Mid Ranged Clothing Brand Based In India

 

Background:

Niche: Women Fashion Apparel

Adspend: Rs. 8L / month ($10k)

ROAS: 7.2x roughly

 

Challenges:

  • Good ROAS but wanted to scale with a better ROAS or consistent.
  • Not able to maintain the ROAS in their bad days.
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    What have we done?

    Analysing the ad account: Finding the best creatives and the best performing audience from the past.

    Analysing the Website Backend: We digged the data to find out the best sellers and the categories that worked according to the season.

    Revamping the ads: This was the part we love a lot when we already have done our data study. We restructured the ad account starting with the Top of the Funnel campaign. A campaign launched with a best sellers carousel and the best performing audience. We also introduced the Lookalike audience to the past performing creatives in another adset of the TOFU campaign. Another campaign for Retargeting our website visitors was launched alongside with a 10% additional offer. We tested other Bottom of the Funnel audiences such as social media engagers and added to cart audiences further down the line.

     

    We achieved:

    We were able to achieve 10.29x ROAS with scaling the budgets in the first month itself.

     

    What are we Looking forward to:

    We are scaling budgets for India and looking forward to going international starting from the Middle East and US. We plan to double the revenue in the next 3 months..

     

    Conclusion:

    Data is the key, you should always look at your past data if you have to make better data-driven decisions.

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