Competitor Inbox doesn't just capture emails — it assembles them into flows. From welcome series to cart abandonment to win-back campaigns, our detection engine clusters emails using 6 weighted signals and classifies them into 16 named flow types. Fully automatic. Zero tagging required.
A single email tells you what a competitor sent. A flow tells you why they sent it, what triggered it, and what comes next. Understanding a competitor's automation strategy — not just their broadcasts — is where the real intelligence lives.
See exactly which lifecycle moments your competitors address — onboarding, recovery, loyalty — and which they're leaving on the table.
Compare how many emails competitors send in each flow type and the timing gaps they use. Refine your own sequences with real market data.
Know exactly what URL patterns, UTM campaigns, and behavioral signals competitors use to route subscribers into specific automations.
Get alerted when a competitor adds a new step to an existing flow, launches a new automation type, or overhauls their welcome series.
Every candidate email cluster is scored across six independent evidence dimensions. Signals are weighted and summed — reaching a confidence threshold triggers flow classification.
Emails in the same sequence share consistent linguistic patterns, sender names, and topic framing. We score cosine similarity across subject lines within a candidate cluster — high similarity is a strong sequence signal.
Automated sequences almost always share the same email template. We compute a structural design hash from each email's layout and compare it across the cluster — a matching hash fingerprint is a reliable automation indicator.
Triggered sequences fire at predictable intervals from a user action (e.g. T+0h, T+24h, T+72h). We measure the median inter-email gap and its variance — low variance, regular cadence = strong automation signal.
URL patterns like /cart, /checkout, /verify, /activate, and UTM parameters like utm_campaign=cart or utm_campaign=onboard are deterministic signals of automation. Each pattern carries a weighted score.
Emails in the same flow almost always share a utm_campaign or utm_medium value (e.g. utm_campaign=welcome-series-2024). UTM consistency across cluster members strongly suggests coordinated automation.
Subject lines and body text are scanned for known flow-type keyword patterns ("cart is waiting"), behavioral follow-up phrases ("last chance", "final reminder", "just following up"), and "Part X of Y" series markers.
Before scoring, the engine groups incoming emails into candidate clusters using subject-line similarity and sender domain. Once a cluster reaches a minimum size (typically 3+ emails), it's scored across all six signals. A total score above the confidence threshold triggers a named flow classification. Flows are continuously monitored — as new emails arrive, existing flows are updated, steps are appended, and reclassification happens automatically if the evidence shifts.
Every detected flow is classified into one of these named types — giving you an instant, structured view of a competitor's full automation strategy.
Onboarding sequences triggered by signup or account creation. Usually 3–7 emails introducing the product, community, or brand.
Automated reminders sent when a shopper adds items but doesn't complete checkout. Often 2–4 emails with escalating urgency.
Triggered when a visitor views a product page without adding to cart. Less urgent than cart flows, often with social proof.
Order confirmations, shipping updates, review requests, and cross-sell sequences sent after a completed transaction.
Timed reminders sent when consumable products are expected to run out, nudging a repeat purchase before the shopper runs dry.
Re-engagement sequences targeting lapsed subscribers or customers who haven't opened, clicked, or purchased in 60–180+ days.
Urgency-driven emails sent in the final days of a free trial, highlighting value and pushing toward a paid conversion.
Sequences designed to get newly registered users to complete a critical action — confirm email, connect an integration, invite a team member.
Double-opt-in and newsletter confirmation sequences verifying subscriber intent and setting expectations for future content.
Pre-event registration confirmations, reminder ladders, and post-webinar replay sequences tied to live training or demos.
Content-driven sequences triggered by downloading a guide, eBook, or tool — designed to warm prospects toward a sales conversation.
High-urgency promotional sequences with hard deadlines. Typically 2–4 emails compressed into 24–72 hours.
Pre-launch anticipation, announcement, and post-launch follow-up emails for new products, features, or collections.
Personalized recommendations and upgrade prompts based on purchase history or current plan — often AI-personalized.
Exclusive rewards, early access, and milestone emails for high-value customers or loyalty program members.
Post-experience feedback requests, NPS surveys, and product review solicitations — usually single-email or two-email flows.
Every detected flow surfaces in your competitor's profile with a complete breakdown.
Detected Flows — Shopify
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