Premium Furniture Meta Ads

Task: attract targeted applications for a premium furniture store, focusing on the quality of inquiries, high average check, and stable advertising return on investment.

Channel:
- Meta Ads - Instagram/Facebook
- advertising campaigns targeting a premium audience
- testing creatives and offers
- retargeting warm audience
- optimization for applications, sales, and ROI

What has been done:
- tested several audiences and advertising connections to find segments with the best quality inquiries
- focused on the audience already interested in furniture, interior design, renovations, and home purchases
- prepared advertising messages emphasizing quality, design, comfort, availability, purchase conditions, and store advantages
- tested creatives with examples of furniture, interior solutions, advantages, reviews, and visual presentation of the product
- filtered out ineffective segments that generated cheap but weak inquiries
- strengthened connections that brought customers with a higher likelihood of purchase
- set up retargeting for people who interacted with Instagram, viewed products, or already showed interest
- improved the presentation of the offer through clear benefits, conditions, quick processing, and a clear path to consultation
- scaled working campaigns without a drop in the quality of inquiries
- optimized advertising not for the number of applications but for sales and profitability

Result:
- advertising budget: $930
- applications: 310
- CPL: $3
- sales: 17
- CPA: $54.71
- average check: $930
- turnover: $15,810
- ROI: 580%

Brief conclusion:
In the premium furniture niche, the result depends not only on the cost of the application but also on the quality of the audience, the visual presentation of the product, and the properly formulated offer. Meta Ads allowed showcasing furniture through strong visuals, testing different audience segments, and returning warm users through retargeting.

Thanks to audience tests, working with creatives, filtering out weak connections, and optimizing for sales, it was possible to obtain 310 applications, 17 sales, and an ROI of 580%.

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