Mati

How Adbuffs tackled a surge in fake orders in 2024 for a Clothing Brand.

Mati is a sustainable designer fashion apparel brand that deals in high average order value products.

About the

Brand

StyleMati offers ready-to-wear, sustainable women’s clothing crafted from handwoven, eco-friendly fabrics, promoting comfort and ethical fashion.

Target Audience Characteristics

Prioritizes high-value, luxury items.
Seeks fashion worn by celebrities.
Values exclusivity and unique designs.
Eco-conscious with a preference for sustainable products.

Problem Statement

Brand faced lots of fake orders.
This caused wrong data, leading to poor ad targeting.
Bad targeting led to more costs and less effective marketing.

Measures we took

Analyze the data to identify patterns or anomalies in orders.

Look for suspicious trends such as:

Analyzed order data to detect some patterns.
Identified high-risk trends, such as excessive orders from certain locations.
Flagged repetitive orders with similar details and inconsistent billing and shipping addresses.

We’ve observed a trend over the past six months where the brand has shown a greater reliance on prepaid orders rather than cash on delivery (COD) orders. Additionally, most of the fake orders are placed using the COD payment method.

Analysis:

Upon scrutinizing sales data, a notable trend favoring prepaid transactions over cash on delivery (COD) was observed. In response, the decision was made to halt COD transactions for 15 days starting January 19th, 2024.

Prepaid transactions showed a consistent increase from 28.33% in October 2023 to 62.75% by mid-January 2024.
Cash on delivery (COD) transactions declined from 63.33% to 17.65% during the same period.
To evaluate the impact of discontinuing COD transactions, performance metrics before and after the change were compared.

This resulted in an 88% reduction in returns, reflecting a substantial improvement in overall profitability.

Conclusion

Discontinuing cash on delivery boosted Mati, a luxury clothing brand. Fake orders dropped by 88%, saving time and boosting profits. This significant decrease not only enhanced operational efficiency but also contributed to a substantial improvement.