, and a per-channel breakdown of funnel performance — all computed purely from the provided input data.
Example use cases
Multi-channel campaign drop-off analysis
“I have CSV data from my Google, Facebook, and TikTok campaigns with impressions, clicks, and conversions for last month — can you run it through the funnel analyzer and tell me which stage has the biggest drop-off and which channel is performing worst?”
Custom funnel stage conversion audit
“My funnel has four stages: awareness, interest, consideration, and purchase. Here's my data as a CSV — analyze the conversion and loss rate at each stage and tell me where we're losing the most potential customers.”
Overall conversion rate and bottleneck identification
“Can you calculate our overall conversion rate across all channels and flag the single bottleneck stage? I'll paste in the raw TSV with impressions, clicks, and conversions by channel.”
Technical details
Endpoint
POSThttps://payai.agentstools.dev/marketing/funnelWhen to prefer
Choose this endpoint when you have multi-channel ad data and need a fast, structured funnel breakdown with bottleneck identification — particularly when you already have the data as CSV or row objects and want pure computation without any data fetching or third-party integrations. Ideal for agents performing campaign audits or optimization recommendations.
Side effects
- Missing or malformed CSV/TSV with no header row causes parsing failure
- Rows missing required stage count columns result in incomplete computation
- Mismatched stage names between rows and the stages array cause undefined behavior
- Empty input (no rows and no csv) returns an error
- Non-numeric values in stage count fields cause computation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| csv | string | Raw CSV or TSV text with a header row, as an alternative to rows |
| rows | array | Per-channel rows with stage counts (impressions/clicks/conversions or your custom stages) |
| stages | array | Optional ordered stage names for any funnel; default is impressions then clicks then conversions |
Tags
x402
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