High-AOV furniture, long consideration, real profit

A BigCommerce furniture brand sold $1,200 average orders after weeks of research. Short attribution and revenue bidding misjudged both timing and margin.

Store
BigCommerce
Ads
Google Ads
Duration
150 days

The challenge

Furniture buyers research for weeks, so short attribution windows undercounted conversions. Meanwhile high AOV masked thin margins after freight and white-glove delivery. Revenue bidding overpaid for browsers and under-credited real buyers.

Approach

  1. Extended attribution windows to match the long consideration cycle.
  2. Mapped freight and delivery costs into per-order profit.
  3. Uploaded contribution-margin conversions to Google Ads.
  4. Separated high-margin decor from thin-margin large furniture.
  5. Used Conservative auto-optimization during long ramp periods.
Performance

POAS over a long attribution window

Profit Bid
Short windows undercount slow furniture buyers. Matching the window to the cycle revealed the true, higher POAS.
  • POAS (account)158%
    +42 pts
  • Tracked conversions+27%
    Longer window
  • Delivery cost leakageContained
    Freight in margin

Results

POAS (account)

116%158%

+42 pts

Tracked conversions

Baseline+27%

Longer window

Delivery cost leakage

HighContained

Freight in margin

Decor share of spend

22%41%

Margin-led shift

Our buyers take a month to decide. Once attribution and margin matched reality, we finally trusted our bidding again.

Amelia K., Marketing director, furniture brand
Pricing

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