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2.11X
increase in average basket size
30%
decrease in marketing campaign costs
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Despite its trailblazing success, this prominent beauty brand grappled with rising marketing campaign costs and struggled to connect with its diverse customer base. Broad, one-size-fits-all campaigns were falling short of delivering meaningful engagement or a strong return on investment.
To address these challenges, they harnessed Quin AI's behavior prediction capabilities, driving a 2.11X increase in average basket size and a 30% reduction in campaign costs.
The results:
- 2.11X increase in average basket size
- 30% decrease in marketing campaign costs
Despite its trailblazing success, this prominent beauty brand grappled with rising marketing campaign costs and struggled to connect with its diverse customer base. Broad, one-size-fits-all campaigns were falling short of delivering meaningful engagement or a strong return on investment.
To address these challenges, they harnessed Quin AI's behavior prediction capabilities, driving a 2.11X increase in average basket size and a 30% reduction in campaign costs.
The results:
- 2.11X increase in average basket size
- 30% decrease in marketing campaign costs
How Quin AI helped
Using its advanced behavior prediction, Quin AI identified shoppers who were likely to add a second product to their cart.
Then, empowered by this data, they introduced tailored incentives designed to encourage those shoppers to make the extra purchase.
By analyzing real-time, in-session data, Quin AI also pinpointed the ideal moment to engage with shoppers for maximum impact. This not only increased average order values but also optimized marketing campaign costs by focusing their efforts where they were most effective.
The results were striking:
- A 2.11X increase in average basket size
- A 30% reduction in campaign costs
How Quin AI helped
Using its advanced behavior prediction, Quin AI identified shoppers who were likely to add a second product to their cart.
Then, empowered by this data, they introduced tailored incentives designed to encourage those shoppers to make the extra purchase.
By analyzing real-time, in-session data, Quin AI also pinpointed the ideal moment to engage with shoppers for maximum impact. This not only increased average order values but also optimized marketing campaign costs by focusing their efforts where they were most effective.
The results were striking:
- A 2.11X increase in average basket size
- A 30% reduction in campaign costs
Our final thoughts
This case study showcases how Quin AI’s behavior prediction and engagement strategies can help global beauty brands connect more effectively with customers.
By delivering tailored incentives at just the right moments, this brand successfully created a personalized shopping experience that led to impressive results – notably, larger basket sizes and a more efficient use of marketing resources.
Our final thoughts
This case study showcases how Quin AI’s behavior prediction and engagement strategies can help global beauty brands connect more effectively with customers.
By delivering tailored incentives at just the right moments, this brand successfully created a personalized shopping experience that led to impressive results – notably, larger basket sizes and a more efficient use of marketing resources.
