Make Your Retail Data Actionable

Turn Observation into Action

WhatCounts helps retailers increase repeat purchases by giving them access to the data they need to make smart marketing decisions. Our retail analytics suite arms retailers with the ability to turn key observations into actions by enabling and implementing data-driven, lifecycle marketing campaigns. After integrating with your eCommerce platform, we pull 3 years of product, purchase, and customer data, layer on our predictive algorithms, and make actionable and strategic recommendations on how to increase your revenue and grow repeat sales.

 

Our Analytics Suite Includes:

Metrics by Segment

Gain key insights on custom segments that you build in WhatCounts. Once you’ve created a new segment you can select the segment from a drop down list on any chart to view metrics, such as:

Latency

Automatically identify the average number of days between purchases and understand general buying behavior. Create key marketing campaigns, such as:

Product Trends

Deep dive into your product catalog and understand which products are your fastest rising items (by any time period), top products by revenue and number of orders, and customer lifetime value. Similarly, you can slice your data by category and understand your top categories by revenue, number of orders, customer lifetime value, and more.

You can use this information to:

Revenue Lift

Revenue Lift is a measure of incremental revenue generated by running WhatCounts powered campaigns, i.e. revenue that would not have been realized otherwise. Using randomized control trials (RCTs), also known as split testing, WhatCounts’ data scientists estimate revenue lift and associated 95% confidence intervals on a campaign by campaign basis and overall to help you know which campaigns are working and which ones aren’t. We break down your metrics by campaign and overall lift, so you can:

Revenue Lift Compared to Last Touch & Multi-Touch Attribution:

Last Touch Attribution

Last Touch attribution is a simplified way of allocating ROI. It looks at the last channel a customer came through and gives 100% of the credit for the sale to that channel. In fact, up to 98% of visitors to your site will not buy on their first visit, meaning that on any given sale, the chances that a visitor has interacted with your brand through various channels is high. Last touch gives you insight into the very last channel a customer used before converting, but it doesn’t tell the story of every touch point that drove a customer to purchase.

Multi-Touch Attribution

Multi-touch attribution is a more complex method of assigning percentages of the total conversion to the different channels that customers touched on their path to making a purchase. It can be created manually or using predictive software. Multi-touch gives you an idea of the journey that a customer took to get to the sale; however, the percent attributed to each channel can be biased and it can still leave out a wide swath of “channels” such as offline sources.

Revenue Lift

The most effective method for truly understanding the value that a certain tool and marketing initiative may be driving for you. Revenue Lift with RCTs treats a certain percent of customers and measures lift in revenue from that subset as compared to your non-treated (control) group. This process is done automatically within the Windsor Circle Platform, allowing clients to truly understand the lift they’re seeing from the campaigns they’re running.

Acquire More Customers

Find your most valuable traffic source with WhatCounts. We compile data from Google Analytics on traffic source by product SKU, to bring you metrics, such as customer lifetime value by source and purchase frequency by source. Create a more profitable acquisition strategy by identifying your most valuable acquisition channels.

Ongoing and Historic Analysis

Since we pull in 3 years of product, purchase, and customer data, you can gain a better understanding of how your business has changed over the years. You’ll have access to key metrics, such as:

Slice and dice the data using our custom segment builder, track historic and ongoing coupon usage, and more.

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