Company: IBTA
Filing Date: 2025-02-27
Form Type: 10-K
Source: 0001628280-25-008240
Chunk: 164

Company: Ibotta, Inc.
Filing Date: 2025-02-27
Form: 10-K
Item: Item 1
Chunk 164
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000 online retailers. In addition, consumers can also use our website to set up or log into their accounts, redeem offers, and link their bank accounts and withdraw earnings.

11

Our Technology Platform

Ibotta’s technology platform uses an AI-enabled offer engine that is designed to match and distribute the right offer to the right consumer at the right time. Underpinning our platform is a rich, ever-growing repository of data drawn from our third-party publishers and retailer POS integrations, consumer-provided receipt purchase data, offer selection and redemption data, and inventory data. We built a robust data and AI platform which powers our campaigns and offers, purchases and redemptions, and payments and finance capabilities. We designed our platform to be flexible, with APIs that allow stakeholders of the IPN to seamlessly share and receive critical information securely. CPG brands and publishers can interact on a daily basis with our technology via our carefully designed, easy-to-use portal.

The key components of our platform include:

Purchase data. We receive and process a large amount of item-level consumer purchase data from our third-party publishers and retailer POS integrations and use that data to process offer redemptions and help drive high return on investment outcomes for CPG brands. Purchase data includes the UPC, quantity, and price of the items for a transaction along with the total amount paid, date, time, and store location. The vast majority of our purchase data comes from direct integrations.

Data, analytics, and AI platform. Our cloud-based, data and AI platform is built on an open architecture that enables us to deliver millions of offers from CPG brands in a targeted, personalized way to consumers through our network of publishers. We leverage our unique cross-retailer, omnichannel, item-level purchase dataset to power proprietary AI models that can be used to predict future purchases, campaign performance, offer redemption velocity, and more. We use natural language processing, machine learning, and large language models to clean, categorize, and enhance the purchase data we process and then make it available via our data platform. It is then leveraged to adjudicate offer redemptions and power AI models and analytics across our entire technology stack including recommenders, search engines, audience targeting systems, campaign forecasting, targeted marketing efforts, and more. The more data we accumulate, the better our AI models become. 

At the same time, our proprietary AI offer engine allows our CPG brands to better achieve their goals. We help our clients determine the optimal offer value, offer cadence, offer breadth,