Integrated Customer Analytics
- Automate your marketing & sales processes -
What is customer analytics?
we offer marketing audits for digital business, but also tailored apps. Such tailored applications are integrated with your CRM and help you predict customer churn and customer lifetime value
we have rich expertise in automating performance marketing processes for large eCommerce companies. Our apps help you to uncover untapped potential, but also get rid of manual processes.
Market & Sales Tech Implementation
our experts have worked in diverse technical set-ups, including Google Analytics, Webtrekk, Google Tag manager, Big Query, Data Studio. We also have a deep expertise on all data privacy issues.
What are examples for customer analytics use cases and apps?
CALC - Customer Lifetime Value Prediction
this app allows to quickly integrate transaction, demographic, and clickpath data to run different customer lifetime prediction models.
Adcopy Miner allows you to manage your ad copy optimization process at a new level. We enable intra and inter adgroup testing, as well as immediate deployment to your SEA accounts. Learn more.
This app allows to detect low performing search pattern. This is, in particular important, in the area of google smart bidding, which takes too much time to filter our bad traffic in the long-tail.
Latest news on Customer Analytics
Online reviews drive up to 20% of sales in stores. Use AI and Google reviews to understand you customer feedback at scale. Read our recent whitepaper analyzing 2 million online reviews of 12 German retail brands
Lecture at ESB Reutlingen – What are data science products? and predicting the “future business student”
This post covers a lecture at ESB Reutling. Find our take “data science products” and two interesting use case. Also learn how the future business student will look like.
This whitepaper takes a look at 2.1 million customer reviews for 12 German retail brands such as Lidl, Aldi, Rewe, Edeka, dm, obi and a few more. It uses Natural Language Processing to analyze what topics matter most to customers in the period 3/2020 to 2/2021. It also examined how positive/negative customers feel towards certain topics, such as “service at checkout” or “friendliness of staff”.