I’m looking for your humble and wise feedback. More applicable to sites with long sales cycle solutions like SaaS or high-end e-commerce and people who are familiar with SQL, R, Python, Pandas.
We (Dripit.io) are working on a new product idea around data API’s.
Working with data is hard. On one end you either have raw data API and you have to spend long hours preparing data before you can ask any reasonable question. On the other end, it is limited dashboard which doesn’t answer questions you are particularly interested.
An API endpoint which returns full Customer journeys with:
- Acquisition channel + costs;
- Touchpoints + costs;
- Total acquisition cost of a particular customer;
- Abandon point and cumulative cost till the point;
- Time till conversion.
As a data source can be used already existing Snowplow dataset.
You can use this end-point to play with data in Google Data Studio, load into your database, build/improve your predictive models, build internal dashboards. Essentially it is ETL with a focus to return well-structured customer journey information.
Your feedback would be much appreciated