Business impact & data deliverables

Why teams use it

• See shifts earlier—lead time is category-dependent (validated in your backtest).

• Make calls with proof from real searches and questions—because nobody lies to their search bar (or their chatbot).

• Plug in fast with ready APIs and flat files—no rebuild of your models.

What you get (monthly feed)

• Real-interest index by market • brand • model/attribute

• Month-over-month change and simple curve tag (seasonal / spike / step-up / decay)

• Coverage across your key markets and segments

• Lineage & versioning for audit and governance

Start yourself (no forms, no wait)

• Sign up → instant 30-day free trial

• Pick your category & markets (e.g., Auto • US/UK/SE/DE/IN)

• Pull the feed into your warehouse or notebook

Where it fits

• Forecasting / FP&A: Cut error and detect demand shifts earlier (lead time is category-dependent).

• Supply Chain / S&OP: Re-plan mix, allocation, and replenishment using early demand signals to reduce stockouts and overstock; move inventory to hot markets/models sooner.

• Category / Merchandising: Set the right model/attribute mix by market; adjust purchase orders and transfers ahead of the curve.

• Marketing: Time media and creative to rising demand; lead with proofs.

ROI (examples):

• Reduce stockouts: EV trims reallocated to “fast-charging” hotspots → stockouts −2–4 pp, sell-through ↑.

• Prove marketing → revenue: Geo-split test shows demand index +15–20% → revenue +3–7%, ROAS +10–20%.

• Lower safety stock & markdowns: Appliances shift based on rising search → safety stock −5–10% (same service level), markdowns −4–8%.

Illustrative only; impact and lead time are category-dependent. Privacy-safe.