5 Klaviyo Flows You Can't Build Without Household Data
Five flow patterns, mover welcome, affluence-tiered discounting, property upsizer, family-stage replenishment, VIP seed sync, that are impossible without a household layer.
Why these five
Behavioural triggers (browse, abandon, purchase) tell you what just happened. Household attributes tell you who it just happened to. Together they unlock flows the average D2C brand can't run. Because their stack doesn't see the household layer.
These five aren't theoretical. They're the patterns that show up most often when brands enrich their Klaviyo profiles with Outra. (For the broader segmentation context, see the Klaviyo segmentation guide for D2C brands.)
1. The Mover Welcome Flow
Trigger: Subscribed in last 24h.
Branch on: Move stage = "Just moved" or "Recently Moved".
What changes: hero hook, product recommendation, and offer cadence. Movers are the highest-intent audience in any home-anchored category, see recent movers: the highest-intent audience you're not targeting, and they deserve a different welcome series than someone three years into the same address.
Why you can't build it natively: Klaviyo and Shopify don't know who just moved.
2. Affluence-Tiered Discount Suppression
Trigger: Eligible for discount campaign.
Branch on: Purchasing power band = "High" or "Ultra-High".
What changes: high-affluence households see full-price product launches and limited editions; mid-band households see standard offers; low-band households see entry SKUs and bundles. Same flow, three economic outcomes.
Why you can't build it natively: there's no income or affluence signal in Shopify or Klaviyo's default profile.
3. The Property Upsizer Flow
Trigger: Bought a "starter" SKU 60+ days ago.
Branch on: Property type = "Detached" / "Semi-detached" AND Bedrooms ≥ 3.
What changes: push the upsizer SKU (sectional sofa, king mattress, full dining set) instead of the default replenishment recommendation. Eligibility is geography of the home, not order count.
Why you can't build it natively: Klaviyo doesn't know if your customer lives in a flat or a four-bed semi.
Branch every Klaviyo flow on real household context
Movers, Bigger Families, High Purchasing Power, Owner-Occupied Detached. Outra writes these attributes into your Klaviyo profiles so flows run on who your customer actually is, not just what they did last week.
What Outra knows about every UK household
All attributes and segments are tied to a single identifier: the household, not an email, not a cookie.
- Employment stage
- Move stage
- Age band
- Family stage
- Occupancy status
- Property type
- Bedrooms
- Property size
- Property value band (£)
- Garden
- Garage
- Parking / Driveway
- Area type
- Region
- Purchasing power band
- Household income band
- Credit score band
- UHW (ultra-high wealth)
4. Family-Stage Replenishment
Trigger: 30 days post-purchase of a consumable.
Branch on: Family stage = "Bigger Families" or "Families with pre-school children".
What changes: bigger pack sizes, multi-quantity bundles, family-pricing creative for the matching households. Default replenishment for everyone else.
Why you can't build it natively: Klaviyo can infer family signal weakly from product mix; it can't see family composition directly.
5. VIP Seed Sync to Meta
Trigger: nightly sync.
Branch on: RFM 'Best Customer' AND Purchasing power band = "High"+.
What it does: pushes the resulting Klaviyo segment to Meta as a Custom Audience. The seed for prospecting becomes "your best customers who also live in High Purchasing Power households". A sharper shape than "your best customers" alone.
Why you can't build it natively: the affluence layer doesn't exist in Klaviyo or Meta. (More on the seed-quality argument in household audiences vs lookalike audiences.)
How to ship them
- Enrich Klaviyo profiles. See how to add household intelligence to Klaviyo in 10 minutes
- Build the segments above as standard Klaviyo segment queries
- Branch existing flows on the new properties; don't create duplicate flows
- Measure against the un-branched control for two cycles before scaling
The bottom line
Behavioural Klaviyo gets you to a baseline. Household-aware Klaviyo gets you to flows your competitors literally can't build. Because the data isn't in their stack.
Branch every Klaviyo flow on real household context
Movers, Bigger Families, High Purchasing Power, Owner-Occupied Detached. Outra writes these attributes into your Klaviyo profiles so flows run on who your customer actually is, not just what they did last week.
