211 unique leadsAutomotive services franchise
Case study · OaklyStore
OaklyStore UK: 800% ROAS and +65% conversions from Google and Meta Ads
OaklyStore.com is a premium furniture shop in the United Kingdom. By optimising its Google Ads and Meta Ads we reached a ROAS of 800%, meaning £8 of revenue for every £1 spent on advertising, and grew the number of conversions by 65%.
Google AdsGoogle ShoppingMeta AdsUnited Kingdom
800%
ROAS
+65%
Growth in the number of conversions
- Client
- OaklyStore
- Industry
- Premium furniture ecommerce
- Market
- United Kingdom
- Channels
- Google Ads, Google Shopping, Meta Ads
The client and the goal
OaklyStore is a British online shop selling premium furniture. It sells in the United Kingdom, in an industry with high competition.
The client wanted to grow sales without raising the advertising budget. That meant getting more revenue from every pound already being spent. We worked on Google Ads and Meta Ads for the shop; the description of the work below covers the Google Ads side.
The challenge: how to scale furniture sales in a competitive market
High competition and expensive campaigns made it hard to reach a satisfactory return on ad spend (ROAS).
The client wanted to increase sales without raising the advertising budget.
What we did: optimising Google Ads
We worked on four areas.
A/B tests in Google Ads
We tested which ad messages convert best.
Product feed optimisation
We improved the product descriptions and images used in Google Shopping.
Dynamic remarketing
We reached users who had viewed products but had not bought, with remarketing.
Campaign segmentation
We split the campaigns into product groups and seasonal offers.
Results
800%
ROAS: every £1 spent on advertising brought £8 of revenue
+65%
Growth in the number of conversions
The results: high ROAS and more sales without raising costs
ROAS of 800%. Every £1 spent on advertising brought £8 of revenue.
+65% growth in the number of conversions. The ads became more effective and the remarketing more precise.
Lower cost per click in Google Ads. The product campaigns became more efficient.
The original case study does not publish a measurement period, the advertising budget or the cost-per-click values, so we report only the figures it states.
Expert comment
The furniture industry needs a strategy built on precise targeting. Optimising Google Ads is the key to success.
What this means for other ecommerce brands
The pattern here is not specific to furniture. When a market is crowded and clicks are expensive, the gains come from a cleaner product feed, clearer ad messages, a second chance for visitors who left, and campaigns structured around how people actually shop.
If you sell online and want to know where your own account can improve, read about Google Ads for ecommerce or ask for a free Google Ads audit.
Glossary
The terms used in this case study.
Google Shopping
Product ads in Google that show the image, price and shop name, built from your product feed.
Dynamic remarketing
Ads that show people the products they have already viewed on your website.
A/B test
A comparison of two versions of the same element, such as an ad message, to see which one performs better.
Campaign segmentation
Splitting campaigns into groups, for example by product group or season, to control each one separately.
ROAS
Return on ad spend: the revenue generated per unit of currency spent on ads. A ROAS of 800% means £8 of revenue for every £1 spent.
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