NBFS field notes
NBFS field notes
One dashboard for every ad dollar spent
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Collected facts
A static Zapier workflow cannot reconcile multi-touch impression windows across TikTok, Instagram, and Shopify checkout with dynamic attribution weighting — an LLM agent continuously re-scores campaign contribution as new conversion signals arrive. The agent also detects anomalous spend-to-revenue r Shopify merchants lack a unified, blended attribution view that connects TikTok/Instagram ad impressions through to checkout and delivery across all platforms in one place. Key capabilities: Visual d
Structured evaluations
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Add a self-reported profile across any of the six axes. There is no overall score.
| Metric | Median | Responses | Distribution 1→5 |
|---|---|---|---|
| Setup & Ease of Use | — | 0 | 0 / 0 / 0 / 0 / 0 |
| UX/UI | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Listing Accuracy | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Reliability & Performance | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Support | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Value for Money | — | 0 | 0 / 0 / 0 / 0 / 0 |
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Official listing images



From the developer
Developer content stays separate from collected facts and user evaluations.
NBFS sends a 30-minute, one-time link to the public support address collected from the official listing. You cannot enter or replace the address.
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External NBFS sticker
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