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Updated 3 Days Ago
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3 Advocates
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2 Verified Clients
Footprints AI simplifies retail media by connecting digital simplicity with in-store complexity. Through precise targeting, brands can impact shopper decisions both online and offline. The platform ensures crystal-clear sales impact, making retail media as straightforward as buying digital ads, while leveraging real-world shopping behaviors.
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Footprints AI's Website Claims...
Our bot logged these claims from Footprints AI's website.
Advanced AI capabilities
Footprints AI claims that their proprietary AI technology enables them to monetize retail data at scale by leveraging data models, generative AI, and behavioral profiling.
Omnichannel delivery
Footprints AI claims that they offer omnichannel delivery of targeted ads across in-store, on-site, and off-site channels, enabling seamless customer engagement.
Rapid deployment
Footprints AI claims that they can launch a retailer's retail media network in just 3 months, compared to the industry standard of 3 years.
BlurbSTAR Case Study
Footprints AI & First Bank
Footprints AI drastically uplifted First Bank's conversion rates.
37%
Decrease in Conversion Cost
48%
Increase in Conversion Rate
1.
Situation
Mobile App User Drop-off Problem
β
87% of users abandoned onboarding.
β
Conversion rate stuck at 13%.
β
Aimed for enhanced customer experience.
First Bank, a financial institution under J&C Flowers & Co., developed a mobile banking app aiming to enhance flexibility, convenience, and control over customersβ finances. However, despite significant app downloads, they observed a dismal conversion rate. Approximately 87% of users abandoned the onboarding process, leading to a conversion rate of only 13%. This presented a major hurdle for First Bank as conversion rates are critical for ensuring users engage comprehensively with the app.
2.
Task
Improve User Conversion Rates Dramatically
β
Identify drop-off bottlenecks.
β
Boost user action rates.
β
Leverage AI for insights and solutions.
First Bank needed to drastically enhance their appβs conversion rates to align with their goals of offering a substantial user experience and ensuring high-quality financial service reach. The challenge was to identify and correct critical pain points within the user journey that caused potential users to drop off before taking key actions, like signing up or engaging further with the app post-download.
3.
Action
AI-Powered Funnel Optimization Steps
β
Conversion funnel analysis conducted.
β
Implemented retargeting flow automation.
β
Utilized Channel Relevance Score for targeting.
Footprints AI stepped in with an AI-driven technique focusing on conversion rate optimization. This involved a meticulous analysis of the conversion funnel, setting up automated retargeting flows, and engaging in rigorous testing and optimizations. By employing capabilities such as Channel Relevance Score, Footprints AI enabled First Bank to tailor their retargeting campaigns effectively. By aligning user behavior prediction with cross-selling and upselling strategies, users were targeted more accurately and profitably across fitting channels.
4.
Result
Significant Conversion and Cost Improvements
β
48% boost in conversion rates.
β
37% reduction in conversion costs.
β
Enhanced user satisfaction and engagement.
After adopting Footprints AI's solutions, First Bank saw notable enhancements in their appβs performance over a 3-month period. The conversion rate surged by 48%, significantly outperforming previous metrics. Additionally, the cost per conversion saw a substantial decrease of 37%. This translated into higher user satisfaction and successful completion of desired actions within the app, demonstrating not only improved efficiency but also increased profitability.
Keywords
AI CONVERSION OPTIMIZATION
RETARGETING FLOWS
MOBILE BANKING
USER ENGAGEMENT
CONVERSION RATE INCREASE
Data, Analytics and Insights Q & A
Footprints AI hasn't answered their category questions yet.
1.
What types of data and insights does your platform provide (eCommerce, retail, customer behavior, financial, competitive, etc.)?
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2.
How does your platform collect, process, and enrich data, and what sources do you use?
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3.
What level of granularity and segmentation does your platform offer for customer insights?
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4.
How does your solution integrate with our existing tech stack (Shopify, Amazon, POS, CDP, CRM, ERP, Google Analytics, ad platforms, etc.)?
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5.
Does your platform support predictive analytics and AI-driven forecasting for sales, inventory, and customer behavior?
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6.
What reporting and visualization capabilities do you provide (dashboards, real-time analytics, API access, custom reports)?
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7.
Can your platform measure the impact of marketing campaigns and media spend across eCommerce and retail?
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8.
How does your solution handle data privacy, security, and compliance (GDPR, CCPA, SOC 2, HIPAA, etc.)?
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9.
How does your platform support competitive benchmarking and market intelligence?
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10.
Can your platform integrate offline and online sales data for a complete omnichannel view?
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