Category-Level Prediction
Identifies POI categories likely to see significant week-over-week foot-traffic changes. Categories produce earlier, more robust signals than individual locations.
Blackpool predicts category-level demand shifts at physical locations before they appear in traditional reports.
Early access for qualified teams
Identifies POI categories likely to see significant week-over-week foot-traffic changes. Categories produce earlier, more robust signals than individual locations.
Surfaces demand shifts before they show up in standard traffic metrics—giving you a window to act while competitors are still reacting.
Models combine anonymized mobility data with external factors like weather patterns and local events. Privacy-compliant, with no individual tracking.
Miami, December 2025 — holiday prep signals
Signal fired Dec 7
Signal fired Dec 17
Signal fired Dec 10
Lift measured against 7-day baseline, 5-11 days after signal.
Signals translate into earlier decisions on spend, staffing, and site strategy.
Reallocate spend toward categories showing early intent shifts before demand peaks.
Adjust staffing, inventory, and merchandising while competitors are still reacting.
Spot category momentum early to guide partnerships, pricing, and site selection.
Historical data tells you where people went. Blackpool tells you where demand is heading.
By the time traffic changes show up in dashboards, the signal is already priced in. Early detection gives you a window to act—on consumer behavior, media spend, or location investments.
Decision-ready weekly briefs plus monthly performance summaries, translating signals into clear action windows.
Signals exposed through a lightweight API, designed to integrate with existing research workflows and quantitative systems.
Future work includes aggregate next-visit lift and cross-category movement patterns—more ways to measure near-term demand.
Over time, Blackpool becomes a forward-looking signal layer that other teams and systems can build on.
We're onboarding a small group of teams to shape the product. If you work in investment research, real estate analytics, or corporate strategy, we'd like to hear from you.
Questions? contact@blackpool.is