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Personably · Research & Learnings

What we are testing and learning

Personably is in open beta. This page shows what we are measuring, modeling, and building toward, shared in the open so founders can follow the thinking as we onboard the first stores.

Welcome-flow personalization lift by shopper intent

Building measurement

Early models suggest that branching welcome flows by visible shopping intent (researcher vs. impulse buyer) can lift revenue-per-recipient by 10–25% in conservative scenarios. We are running holdout-based measurements to validate this before publishing any merchant-facing numbers.

Unit economics of a Klaviyo-native personalization layer

Modeled · June 2026

Modeled gross margins at $199 Growth and $299 Pro across 10–50 customers. The expanded stack stays favorable as long as Personably remains an assembly-and-automation layer over Shopify + Klaviyo rather than a live per-recipient LLM sender.

First-purchase to second-purchase timing by category

Pipeline · needs Shopify approval

Product-level and category-level purchase-gap medians vary meaningfully. Replenishment windows that use the specific product the customer bought outperform global median timing. Shopify read_all_orders approval is the external dependency.

Consent-aware pixel performance on Shopify

Verified · sandboxed

Shopify's Web Pixel sandbox allows behavioral collection with zero storefront performance impact. Consent API integration means GDPR regions get explicit opt-in before any data collection. Privacy webhooks handle data access and erasure requests.

Answer-engine visibility for Shopify app categories

Tracking

Early tracking of how ChatGPT, Claude, and Perplexity describe Shopify app categories. Structured content and question-driven publishing show early citation signals. Full AEO study in progress.

These are early research notes, not product claims.

Every merchant-facing number will be backed by holdout measurement before it ships. That is the standard.