Cartesian DataSciences is the Americas Division of Cartesian Consulting Pvt. Ltd. We’re based in Dallas, providing advanced analytics services to clients located the Americas, plus global services to dozens of top US-based brands.
Our work includes marketing mix modeling, customer segmentation, customer lifetime-value models, attribution, predictive models, cross-sell / up-sell models, market basket analysis, pricing and promo optimization, and analytics of text, web and digital data.
The team consists of 200 people, located at 3 delivery centers — all highly skilled at statistics and machine learning. Tools and methods used in various projects include regression, clustering, random forest, boosting, Markov chains, genetic algorithms, Pareto/NBD (negative binomial distribution), support vector machine, collaborative ﬁltering, time series forecasting and linear programming.
With a 95% client renewal rate, and a 5-star rating on independent platforms like Clutch, Cartesian is frequently described by clients as having “more depth” than they get from other providers. This comes in part from predictive analytics and also from optimization projects.
Going well beyond BI, cross-tabs and dashboards, Cartesian comes in with better and more model builds, and with analytics that drive action. For example:
- A complete customer lifecycle management approach with all the levers and triggers
- Predictive modeling and scoring at the list level. Things like:
- What the probable future value of this new customer who just came in?
- Who is most likely to respond to this particular offer?
- Who is likely to return again next season? etc.
After working on an advanced analytics problem for nine months, the in-house team at one of our clients finally asked us if we could help them. When we solved the problem in just three days, they asked us to hold off a bit, because that seemed a bit embarrassing.
You can go very fast
In 6-8 weeks, you can have three levels of customer segmentation all done, and already be sending highly-relevant, targeted messages based on triggers within your transaction logs.
In fact, in just 4-5 weeks, one client got from us 18 new reports, 169 list pulls for 35 campaigns, 3 new predictive models, 8 deep dives, and achieved $980,000 from win-back, plus $24 million in annualized cross-sell, as well as $330 million worth of incremental sales from campaigns.