In e-commerce, shoppers interact through actions like searching, browsing, adding to the cart, and purchasing. The path to purchase varies with each user. Therefore, e-commerce platforms strive to deeply understand each customer to maximize lifetime value.
Often, today’s platforms will still take a one-size-fits-all approach. Every shopper experiences the same generic recommendations regardless of their unique preferences that evolve over time. This lack of personalization leads to shallow engagement, lower conversions, and missed revenue. It significantly caps customer lifetime value potential. Without the essential tailoring to fit an individual's interests, key opportunities are missed, causing problems for the platform such as:
FirstBatch User Embeddings solve these issues through AI-powered real-time hyper-personalization that enables:
With User Embeddings, platforms can finally deliver on the promise of transformational personalization which was long envisioned but never quite realized - until now. The result is deeper engagement, higher conversion, and maximized lifetime value across the entire customer journey.
Let’s focus on two of the common issues in e-commerce. E-commerce platforms often struggle with two key issues that limit revenue:
Low cross-selling engagement resulting from insufficient personalized recommendations and exploration of new products. This leaves money on the table.
High cart abandonment rates as customers lose interest or get distracted before completing their purchase. Abandoned carts represent lost sales.
Our built-in algorithms help e-commerce sites tackle these problems through better personalization.
The "Discovery Journey" algorithm serves users a progression of random, sampled, and biased batches to balance discovery with personalization.
By gradually personalizing, "Discovery Journey" keeps shoppers engaged across their sessions, resulting in higher cross-selling conversions.
To prevent abandonment proactively, we built an algorithm to keep customers engaged throughout each step while moving them efficiently toward purchase.
With our “Cart Completion” algorithm, you can tailor the experience to each user from their first interaction:
By serving relevance in the moment at each stage, Acme reduced distractions and friction, enabling customers to smoothly complete purchases in a single visit.
With our built-in algorithms tailored to e-commerce, you can boost your KPIs by serving personalized experiences that optimize the shopping journey.