Your Audience.
Every Channel.
Zero Waste.

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Overview

Most ad platforms measure impressions. Footprints AI measures outcomes.

From the moment a shopper sees or hears your ad to the moment they check out, we capture every signal, online and in-store, and tie it directly to sales, leads, or brand impact.

Why This Matters for Brands

  • No black boxes. No estimations. You see exactly what worked, where, when, and for whom.
  • Every campaign is measured at the SKU level, store level, and audience level.
  • Results are verified with real receipts, real visits, and real conversions not modeled panels or third-party tools.

What’s Measured

  • Sales Lift Attribution

Know how much each campaign moved the needle at SKU and category level.

  • Lead Conversion

Track each lead from impression to CRM to sale.

  • Media Engagement

Exposure, attention time, in-store and online browsing patterns.

  • Omnichannel Impact

One dashboard showing what worked across screens, radio, app, site, social, direct, DOOH and CTV.

Built for Retail Media

Most platforms measure clicks. We measure:

  • Basket incidence
  • Basket value changes
  • RFM (recency-frequency-monetary value) shifts
  • Category penetration
  • SKU-level velocity over time

With Footprints AI, you don’t just track ads. You track the full effect of your brand across a retail network.

Fully Integrated. Fully Transparent

  • Always-on dashboards built into the platform
  • Live reporting during campaign execution
  • Forecasting and benchmarking tools included
  • GDPR-compliant, with retailer-controlled infrastructure

Let Us Show You What Your Media is Actually Delivering

Get Measurement Demo

Retail Sales Insights

Campaign Reporting Built for Endemic Brands. And Built for Sales.

Retail Sales Insights is not just reporting. It's the most advanced retail media performance intelligence system designed for endemic brands using Footprints Al to run Boost Sales campaigns.

It shows what actually changed in the market as you run your retail media campaigns with Footprints Ali what was sold, to whom, where, when, and why. All measured in real stores and online, against real receipts, in real time.

This is your source of truth for measuring the real impact of retail media on sales. Every campaign comes with a Retail Sales Insights dashboard at no extra cost, no guesswork.

What Retail Sales Insights Dashboards Deliver

  • SKU-Level Lift

Track incremental units sold by SKU, store, audience segment & shopping occasion

  • Basket Composition

Reveal what shoppers buy with your products (halo, attach, up-sell)

  • Category Dynamics

See how your brand’s share shifts versus the category day over day, week over week

  • Shopper Segments

Measure sales by Life Stage, Mission, Region, Value Tier

  • Sales Heatmaps

Identify where campaigns perform best (by format, day time, or geography)

  • Mission-Based Funnels

Understand how different shopping missions convert into sales

Built for Boost Sales Campaigns

Footprints Al connects media delivery to real in-store & online behavior. That means:

  • Every screen, app, radio, or display that carried your message is tied to what happened in baskets after exposure
  • Results are shown live, with a clear line from creative → audience → store → checkout
  • Live forecasting tools to stimulate attribution and retail media during campaign optimizations

From campaign launch to sales uplift, it's all visible and built into every Boost Sales plan.

Why Brand Managers Use It

  • Diagnose why performance varies by store, audience, or channel
  • Optimize retail media campaigns mid-flight
  • Build more campaigns based on what your top shoppers are already doing
  • Track real sales metrics, not vanity or proxy KPIs
  • Present executive-ready results to commercial and sales teams

Sales Forecasting

Know What You’ll Sell Before You Spend.

We simulate how specific audiences, exposed through specific channels, in specific store formats, are likely to react, before a single euro is spent on retail media.

Footprints AI doesn’t just show you what happened. It tells you what’s likely to happen next with sales projections based on actual behavior, not estimates.

Footprints AI’s forecasts are built on

Real shoppers

Real stores

Real SKU-level behavior

Sales Forecasting is built directly into every Boost Sales campaign, enabling brands to plan media with precision, confidence, and accountability.

Powered by Proprietary Demand & Behavioral AI

Our system uses:

  • Over 3Bn. shopping missions
  • Time-of-day and day-of-week shopping patterns at store & community level
  • Product velocity per store per week
  • Real purchase intent signals from past transactions
  • Category, product & brand affinity models
  • Environmental factors like weather, traffic, events, celebrations and socio-economics at community level

This isn’t modeled behavior. It’s actual, statistically inferred behavior at scale.

Why Brands Use It

  • Launch campaigns with incremental ROAS projections already in hand
  • Decide where to spend and how much
  • Align internal commercial targets with expected media investment
  • Test multiple scenarios before activating a campaign
Retail Media campaigns using sales forecasts outperform by 45% on average

Media Delivery & Exposure Reporting

Know What Ran. Where. When. And to Whom.

Footprints AI delivers campaigns across every touchpoint: in-store screens, in-store radio, retailer apps, websites, banners, notifications, direct comms, social, CTV, and DOOH. Our proprietary and next-gen media delivery and exposure reporting answers the first essential question in campaign measurement like no other retail media platform can: “Was my media actually delivered and seen by the right people?”

Metric
What It Tells Brands
  • Delivered Impressions

Confirmed creatives displayed across all formats

  • Verified Reach

Unique shoppers reached, deduplicated across all channels

  • Ad Viewability

Confirmed on-screen visibility and screen interaction

  • Audio Exposure

Exposure rate during target time windows

  • Capture Rate

Match rate between media exposure and intended audience

From retail media launch time to wrap-up, this is the live pulse of your campaign. It’s used by brands to validate delivery, detect drop-off, optimize pacing, and prove value. Channel by channel, screen by screen and second by second.

What Makes It Different

Most platforms stop at served impressions. Footprints AI verifies exposure using real-world attention signals

  • Deduplicates across all media, so 1 shopper = 1 reach count
  • Links media to real people, not just devices or cookies
  • Tracks attention and engagement, not just delivery
  • Correlates exposure with visit behavior, time-of-day, and store traffic
  • Enables pacing optimization, based on real shopper presence, media relevance, product availability, and predicted visit patterns at store level
Channel
What We Track
  • In-Store Screens

Proximity-based delivery, attention & exposure time, SKU sales correlation

  • In-Store Audio

Delivery slots matched to foot traffic, exposure time & capture rate

  • Retailer App & Website

Banner impressions, product page visits, click-through, add-to-cart

  • Off-Site (Social, CTV, DOOH, Programmatic)

Viewability, engagement rates, store visit post-exposure

  • Direct Comms (SMS, WhatsApp, Email)

Message delivery, open rates, CTRs, store visit post-click

How Brands Use It

  • Validate that campaigns were actually delivered to the right audience
  • Compare formats & channels (e.g., in-store vs. on-site vs. off-site) based on real engagement
  • Prove ROAS per channel to internal teams and agency partners
  • Optimize future media mixes using verified impact patterns
  • Understand how channel mix, pacing and timing can be synchronized across the full shopper journey
  • Conduct audits for compliance and investment accountability

Lead Management

Turn Real-Life Shoppers into Qualified, Conversion-Ready Leads.

Footprints Al turns shopping behavior into high-quality leads, with more precision, better targeting, and higher return for both non-endemic and endemic brands.

Audiences for Generate Leads campaigns are pre-qualified using real shopping behavior, including life stage, household lifestyle, and individual propensity to buy services like insurance, banking, telco, education, automotive, travel, or health.

For endemic brands, it's the most efficient way to drive loyalty program sign-ups, launch product trials, or activate instore competitions using behavior-based triggers to acquire the right shoppers, faster.

Every lead is automatically scored based on its conversion likelihood and either pushed to your CRM or managed directly within Footprints Al, ready for activation.

What We Track
What This Tells You
  • Leads Captured

Number of valid and verified contacts collected

  • Cost per Lead (CPL)

Media cost divided by successful lead submissions

  • Conversion Rate

% of leads that took follow-up action (e.g., sign-up, test drive, order)

  • Lead Quality Score

Based on behavioral fit and likelihood to convert

  • Time to Lead

From ad exposure to lead submission

This capability is designed for any brand that depends on acquisition over direct sale: telco plans, credit cards, loyalty programs, test drives, sampling, insurance, education, health & wellness. Even DTC.

What Makes It Different

Unlike Meta or Google, Footprints AI knows who’s already shopping, where they go, and what they’re buying. This means:

  • High accuracy targeting & high personalization opportunities for media strategy
  • No wasted leads from disinterested scrollers
  • Pre-built audiences by life stage, lifestyle, and location
  • Higher accuracy from retail ecosystem data, not just web behavior
  • Fully GDPR-compliant collection via first-party opt-ins and platform-native formats
  • CRM integration or native Footprints Al lead management — with funnel tracking

How Lead Ads Work Inside the Platform

1

Audience Targeting

Target based on past purchases, socio-economics, life stage, lifestyle, propensity to buy or disposable income.

2

Creative & Format

Use dynamic forms embedded directly into ad creatives and optimized for each channel.

3

Channel Delivery

Deliver across app, web, in-store screens (QR-enabled), WhatsApp, SMS, and email.

4

Sync or Manage

Leads are pushed to your CRM (Salesforce, HubSpot, etc.) or managed and activated within
Footprints Al.

Use Cases

  • Loyalty Program Sign-ups
  • Insurance Quote Requests
  • Bank Account or Credit Card Leads
  • Auto Test Drive Bookings
  • Free Trial or Subscription Campaigns
  • Booking & Appointment Forms
  • Sampling, Giveaways, Vouchers

Campaign Reporting

One Dashboard. Every Retail Media Channel, Fully Tracked.

Footprints AI delivers full campaign transparency, in real time, across every format and channel: from awareness to leads to in-store sales. Whether you’re driving reach, conversion, or shopper action, every KPI is tracked and visualized, updated live.

Built to match retail outcomes, not just digital ad clicks. No fragmented data. Everything in one place.

What’s Included in Every Campaign Report

1. Reach

Total number of unique shoppers exposed across all channels

2. Impressions

Total number of times shoppers were exposed to your ad was across screens, radio, app, web, direct and third-party media

3. Actions

Channel-specific and goal-specific engagement metrics: clicks, app opens, QR scans, store visits, add-to-cart events, form fills

4. Audience Insights

Breakdown by socio-demographics, life stage, value segment, location, mission type, purchases and affinities

5. Sales Volume (Boost Sales only)

Number of incremental units sold across targeted SKUs and stores

6. Sales Value (Boost Sales only)

Attributed revenue generated by the campaign, store-by-store, SKU-by-SKU

7. Location Insights

Geo-level breakdown of media delivery, engagement, audience size, and conversions

8. Advanced Retail Sales Insights (Boost Sales only)

Advanced sales insights driven by retail media per audience, brand, SKU, basket and store.

How It Works

  • Omnichannel Integration: Data flows in from all media touchpoints: screens, radio, apps, web, loyalty, CRM, SoMe, DOOH, programmatic, CTV, Wi-Fi, sensors and POS systems.
  • Behavior-Centric Tracking: Footprints Al tracks shopper behavior across every touch; not just impressions and clicks, but store visits, product engagement, and sales lift.
  • Predictive Benchmarking: Results are compared against pre-campaign forecasts, seasonal trends, and category-specific expectations for true incremental impact.
  • Smart Filtering: Slice by campaign goal, period, channel, media type, product, store, region, audience, day time, or store format.
  • Downloadable Reports: Auto-generated Excel and PowerPoint files with fully editable data visualizations and campaign charts, designed for brand managers, shopper marketers, and agencies.

Sales Lift Attribution

See the True Impact of Every Campaign Measured in Real Sales.

Footprints Al doesn't just report ad metrics. It shows brands how many extra products were sold, where, and because of which campaign.

Our platform uses store-level, SKU-level sales data, combined with advanced attribution models, to prove the direct sales impact of retail media campaigns across online and in-store channels.

Whether you're running a national product launch, a regional push, or a store-level activation, Sales Lift Attribution tells you exactly what your retail media investment changed and why.

What It Measures
What It Tells You
  • Incremental Sales

Number of units sold beyond the forecasted baseline

  • Sales Uplift %

% increase vs. category dynamic, control stores & benchmarks

  • Attributed Sales Value

Revenue generated directly from ad exposure

  • Sales per 1,000 Impressions

A more meaningful outcome metric than just CPM

  • ROAS (Return on Ad Spend)

Sales value divided by media cost

  • iROAS (Incremental ROAS)

The value of extra sales attributed directly to media campaigndivided by media cost

  • SKU-Level Impact‍‍

Performance per product, per store, per audience segment, permission, per basket

How It Works

1

Baseline Forecasting

Before the campaign starts, our AI models predict sales by SKU, store, and category using historical data and seasonality trends.

2

Real-Time Tracking

During the campaign, sales data is captured at transaction level, including SKU, basket, store, time of day, and shopper segment & mission.

3

Attribution Modeling

We apply Shapley Value–based multi-touch attribution, paired with A/B testing and control group comparisons, to determine which sales were truly influenced by media exposure.

4

Media-to-Sales Matching

The platform links every ad impression to real purchase behavior, store by store, SKU by SKU, second by second, measuring actual sales movement.

5

Dashboard Reporting

Results are updated live, with insights by product, region, media channel, store, audience, mission, store format and time window.

When Brand Managers Use Sales Lift Attribution

  • New product launches
  • Shelf takeovers or price promos
  • Seasonal or occasion-based campaigns
  • Regional expansion
  • Competitive share recovery
  • Full-funnel effectiveness validation

Omnichannel Metrics

Track Every Impression, Action, and Conversion Across All Channels, Seamlessly

Footprints AI’s Omnichannel Metrics unify performance reporting across in-store, on-site, and off-site media into one complete view centered around the Digital Twin of the Customer.

Whether you're activating screens in-store, running ads on a mobile app, or promoting a post on Instagram, Footprints AI captures every single data point and reconciles it across channels creating a single source of truth for every shopper exposed to your campaign.

What You’ll See

Each campaign’s metrics are tracked and attributed across:

In-Store

Digital Screens, Radio, POS Displays, Shopping Cart Screens, Wi-Fi portals, Self-Checkout Displays etc.

On-Site

Mobile App, Website, Organic & Direct Traffic

Off-Site

Facebook/Instagram Ads, Social Pages, Google Business Locations, CTV, DOOH, Direct, Programmatic etc.

Core KPIs

  • Reach: Unique shoppers exposed across each channel
  • Impressions: Total ad exposures served
  • Actions: Channel-specific interactions (visits, clicks, scans, store traffic, CRM sign-ups, etc.)

Why It Matters

  1. Holistic Attribution: See which mix of media and touchpoints drive the highest engagement and conversion.
  2. Unified Shopper ID: Everything is reconciled around behavioral profiles and life stage segments, not cookie IDs or disjointed metrics.
  3. Predictive Optimization: Real-time signals feed back into the media engine to dynamically optimize delivery toward high-propensity segments.

Whether your ad is seen on a phone, in a store, or on social, it’s all one shopper, and one unified measurement model.

Retail Analytics

Precision at Store Level. Clarity at SKU Level. Impact at Shopper Level.

Footprints AI’s Retail Analytics delivers the most advanced measurement engine for brands investing in retail media. It powers our measurement and attribution engine to offer second-by-second, shopper-specific insights into how ads influence sales, in every store, at every touchpoint.

This isn’t traffic data. It’s behavioral intelligence, tied directly to transactional outcomes, enabling a level of targeting accuracy and performance visibility that no other retail media platform can offer.

What It Unlocks for Advertisers

1. Store-Level Behavioral Intelligence

  • Every store is mapped with behavioral patterns across days, hours, and shopping missions.
  • Understand when, why, and how specific audiences shop, down to mission type, life stage, or product interest.
  • Boosting sales (in-store promotions, product launches)

2. Real-Time Shopper Mapping

  • Track shopper journeys from entrance to checkout, second by second.
  • Measure media exposure on screens, audio, mobile, or POS, and how it alters behavior in-aisle.
  • Link footfall data with campaign impressions and real-world purchases.

3. Basket-Level Attribution

  • See the exact SKUs added to basket post-exposure.
  • Understand which ads drive incremental sales, and how pricing, packaging, or bundling affect results.
  • Track media-to-basket conversion rate in real time, per store, per shopper, per product.

4. Predictive Targeting Engine

  • Use past behavior to anticipate future purchases.
  • Trigger ads based on propensity to visit, propensity to buy, and hyperlocal environmental context (weather, season, promotions).
  • Activate Dynamic Media Schedules that adapt to store behavior patterns automatically.

Retail Analytics by Footprints AI turns every campaign into a source of competitive advantage. It’s not just about knowing what happened. It’s about predicting what works and scaling it fast.