How to scale Google Ads spend profitably for a furniture store

Furniture is a considered purchase. The figure above is the median Google Ads conversion rate for home and garden brands in Triple Whale's benchmarks: 2.30%, down 4.65% on the previous year. The same brands had a median order value of $129.92 and a median cost per acquisition of $38.94. Shoppers research, measure, compare and come back, and most clicks don't turn into orders. Scaling a furniture store means paying for that research without paying for sales that lose money once they're delivered.

1. Group products by delivery cost band. Put parcel-shipped decor, medium items and freight-delivered furniture in separate campaigns or listing groups, each with its own POAS target. A single target across all three lets the bidding push whatever converts, including the bulky items that cost the most to deliver.

2. Exclude items that ship at a loss. Compare each product's delivery cost with its margin. A low-priced item that needs freight can lose money on every sale. Exclude it from Shopping and Performance Max, or raise its price, or only sell it alongside something larger.

3. Allow for long research cycles. Furniture buyers can take weeks to decide. Set your Google Ads conversion window long enough to capture those sales, and don't judge a campaign on its first few days of results. A campaign that looks weak in week one may be seeding sales that close in week four.

4. Help shoppers picture the item. In Loop's returns data from Shopify merchants, 30% of home goods returns were for style or preference, and Loop suggests room visualisation and true-to-scale imagery to reduce them. Better product pages can cut returns before they happen, which lifts POAS on every campaign pointing to them.

5. Put delivery where ROAS can see it. Charging for freight or two-person delivery on large items, or building it into their price, moves the cost into the order value. The bidding then sees an order that pays for its own delivery instead of one that quietly doesn't.

6. Bring researchers back, not recent buyers. Use Google Ads audience lists to reach shoppers who viewed product pages or started a basket without buying, and exclude customers who have just bought. Someone who bought a sofa last week is unlikely to buy another soon, so most clicks from them are likely wasted spend.

7. Scale on delivered profit, not ordered revenue. Cancellations, damage and returns arrive after the sale. Review campaigns on orders that have been delivered and have passed your return window, and set next month's budget from that figure.

8. Scale in small steps. Raise budgets gradually on campaigns clearing your POAS floor after delivery costs, and give each change time to show results across a full research cycle.

What this looks like month to month

Review POAS by delivery band monthly, on delivered orders. Revisit which products ship at a loss whenever carrier rates change. Move budget toward the bands and products that clear their floor once delivery, damage and returns are counted.

Track the share of each campaign's orders that arrive damaged or come back. A campaign with a high share is either selling products that don't survive delivery or reaching shoppers who weren't sure, and either way its ROAS is overstating what it earns.