Zmień swoją sieć detaliczną w biznes medialny na pełną skalę - w sklepie i online

Kampanie

Zmień swoją sieć detaliczną w biznes medialny na pełną skalę - w sklepie i online

Status kampanii

Status kampanii

Dzięki Footprints AI możesz zapewnić reklamodawcom pełny kokpit operacyjny do zarządzania ich kampaniami w sklepach i kanałach internetowych:basket behavior, and shopping missions. Then preview unique shoppers and their profiles before using in your targeting.

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Planer zasięgu kampanii

Define the campaign plan. Control where, when, and who.

Footprints AI pozwala markom dokładnie zrozumieć, co kupują, gdy reklamują się u Ciebie:campaign recipe. Set dates, budget, and pacing. Then apply SKU-, store-, and audience-level rules across in-store and online. Include A/B testing & Control Group capabilities at store level.

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Nowa kampania

Build creatives fast. Publish everywhere, instantly.

Reklamodawcy mogą tworzyć kampanie stworzone dla:Creative Studio or upload your own. Formats and specs are applied per channel, automatically. Publish once across in-store and online.

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Konfiguracja zasobów kreatywnych

Make targeting conditional. Let the store decide.

Footprints AI wspiera pełną elastyczność twórczą: product availability, weather, sales forecast, and predicted shopper behavior. Rules can adapt by store & its surroundings, so ads run only when conditions are right.

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Raportowanie kampanii

Udowodnij wartość swoich mediów detalicznych reklamodawcom, markom i agencjom

Track impressions, reach, actions and audience insights across in-store and online. Break results down by store, device, channel and placement, with export-ready reports for audit and billing.

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Campaign Reporting - Sales Metrics

Prove what changed. Down to SKU and store.

Measure sales uplift vs baseline & forecasts and track impact by SKU, category, and store group. See basket shifts, new-to-brand signals, and attribution, so brands can optimize spend and get incremental impact.

Publiczność

Zarabiaj i poszerzaj swój adresowalny asortyment mediów detalicznych

Zapisani odbiorcy

Pozwól reklamodawcom łatwo tworzyć niestandardowe segmenty

Reklamodawcy mogą tworzyć i zapisywać segmenty o wysokiej wartości w oparciu o:what people buy, who they are, their household structure and how they shop, not cookies. Standardize targeting for every channel, with instant sizing and delivery rules.

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Lookalike Audiences

Clone your best buyers. Scale reach without losing precision.

Start from a seed audience (buyers, high-value shoppers, mission shoppers, or converters). Footprints AI finds statistically similar shoppers using sales, basket, and in-store behavior signals.

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Predictive Audiences

Target who’s most likely to buy next. Act before the decision is made.

Build audiences from Propensity-to-Buy and Propensity-to-Visit predictions at shopper and store level. Activate them with dynamic rules: traffic forecast, weather, product availability, and store conditions.

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Shopper Data & Identity

Identity that makes retail ads measurable. One shopper profile, in-store & online.

Connect fragmented identifiers into one shopper record, enriched with baskets, category habits, and visits. Use it for predictive targeting, omnichannel frequency control, and SKU-level uplift, store by store.

Sales & Shopper Insights

Shopper Profiles

Know who buys. Built from baskets, visits, and missions.

A clear snapshot of shopper behavior: what they buy, how often they return, and what drives the trip. Break down by store, city, daypart, and category to plan smarter audiences and measure impact.

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Basket Insights

See what people buy together. Find the products that drive the basket.

Break down basket composition by brand and SKU: share of basket, average spend and repeat frequency. Identify your high-value baskets, the SKUs that drive them, and where you win or lose, store by store.

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Basket Incidence

Know your true penetration. How often you make the basket.

Track how frequently your brand or SKU appears in baskets. Compare incidence vs category benchmarks to spot where you’re under-indexing, then target the shoppers and moments that lift penetration.

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Predictive Basket Mix

Predict how SKUs move together. Plan the next basket mix.

Model SKU-to-SKU influence: which items act as anchors, which follow, and which get displaced. Use it to choose the right SKU combinations for targeting and promos.

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Sales Performance

See what sold, where, and why. Down to SKU and store.

Track sales by brand and SKU across stores: value, units, growth, and share. Spot the stores, dayparts, and missions driving performance, and use the drivers to plan smarter and attribute retail media impact.

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Loyalty Segments (RFM)

Know who buys you most. And who you’re losing.

Segment shoppers by Recency, Frequency, and Monetary value to see loyalty at brand and SKU level. Find Champions, Loyal, New, At-Risk, and Lapsed shoppers. Then target each group with the right offer, timing, and channel to increase repeat and basket value.

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Customer Satisfaction (NPS)

Measure experience, not assumptions. Fix what blocks repeat sales.

Track NPS by store, location group, and time to see where satisfaction drops and why. Link feedback to what shoppers did. Then activate recovery messages and loyalty incentives to protect retention.

In-Store Measurement

Live In-Store Shoppers

See who is in the store, right now. Trigger media by real presence.

Live view of in-store audience presence & behavior by store and zone. Use it to prove ad exposure, sales conversions, control delivery by store, device, and time, and react instantly when traffic spikes or drops.

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In-Store Shopper Profiles

Know who shops each store. Plan targeting with real behavior.

Store-by-store view of who visits, how often, their missions, category habits, and purchase signals. Turn this into precise in-store targeting and smarter incentives, based on what actually happens in that location.

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In-Store Shopper Behaviors

Know what happens before the checkout. Turn behavior into retail media proof.

See where shoppers go, where they stop, and how long they stay—by store, zone, and hour. Use it to choose the right placements, set frequency with confidence, and prove real shopper presence, not just ad plays.

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In-Store Traffic Flow

See where shoppers actually move. Turn paths into better media decisions.

Understand how traffic flows between store areas, what zones shoppers visit, in what order, and at what times. Use it to place ads where attention happens, bundle zones into premium placements, and connect exposure to the path-to-purchase. Store by store.

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In-Store Traffic Forecast

Predict store traffic before it happens. Plan campaigns. Protect performance.

Forecast expected shopper volume by store, day, and hour. Use it to schedule campaigns into peak moments, avoid wasted impressions in low-traffic windows, and keep delivery stable when traffic shifts.

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In-Store Behavioral Segments

See store engagement, not just traffic. Target incentives by visit quality.

It shows which stores attract quick passers, deep browsers, and repeat loyalists, so you can choose the right in-store message, set the right pressure, and prove impact beyond “impressions played.”

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Store Catchment Insights  

Know who lives around each store. Predict what they want next.

Maps each store’s catchment into a real buyer universe (size, life stages, and local demand signals) so targeting and offers stay store-by-store, inside the trade area.

Leads

Leads Management

Turn lead ads into real demand. Manage, qualify, and convert on-platform.

Collect every lead from Generate Leads campaigns in one place. Engage via video, audio, or text, then automate follow-ups and qualification. Convert on-platform, or sync to the brand’s CRM.

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Funnel

See where leads drop. Know what each stage costs.

Track every step from new lead to won. Compare conversion rates, speed, and cost per stage (CPL, cost per qualified, cost per won) by source, campaign, and sales rep, so you can cut waste and scale what converts.

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Team Performance

See who converts. Fix the bottleneck fast.

Compare results by sales rep, source, and campaign: lead volume, response speed, qualification rate, win rate, and cost per won. Spot what’s working, coach what’s not, and scale the reps that deliver profitable pipeline.