When returns cut into profits from influencer sales, it’s time to look at the data. Learn 5 ways returns data helps businesses optimize their influencer marketing efforts.
When expertly leveraged, returns data can identify issues and opportunities across sales channels for increased net revenue.
Loyalty programs are designed to increase customer lifetime value, and returns data can inform these programs to reduce losses and increase retention.
Damaged or defective products reduce customer lifetime value and impact a business’s bottom line by millions of dollars. Discover the high cost of damaged products and learn how returns data can identify issues and inform targeted solutions.
Discover how leveraging returns data helps retailers identify sizing issues and develop sizing chart solutions that enhance consumer experiences and increase customer lifetime value.
Analyzing data from every customer interaction, including returns, can help businesses improve customer loyalty even when spending shrinks.
Analyzing post-holiday returns at the start of the year is one of the most effective ways to uncover data-driven solutions that will improve outcomes for the rest of the year and the next holiday season.
Measuring returns is a fairly straightforward process for e-commerce retailers, right? Products are shipped out, some products are sent back, and you hope the amount returned is significantly less than the amount sold. Seems pretty simple.
Retailers invest significantly in marketing and advertising. In fact, over $66 billion is projected to be spent in 2023 on digital advertising alone. But, regrettably, often the marketing strategy focuses only on top-line sales. Marketing and advertising can be elevated to include so much more than that!
How important is it to know the difference between returns and what they mean? For e-commerce retailers, being able to discern is crucial for successful business.