Know Which Channels Actually Sell Your Sofas, Not Just Which Ones Get Credit
Furniture and home goods purchases get researched across a dozen touchpoints before anyone clicks buy. ELIYA measures what actually drove the sale, then tells you exactly where your next euro should go.
20%
of ad budget in this category is typically wasted on channels already past saturation, invisible until a Marketing Mix Model makes it visible.
5-15%
additional revenue growth is typically unlocked once that wasted spend gets redirected to what’s actually working.
A patio set or a sectional isn’t an impulse buy. Someone sees it on Instagram, searches it on Google, compares it on Pinterest, maybe visits a showroom, and converts through retargeting two weeks later. Platform dashboards give retargeting the credit and starve the channels that actually started the journey. ELIYA builds a Marketing Mix Model of your full funnel, runs incrementality tests to confirm what’s causal, and turns the result into a specific budget plan, reviewed by a PhD data scientist before you act on it.
Considered Purchases Break Standard Attribution
Long consideration windows hide where demand actually starts
A big-ticket purchase can take weeks and multiple sessions across devices, so last-click and multi-touch attribution consistently overcredit the channel that closed the sale, usually retargeting, and undercredit the one that opened it.
Measure the Full Path to Purchase, Then Act on It
See the whole funnel, not just the last click
ELIYA’s Marketing Mix Model captures every channel in your mix, on and offline, so discovery channels like paid social and Pinterest get credit for starting a sale that retargeting only closed.
How It Works
From Fragmented Data to a Specific Plan
01
Connect your data
Paid social, search, Pinterest, affiliate, marketplace, and offline data connect into one governed foundation.
02
Measure the real path to purchase
Marketing Mix Modeling and incrementality testing isolate which channels actually cause a sale.
03
Simulate your next move
Ask Analytics Studio what happens if you shift budget ahead of a seasonal peak, and see the projected outcome before you spend.
04
Reviewed by a data scientist, always
Every recommendation is checked before it reaches you. You decide what gets activated.
ELIYA vs. Platform Dashboards for Considered Purchases
| Dimension | ELIYA | Platform Dashboards / Auto-Optimization |
|---|---|---|
| Handles long consideration windows | Yes, models the full journey across channels and time | No, tends to overcredit the closing touchpoint |
| Scope | Full mix: paid social, search, Pinterest, affiliate, marketplace, offline | Confined to a single platform’s walled garden |
| Review | Every output reviewed by a PhD data scientist | Fully automated, no human check |
| Control | You decide what gets acted on | Some tools reallocate budget automatically |
Know Which Channels Actually Sell Your Products
Book a 15-minute discovery call and we’ll walk through what ELIYA could surface from your own data, including where your budget is likely over- or under-credited today.
FAQ
Book a 15-minute discovery call
Pick a time that works — we’ll walk through what ELIYA could surface from your data.
- 15 minutes
- Video call
- Pick a time that works
Get the Furniture & Home Goods Benchmark Report
A short breakdown of where e-commerce furniture and home & garden brands typically lose budget to over-credited channels, and what a measured reallocation tends to unlock. No pitch, just the data.
Download the Report