Furniture is bought in weeks, not minutes. The agent keeps the thread.
A sofa takes five visits and two conversations. The agent remembers every one of them, shows the matching pieces, answers the measurements question and follows up without a discount.
- One profile across weeks of visits, before any login
- Orders with a recommended product were 51% larger than ad-only orders
- A chat that answers dimensions, materials and delivery from the catalog
Few orders, long consideration, the set beats the item.
Home shoppers do not convert on the first visit, and most of them never log in. The agent keeps one profile from the first click, so the fourth visit starts where the third ended: the same room, the same color, the pieces that go together.
The basket is where the money is. When a European bedding brand switched Releva off in stages, items per order fell 10% within two weeks, and orders with a recommended product had been 51% larger than ad-only orders. Six weeks later Meta's return was down 34% with the ads unchanged.
Product pages recommend what completes the room, in the same material and color. The chat answers dimensions, materials, assembly and delivery from the catalog and hands over the rest. Follow-ups carry the pieces she looked at and what goes with them, sent when she is likely to return, without discounts.
What the agent did in stores like yours
Each result comes from one store, with its period and method on the page.
Switched off for a test: the basket shrank, then Meta's return
A European bedding brand switched Releva off in stages: −10% items per order within two weeks, −34% Meta ROAS six weeks later with CPM and CTR unchanged.
Read the case study →Kids' fashion and DIY · EUBuyers the agent advises spend 2 to 2.7 times more per order
On the DIY store, advised buyers placed orders 2.7× the average, and orders after a recommendation were nearly 4× the store's average.
Read the case study →Brands that buy on MetaThe half of your ROAS that lives on your site
Make every visit Meta sends worth more, so scaling spend does not shrink baskets.
Read the use case →Four jobs, tuned to home and furniture
Complete the room
Recommendations that match material, color and size across weeks of visits.
Measurements and materials
Answers from the catalog in the shopper's language, with a handover to your team.
Follow-ups with the set
Built per shopper from what she viewed, sent when she is likely to come back.
Audiences that hold the return
Value-based audiences for Meta and Google, with existing customers kept out of retargeting.

See which of last week's visitors you missed
Thirty minutes, with your store and ad accounts open. Then 30 days free. A holdout group decides: if the agent doesn't add orders in 30 days, you don't pay.
Book 30 minutes





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