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Improving the Customer Journey with Process Mining
Removing stumbling blocks
Improving conversion rates
Increasing customer satisfaction
Increasing e-commerce performance
DEAR INTERESTED PARTIES
As an online marketer you know it: A visitor browses your shop, puts his desired product in the shopping cart and is about to buy it. But then - at the last moment - he breaks off and flows into your "Cart Abandonment Rate" as a negative performer. Were the shipping costs too high for him? Did the voucher code not work? Did personal information have to be re-entered? Seemingly unfathomable. Not quite! Using Process Mining technology, you remove stumbling blocks from the customer journey and significantly increase eCommerce performance.
INTRODUCTION | PROCESS MINING
The agile process mining technology based on the Qlik® BI platform enables rapid ad hoc analysis of digital traces to identify and eliminate bottlenecks and problems in processes. Process knowledge contained in data, implicit and otherwise hidden is visualized and thus tangible and transportable.
Drag and drop functions make it easy to load data and create analyses. We show you how!
USE CASE | CUSTOMER JOURNEY ANALYTICS
Process Mining uses the clickstream data of the website, i.e. the digital traces your users leave behind, to automatically map user behavior in the form of the lived processes and process variants and provide them with process-related key figures. Process weaknesses and problematic patterns are automatically detected and user behaviour becomes completely transparent.
We invite you to follow an exciting use case!
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Better eCommerce performance through intelligent clickstream data analysis
How to remove costly weak points from the customer journey with Process Mining
Whether website tracking or eCommerce tracking: as an online marketer you know the golden rule "Set measurable goals that you want to achieve with your website / shop". Corresponding measurements can be Marketing KPIs (e.g. Return on Advertising Spend, Net Promoter Score, Email Open Rate), Operational KPIs (e.g. Average Delivery Time, Time to Market) or Sales KPIs (e.g. Number of Leads in Sales Funnel, Average Time for Conversion). Very important eCommerce KPIs are also Conversion Rates, Cost per Click and Cart Abandonment Rates. All these KPIs are important factors and give you orientation how well your website / shop "performs". So far so good. Ideally, you will receive relatively reliable and meaningful measured values. But what you do not know yet: HOW and WHY does this analysis result come about?
Process Mining provides answers ...
some of our satisfied customers ...