Understand your customer and deliver personalized experiences, where everybody wins
One size doesn't fit anybody
66% of customers expect companies to understand their unique needs (Salesforce)
Many businesses use recommendation solutions that fit their needs, but aren’t relevant to their customers. On the flip side, many businesses are using recommendation solutions that understand their customers, without understanding their business.
Personalized experience that just keeps getting better
Recommender leverages data across your whole company. That means it makes recommendations relevant to your customer and company. That means bigger baskets and more time for you. It just keeps getting better too, learning more about your customer at each touch point and making more precise recommendations through each customer’s journey.
Personalized customer experience at scale
Make every touchpoint with your customers meaningful, relevant and personal by showing them what they want to see, how they want to see it, when they want to see it. Gain a fuller understanding of how products interact with each other and what role they each play in your catalog.
Increase conversion rates
Increase basket size
Higher purchase frequency
More repeat customers
Under the hood
Recommender is built on Peak. It builds a deep understanding of your customer and company, taking in customer data at every touch point and learning what matters most to your business to deliver personalized recommendations to each consumer. Everyone wins.
- Combine data
- Add intelligence
- Make decisions
Ingest, transform and organize large volumes of data from across your company.
- Product data
- Customer data
- Google suite data
- Website data
- Email data
- Stock levels
- Third party data e.g., weather
Create a matrix of every product and customer.
Learned AI models are applied to the data to find patterns based on behaviors. From there it provides unique recommendations for each customer. It’s smarter than traditional solutions, taking into account:
- Business rules (e.g. which brands should be recommended together)
- Region, making sure customers only see products available where they are
- Up-to-date stock levels
Track your recommendations and performance.
Recommender comes with a dashboard to see product and user recommendations within your site’s:
- Checkout page
- Basket page
- Search results page
- Product listing page
- Product detail page