When transitioning towards data driven marketing a company goes trough different stages both from technological, organisational and cultural perspective.
Attribution modelling remains a hot topic. Its difficult to implement and also to act on, we provide some advice here.
Doing data driven attribution on keyword level can be very valuable as every keyword along converting customer journeys get conversion credits and a ROAS. Its one of the big benefits as it simplifies the analysis and saves so much time and money.
Here I go into the differences between them. Markov model has the benefit that it takes into account the order of the events.
Here we go trough some code examples how one can do attribution modelling in R.
How to connect PowerBI to windsor.ai and all marketing data platforms and attribution modelling.
How to track on qualified leads and closed revenue if the sales revenue is tracked in a CRM like salesforce.
Price comparison site can performance really well when looking at whole customer journey.
Connexity ROAS easily visualised and attributed.
Windsor.ai integrations to the DSP platforms.
Affiliates like AWIN can perform really well with data driven attribution.
A quick comparison of funnel.io and segment.io
Comparing the data-pipeline tools in a quick showdown.
Comparing the three different visualisation tools.
A presentation Niklas gave at the Analytics Round table Zürich.
TBD
Some mistakes we are seeing when corporations attempt new ventures.
We wrote down some things from our failed product launch.
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