Category Page Reordering

Challenges

  • 30% of visitors leave the website from the product listing page
  • Bestsellers and popular products occupy top spots. Irrespective of individual customer taste.
  • Apart from popular products, the range of other products shown is limited.
  • Opportunity to drive much more inventory sales.

Solutions

  • Predicts the most relevant and personalized products for any visitor. In real time.
  • Past behaviour, taste, context and intent are taken into account.
  • Works with the client’s current UX strategy.
  • Provides a good mix of choices. Some that are personalized at a visitor level and some that the retailer wants to push to visitors.

Benefits

  • Ensures that every visitor is able to discover at least a few products that match her taste.
  • Drives visitors towards point of purchase from point of discovery.
  • Substantially increase sales conversions
  • Optimized for discovery and likelihood-to-click

Proven metrics

Increased click-through rates

Increased page-views, add-to-carts
and purchases

Decreased bounce rates

Personal Boutique

Challenges

  • E-commerce websites are usually unable to mimic a sales assistant.
  • Visitors are expected to know exactly what they are looking for. They often don’t?
  • Applying filters, getting further details leads to a tedious user experience.

Solutions

  • Personalized ‘boutique’ pages for each user.
  • Enables users to interact and provide feedback on each product.
  • The product page continuously re-aligns itself. In real time.
  • Displays only the most relevant and personalized products to any visitor at any point of time.
  • Drives shoppers towards point of discovery.

Benefits

  • Ensures product discovery.
  • Increases the likelihood of clicks.

Proven metrics

Increased click-through rates

Recommendation Widgets

Challenges

  • Customers view 4-12 product pages before making a purchase decision.
  • Thereafter, the visitor has to return to the product listing page to make a new purchase.
  • The shopper may leave without purchasing a second product.

Solutions

  • Recommendation widgets enable visitors to explore the site without too many obstacles.
  • Identify the most relevant and personalized products and displays them in a decreasingorder of likelihood to purchase.
  • Fine tune with context and past behavior.

Benefits

  • Increases the likelihood of purchase.
  • Optimized for higher conversions.
  • Led from point of discovery.

Proven metrics

Increased click-through rates.

Increased page views.

Optimisation Widgets

Challenges

  • Personalization engines don’t kick in until sufficient user interaction data is available.
  • A choice between niche and popular products needs to be made constantly.
  • Not knowing customer tastes leads to high views and low conversions.

Solutions

Couple personalization with 3 non-personalization widgets, namely:

  • New-arrivals: Used to capture interaction data for new products.
  • Bestsellers: Used to break the dichotomy of discovery vs. closure.
  • Recently Viewed: Used to lure visitors to zero-in on a choice.

Benefits

  • Increases the likelihood of purchase.
  • Optimized for higher conversions.
  • Led from point of discovery.

Proven metrics

Increased efficacy of personalization.

Incremental conversion rates.

Exit pop-ups

Challenges

Visitors leave without purchases because:

  • marketing campaigns bring in the wrong visitors.
  • visitors do not find anything worthy of purchase.
  • visitors liked some products but chose not to purchase on current session
  • visitors were undecided on a product.

Solutions

  • Exit intent pop-up.
  • Display of a completely personalized feed of products.
  • Discounts and offers.

Benefits

  • Increases the chances of purchase.
  • Optimized for likelihood to click

Proven metrics

Decreased bounce rates.

Increase conversions.

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