Convizit’s complete activity data set enables data scientists to generate unique business insights that can dramatically improve the business performance of your website.

With Convizit’s complete, context-tagged and pre-structured data stream, there is truly no limit to the breadth and depth of the new business insights that data scientists will be able to generate from your website activity data. Imagine being able to detect correlations, anomalies, friction points, funnel drop-off causes and more – across any number of content-specific dimensions! No other user activity data set in the world comes close to offering this potential goldmine of opportunity.

Sample insights enabled by Convizit’s unique data include:

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Insight

Visitors who clicked the “enlarge image” icon of products in the “New Collection” product category failed to convert 65% more often than other mobile visitors who did not click “enlarge image”.

Recommendation

Test how improving the New Collection product images impacts on conversion rates in this category.

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Insight

Visitors who clicked “Check Size Chart” in product pages in the “Dresses”, “Blouses” and “Skirts” categories are 120% more likely than other visitors to click “Order Now” on those pages.

Recommendation

Test how changing the location, size or color of the “Check Size Chart” link impacts on conversion rates in these categories.

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Insight

Visitors who watched the “Android Accessories 2019” video on their first visit are 240% more likely to add “Samsung Smart Watch” to their cart.

Recommendation

Test how making this video more prominent across the website impacts sales of “Samsung Smart Watch”.

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Insight

Visitors arriving from traffic source “Acme Affiliates” are more sensitive than other visitors to product ratings: they are 37% less likely than the average visitor to click “Add to Cart” for products with less than a 4-star rating.

Recommendation

Pay for links at “Acme Affiliates” only to products with at least a 4-star rating.

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Insight

The click rate of the “Add to Cart” button on the “Jersey Polo Shirt” page on tablet-width screens decreased from 2.2% (average daily rate) to 0 today, while remaining within a normal range on other screen sizes.

Recommendation

Make sure that the “Jersey polo shirt” page is functioning properly on tablet-width screens.

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Insight

Visitors who clicked “Read DIY Installation Guide” in the “Shelving”, “Hot Water Heaters” and “Skylight” categories clicked “Buy Now” for products in these categories an average of 21% less often than other visitors.

Recommendation

Test how improving the content of the installation guides in these categories impacts on conversion rates in these categories.

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Insight

Cart abandonment occurs 16% less often for carts containing high-profit products shown with “left in stock” of 3 or lower at the time the product was added to the cart.

Recommendation

Test if exaggerating limited stock levels for high-profit products reduces cart abandonment.

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