Step 1: Indoor Shopping Behavioral Profiling:Footprints AI collects customer behavior data from indoor shopping environments using ambient connectivity and mobile sensors.The collected data is processed using machine learning algorithms and building information mapping to generate indoor paths.The algorithms also create affinity profiling, behavioral clusters, and predictions for individual shoppers.
Step 2: Online Behavioral Profiling: Footprints AI collects user identity and profiling data from all digital channels to create a comprehensive 360-degree shopper profile view.
Step 3: Offline-to-Online Fusion: Footprints AI's proprietary AI technology combines offline and online customer data to create a comprehensive view of customer behavior.
Step 4: Monetization: Retailers can monetize their offline-to-online customer data through retail media.
Step 5: Prediction and Targeting: Retailers can use Footprints AI to predict, target, and sell based on customer behavior, both online and in-store.
- Launch their Retail Media Network with lower costs, faster time to market and increased profits, giving our customers a competitive advantage in the market.
- Generate 10x more profits from retail media, fully scalable and 10x faster.
- Significantly improve the efficiency of their retail media offering towards retail brands and media agencies.
- Know who all their customers are, beyond the 15% that registers their data into apps and loyalty programs, and programmatically discover new communities where to expand.
Improved customer acquisition costs with up to 50%. Driving 5x-8x more efficiency with close-loop ads and just before shopping ad campaigns with short term results and attribution of ad-driven sales.Increase in-store sales with short term ROAS results.
OUR PILOT PROJECT OFFER TO RETAILERS INCLUDE A CO-LAB PROJECT TO ENABLE YOU TO:
- Understand more about your customers beyond their in-app registration and transactions data;
- Predict their omnichannel path to purchase;
- Influence their shopping behavior across the entire path to purchase using Retail Media.
This Pilot project has a 3-month duration and will run in 3 of your business locations.When it comes to business results, we are going for 3 key success metrics: CTR uplift, uplift in visits, uplift in sales.
OFFER DETAILS:
A 3-month pilot project that demonstrates Footprints AI capabilities, with a more collaborative & flexible way to start our collaboration.In this stage we will operate Footprints for 3 stores during a 3-month period of time. Deliverables during these 3 months:
ADVANCED ANALYTICS:
- OFFLINE traffic analysis through behavioral profiling to turn 85% of anonymous traffic into audience profiles that show us WHO THEY ARE, WHAT THEY DO, WHAT THEY WANT, WHAT THEY NEED in the 3 stores.
- ONLINE traffic analysis through behavioral profiling to transform 85% of anonymous traffic into audience profiles that show WHO THEY ARE, WHAT THEY DO, WHAT THEY WANT, WHAT THEY NEED from the 3 shops
- Behavioral analysis, cross-shopping and offline traffic predictionAnalysis of the online search and shopping behavior of the population in the vicinity of the stores
- Analysis of the online search and shopping behavior of the population in the vicinity of the stores
AUDIENCES: Generation of retargetable audiences with advertising or personalized contentPredictive audience generation for:likelihood that these customers will convert into customers (Propensity to Buy) - THE RIGHT CUSTOMERlikelihood that these customers have an affinity with a particular product - THE RIGHT MESSAGEbest media channel to approach them through and the best time - THE RIGHT CHANNEL & THE RIGHT TIMElikelihood that these customers will visit one of the stores specifically (Propensity to Visit) or one of the online conversion channels (web or mobile)
CAMPAIGNS: to use these predictive audiences in digital marketing campaigns (web ads, Emails, SMS, Facebook Ads, Google Ads etc.) by connecting Footprints with your channelsreport real-time results, including the profile of customers who click and convert on campaigns, plus where they are located on the map evaluating results (success metrics):uplift in Clickthrough Rateuplift in trafficuplift in sales (directly related to the product(s) promoted)
OUR PILOT PROJECT OFFER TO RETAILERS INCLUDE A CO-LAB PROJECT TO ENABLE YOU TO:
- Understand more about your customers beyond their in-app registration and transactions data;
- Predict their omnichannel path to purchase;
- Influence their shopping behavior across the entire path to purchase using Retail Media.
This Pilot project has a 3-month duration and will run in 3 of your business locations.When it comes to business results, we are going for 3 key success metrics: CTR uplift, uplift in visits, uplift in sales.
OFFER DETAILS:
A 3-month pilot project that demonstrates Footprints AI capabilities, with a more collaborative & flexible way to start our collaboration.In this stage we will operate Footprints for 3 stores during a 3-month period of time. Deliverables during these 3 months:
ADVANCED ANALYTICS:
- OFFLINE traffic analysis through behavioral profiling to turn 85% of anonymous traffic into audience profiles that show us WHO THEY ARE, WHAT THEY DO, WHAT THEY WANT, WHAT THEY NEED in the 3 stores.
- ONLINE traffic analysis through behavioral profiling to transform 85% of anonymous traffic into audience profiles that show WHO THEY ARE, WHAT THEY DO, WHAT THEY WANT, WHAT THEY NEED from the 3 shops
- Behavioral analysis, cross-shopping and offline traffic predictionAnalysis of the online search and shopping behavior of the population in the vicinity of the stores
- Analysis of the online search and shopping behavior of the population in the vicinity of the stores
AUDIENCES: Generation of retargetable audiences with advertising or personalized contentPredictive audience generation for:likelihood that these customers will convert into customers (Propensity to Buy) - THE RIGHT CUSTOMERlikelihood that these customers have an affinity with a particular product - THE RIGHT MESSAGEbest media channel to approach them through and the best time - THE RIGHT CHANNEL & THE RIGHT TIMElikelihood that these customers will visit one of the stores specifically (Propensity to Visit) or one of the online conversion channels (web or mobile)
CAMPAIGNS: to use these predictive audiences in digital marketing campaigns (web ads, Emails, SMS, Facebook Ads, Google Ads etc.) by connecting Footprints with your channelsreport real-time results, including the profile of customers who click and convert on campaigns, plus where they are located on the map evaluating results (success metrics):uplift in Clickthrough Rateuplift in trafficuplift in sales (directly related to the product(s) promoted)
OUR PILOT PROJECT OFFER TO RETAILERS INCLUDE A CO-LAB PROJECT TO ENABLE YOU TO:
- Understand more about your customers beyond their in-app registration and transactions data;
- Predict their omnichannel path to purchase;
- Influence their shopping behavior across the entire path to purchase using Retail Media.
This Pilot project has a 3-month duration and will run in 3 of your business locations.When it comes to business results, we are going for 3 key success metrics: CTR uplift, uplift in visits, uplift in sales.
OFFER DETAILS:
A 3-month pilot project that demonstrates Footprints AI capabilities, with a more collaborative & flexible way to start our collaboration.In this stage we will operate Footprints for 3 stores during a 3-month period of time. Deliverables during these 3 months:
ADVANCED ANALYTICS:
- OFFLINE traffic analysis through behavioral profiling to turn 85% of anonymous traffic into audience profiles that show us WHO THEY ARE, WHAT THEY DO, WHAT THEY WANT, WHAT THEY NEED in the 3 stores.
- ONLINE traffic analysis through behavioral profiling to transform 85% of anonymous traffic into audience profiles that show WHO THEY ARE, WHAT THEY DO, WHAT THEY WANT, WHAT THEY NEED from the 3 shops
- Behavioral analysis, cross-shopping and offline traffic predictionAnalysis of the online search and shopping behavior of the population in the vicinity of the stores
- Analysis of the online search and shopping behavior of the population in the vicinity of the stores
AUDIENCES: Generation of retargetable audiences with advertising or personalized contentPredictive audience generation for:likelihood that these customers will convert into customers (Propensity to Buy) - THE RIGHT CUSTOMERlikelihood that these customers have an affinity with a particular product - THE RIGHT MESSAGEbest media channel to approach them through and the best time - THE RIGHT CHANNEL & THE RIGHT TIMElikelihood that these customers will visit one of the stores specifically (Propensity to Visit) or one of the online conversion channels (web or mobile)
CAMPAIGNS: to use these predictive audiences in digital marketing campaigns (web ads, Emails, SMS, Facebook Ads, Google Ads etc.) by connecting Footprints with your channelsreport real-time results, including the profile of customers who click and convert on campaigns, plus where they are located on the map evaluating results (success metrics):uplift in Clickthrough Rateuplift in trafficuplift in sales (directly related to the product(s) promoted)
