Tavola.
#Paid Media · Case Study.
Tavola, a subsidiary of 4Homes is a leading kitchenware and tableware store that curates high-quality brands worldwide. Operating in six GCC countries (UAE, KSA, Kuwait, Oman, Qatar, and Bahrain), www.tavolashop.com provides home chefs and professionals with everything they need to prepare, cook, and serve their dishes.
What Our Partners Have to Say About Us
“Working with HOP has been fruitful for our business. We are a data-driven company, and it was great to have a partner who understood that and delivered consistent results. I would highly recommend them to anyone looking for tangibility in performance and collaboration.”
- Loai H.Taha Director Of E-commerce TavolaIn spite of constant digital marketing efforts, they were struggling with improving their financial performance. The objective was -
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to achieve YoY growth in Revenue & Order by 37% compared to the previous year
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to increase overall revenue while maintaining profitability
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to compete with Amazon within the same category
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to maintain a minimum of 5X profitability in the form of ROAS over all the geographies for the time period with an overall increase of 37%
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to increase the revenue and orders by an additional 50% in months with higher sales
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to increase the revenue and orders by 30% in the months with lesser sales
To increase revenue and orders through a more localized campaign structure per geo-location to correctly identify the factors that were diminishing the true scale of shopping ads, the spectrum of search, and the purchase cycle. Here are some measures that we adopted -
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Post an in-depth review, conducted a 150-person sample size consumer behavior study based on the brand’s USP’s and customized Google Shopping ads according to the findings
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Created Brand-only, dedicated language, and match-type campaigns in order to gain control over ad serving based on user searches and improve potential customer targeting
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Created multiple Shopping campaigns with different product categories and further diluted these campaigns with Product category prices for user convenience: <100 (AED) & >100 (AED)
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Segregated Ad-groups into Brand types and further narrowed them down into different price buckets. Used Manual Bidding at brand-level in the Ad-groups with all the relevant ad extensions
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