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While its flat-pack furniture is a breeze to assemble, the uphill battle of increasing average basket value and driving online sales presented a far more complex challenge for this leading furniture brand.
With rising customer expectations for personalized experiences, they needed a more sophisticated way to turn browsing into buying, especially for high-value items.
Cue their successful collaboration with Quin AI.
Leveraging Quin AI’s behavior prediction, the furniture brand gained real-time insights into their online shoppers, allowing them to engage customers at just the right moments for maximum engagement.
The results were impressive: a 40% increase in mattress sales, a 404% rise in average basket value, and a 20% increase in product conversions.
Let's take a closer look at how the world’s leading furniture and home furnishing brand achieved these remarkable numbers:
Results:
- 5.04X increase in average basket value
- 40% boost in mattress sales
- 20% increase in product conversions
While its flat-pack furniture is a breeze to assemble, the uphill battle of increasing average basket value and driving online sales presented a far more complex challenge for this leading furniture brand.
With rising customer expectations for personalized experiences, they needed a more sophisticated way to turn browsing into buying, especially for high-value items.
Cue their successful collaboration with Quin AI.
Leveraging Quin AI’s behavior prediction, the furniture brand gained real-time insights into their online shoppers, allowing them to engage customers at just the right moments for maximum engagement.
The results were impressive: a 40% increase in mattress sales, a 404% rise in average basket value, and a 20% increase in product conversions.
Let's take a closer look at how the world’s leading furniture and home furnishing brand achieved these remarkable numbers:
Results:
- 5.04X increase in average basket value
- 40% boost in mattress sales
- 20% increase in product conversions
Challenge #1: Boosting mattress sales in a try-before-you-buy world
Selling mattresses online isn’t easy – most people prefer to try them in-store before making a purchase. This posed a challenge for this furniture brand, as their mattress sales were underperforming. To address this, they needed a fresh approach that would convince shoppers to buy online, all while avoiding discounts that could impact their profits.
How Quin AI helped
Using Quin AI’s behavior prediction, they were able to identify visitors who were interested in mattresses but were likely to abandon the website before purchasing.
With this knowledge, they could engage hesitant shoppers at the perfect moment by delivering a custom reminder about its 90-day return policy. While this policy was already listed on the website, highlighting it at the right time made all the difference. It reassured customers that they could try their mattress at home, risk-free, which eased their concerns about making a big purchase online.
This personalized approach boosted mattress sales by an impressive 40%, outperforming the product category's average conversion rate.
Challenge #2: Breaking the cycle of browsing without buying
To meet their performance goals, they wanted to increase their average basket size. However, they hit a roadblock: many of their shoppers browsed the site without adding items to their carts. These visitors were engaged enough to explore products but too hesitated to commit, creating a gap in the customer journey and leaving potential revenue untapped. Without a clear understanding of their visitors' intentions or their barriers to purchasing, Ithey struggled to deliver tailored strategies to encourage larger basket values.
How Quin AI helped
Quin AI enabled this company to subtly encourage shoppers to spend more through real-time, personalized engagement that never felt overwhelming.
Unlike traditional rule-based systems, Quin AI’s algorithm analyzed this brand's customer behavior in real-time, allowing it to zero in on shoppers both with items in their carts and those still browsing. This in-the-moment insight enabled Quin AI to identify key opportunities for engagement and deliver a custom message at the perfect time, highlighting perks like rewards or incentives that shoppers could unlock by spending over a certain amount.
The result was a phenomenal 404% increase in average basket size – a clear testament to the power of real-time, data-driven customer engagement.
Challenge #3: Overcoming barriers to premium product purchases
Despite drawing interest, their high-value items often failed to convert browsers into buyers, leaving potential revenue unrealized.
But, identifying hesitant shoppers was only half the battle for them. They also needed to figure out when and how to connect with these customers in a way that would encourage them to buy.
Without that understanding, re-engaging these shoppers was proving difficult. This led to missed opportunities for high-value sales, which left the furniture brand struggling to meet its revenue goals.
How Quin AI helped
Using Quin AI's real-time insights, they identified shoppers interested in premium items who were highly likely to leave the website before purchasing.
With this information, they were able to engage these potential buyers at just the right moment, offering custom incentives to encourage them to follow through with their purchase.
This thoughtful strategy successfully re-engaged hesitant shoppers, resulting in an impressive 20% increase in conversions.
Challenge #1: Boosting mattress sales in a try-before-you-buy world
Selling mattresses online isn’t easy – most people prefer to try them in-store before making a purchase. This posed a challenge for this furniture brand, as their mattress sales were underperforming. To address this, they needed a fresh approach that would convince shoppers to buy online, all while avoiding discounts that could impact their profits.
How Quin AI helped
Using Quin AI’s behavior prediction, they were able to identify visitors who were interested in mattresses but were likely to abandon the website before purchasing.
With this knowledge, they could engage hesitant shoppers at the perfect moment by delivering a custom reminder about its 90-day return policy. While this policy was already listed on the website, highlighting it at the right time made all the difference. It reassured customers that they could try their mattress at home, risk-free, which eased their concerns about making a big purchase online.
This personalized approach boosted mattress sales by an impressive 40%, outperforming the product category's average conversion rate.
Challenge #2: Breaking the cycle of browsing without buying
To meet their performance goals, they wanted to increase their average basket size. However, they hit a roadblock: many of their shoppers browsed the site without adding items to their carts. These visitors were engaged enough to explore products but too hesitated to commit, creating a gap in the customer journey and leaving potential revenue untapped. Without a clear understanding of their visitors' intentions or their barriers to purchasing, Ithey struggled to deliver tailored strategies to encourage larger basket values.
How Quin AI helped
Quin AI enabled this company to subtly encourage shoppers to spend more through real-time, personalized engagement that never felt overwhelming.
Unlike traditional rule-based systems, Quin AI’s algorithm analyzed this brand's customer behavior in real-time, allowing it to zero in on shoppers both with items in their carts and those still browsing. This in-the-moment insight enabled Quin AI to identify key opportunities for engagement and deliver a custom message at the perfect time, highlighting perks like rewards or incentives that shoppers could unlock by spending over a certain amount.
The result was a phenomenal 404% increase in average basket size – a clear testament to the power of real-time, data-driven customer engagement.
Challenge #3: Overcoming barriers to premium product purchases
Despite drawing interest, their high-value items often failed to convert browsers into buyers, leaving potential revenue unrealized.
But, identifying hesitant shoppers was only half the battle for them. They also needed to figure out when and how to connect with these customers in a way that would encourage them to buy.
Without that understanding, re-engaging these shoppers was proving difficult. This led to missed opportunities for high-value sales, which left the furniture brand struggling to meet its revenue goals.
How Quin AI helped
Using Quin AI's real-time insights, they identified shoppers interested in premium items who were highly likely to leave the website before purchasing.
With this information, they were able to engage these potential buyers at just the right moment, offering custom incentives to encourage them to follow through with their purchase.
This thoughtful strategy successfully re-engaged hesitant shoppers, resulting in an impressive 20% increase in conversions.
Leading furniture and home furnishing brand accelerates sales with Quin AI’s predictive analytics
As demonstrated throughout this case study, this brand fully leveraged the power of behavior prediction to gain deep insights into their online shoppers. This allowed them to offer users highly targeted and hyper-personalized experiences that delivered the following results:
- 40% increase in product-specific sales
- 5.04X jump in average basket value
- 20% rise in product conversions.
By engaging customers at the right moments in their shopping journey and delivering relevant experiences, this brand successfully turned casual browsing into a significant revenue boost.
Leading furniture and home furnishing brand accelerates sales with Quin AI’s predictive analytics
As demonstrated throughout this case study, this brand fully leveraged the power of behavior prediction to gain deep insights into their online shoppers. This allowed them to offer users highly targeted and hyper-personalized experiences that delivered the following results:
- 40% increase in product-specific sales
- 5.04X jump in average basket value
- 20% rise in product conversions.
By engaging customers at the right moments in their shopping journey and delivering relevant experiences, this brand successfully turned casual browsing into a significant revenue boost.
