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Home & living

A $1,200 sofa takes 4-8 weeks to buy. Attribution that respects the journey.

Platform claims checked against your store's orders, scaling moves priced before they run, and revenue forecast ahead.

Last-click gives 100% to Direct. Parker distributes credit across the full journey.

W1
metaDiscovery
35%
W3
googleResearch
25%
W5
metaRe-engagement
25%
W6
DIRECT · $1,200Purchase
15%
The hidden dependency

→ Cut Meta upper-funnel spend, Google conversions tend to collapse 3 to 5 weeks later. Last-click can't see this dependency.

Last-click sees the final touch. Parker sees the journey. Exact attribution split depends on your category and customer behavior.

Where dashboards break for home & living

Four reasons home math needs a wider window.

High AOV, long research, room-by-room cross-sell, and seasonal moves all break standard click attribution. The mistakes are bigger because the orders are bigger.

Long research kills last-click attribution

Customer sees Instagram in week 1, browses Google in week 3, clicks retargeting in week 5, buys. Last-click gives Google a journey that started on Meta.

High AOV makes every mistake expensive

Average order at $400 to $2,000 means scaling the wrong campaign wastes a week's budget, and retracting takes another week to stabilize CPMs.

Room-by-room cross-sell is invisible

Sofa in week 1, rug in week 6, lighting in month 3. One customer furnishing one room reads as three independent acquisitions.

Move-in spikes are unpredictable

Spring and fall move-in waves are predictable, but local housing patterns aren't. The dashboard catches the demand shift two weeks late.

The four agents

Check the claims. Price the move.

Felix forecasts revenue. Sam prices a scaling move before it runs. Parker reconciles what each platform claims against your store. Maya holds the brand's decisions.

Performance Forecaster

Felix

Forecasts revenue 90 days ahead, retrained nightly. Every prediction is scored against what actually came in, and its ranges are calibrated on that record.

Revenue forecasts scored against actuals.

Media Planner

Sam

Tests a channel budget change against Felix's forecast and your break-even from Max's Profit page before money moves. Every spend increase is checked against that break-even before it runs.

Scaling priced before it moves.

Attribution Analyst

Parker

Reconciles the conversions Meta, Google and TikTok report against the orders your store recorded, so a campaign is judged on the store's numbers rather than the platform's, however long the furniture journey ran.

Platform claims, reconciled.

Account Lead

Maya

Holds the brand's decisions, preferences, goals and constraints, with the reason each was made. Agents read it before they answer or act, and anything an agent proposes waits for an owner to confirm.

Your brand's decisions, remembered.

The other agents fill out the agents. See all of them →.

Targeted by the 7-day pilot

What changes.

Four metrics targeted by the 7-day pilot structure.

Attribution window
Each platform's own window→Checked against store orders

Parker does not lengthen the window. It reconciles what Meta, Google and TikTok claim against your Shopify orders every morning, so a long furniture purchase is judged on orders the store recorded.

Returning customers
Independent orders→By first-order channel

Remy shows which channel's first-time customers order again within 30, 60, 90 and 180 days, from your store's own orders.

High-AOV anomaly detection
Friday review→Next morning

New findings, including Meta spend well off its usual level, reach the 9:00 am Daily briefing.

Seasonal demand
Reactive→Forecast ahead

Felix forecasts revenue 90 days ahead from your own history, refit every night, so a seasonal rise shows in the forecast as your data carries it.

Common questions

Questions home & living teams ask

How does Cresva handle high-AOV attribution?

Not with a longer attribution window. Parker reconciles what Meta, Google and TikTok claim against your Shopify orders every morning, so each campaign is judged on orders the store recorded.

Can Cresva track room-by-room cross-sell?

Not by room. Remy shows which channel's first-time customers order again within 30, 60, 90 and 180 days, from your store's own orders.

How does Cresva handle seasonal furniture demand?

Felix forecasts revenue from your own history, refit every night, so a seasonal rise in your history shows in the forecast. It does not change budgets on its own.

Does Cresva work for made-to-order and long lead times?

Yes. Felix forecasts from your own order history, and Parker judges campaigns on the orders your store recorded rather than on each platform's claim.

How fast can a home brand get started?

Five minutes via OAuth: Shopify, Meta, Google, TikTok. The first sync and backfill start when you connect.

Other solutions

Home & living view not the right fit?

Ready when you are

See platform claims checked against your store.

Pilot connects Shopify and ad platforms in five minutes. First insights once your first sync lands.

Looking for a deep dive? See Felix forecasts →, Parker debiases → or Maya remembers →.