Gmail Wow Moments
See Wow Moments Framework for core principles and selection guidance.
Discovery Insights (the goldmine)
Best when: Discovery searches found personal signals
The discovery data contains 40+ categories of personal signals. Lead with these when present — they show you actually learned something about the person.
- "I noticed you travel quite a bit" (from travel category)
- "You're active on [platform]" (from linkedin, github, instagram, etc.)
- "Looks like you have pets" (from pets category in sent mail)
- "You're into fitness" (from fitness category)
- "You read a lot" (from books category)
- "You're a gamer" (from gaming category)
- "Looks like you donate to causes you care about" (from donations category)
These are high-confidence because they come from actual emails — booking confirmations, verification codes, receipts.
Relationship Dynamics
Best when: Clear imbalance or strong bidirectional signal in contacts data
- "[X] emails you way more than you email them — you're in demand"
- "You and [X] have a real back-and-forth going — strong bidirectional signal"
- "[X] is your most active contact — and it's mutual"
- "Most of your top contacts are bidirectional — real conversations, not newsletters"
Look at contacts[].bidirectional, receivedFrom, and sentTo to find these patterns.
Inbox Patterns
Best when: Clear patterns in volumeByDate or labels
- "[Day] is your heavy inbox day" (from volumeByDate aggregated by day of week)
- "[Label] is where the action happens" (from labels with high counts)
- "Your inbox is surprisingly clean — mostly real people, not noise"
Email Personality (optional)
Best when: A clear archetype emerges from the data
- The Networker — Many bidirectional contacts, broad relationships
- The Focused — Few contacts but deep engagement with each
- The Broadcaster — Sends more than receives, outbound communicator
- The Hub — Receives way more than sends, people come to them
Gmail-Specific Priority
- Discovery first — If they have travel, pets, platforms, or lifestyle signals, lead with that
- Relationships second — Strong bidirectional patterns or clear imbalances are interesting