SEO and traditional email marketing are increasingly ineffective. Google's search engine results page (SERP) is increasingly occupied by paid advertisements. Email "Inbox" is very crowded with emails and offers. Standing out requires personalization which is engaging.
Using data analysis and statistical techniques, Cloudcafe can provide insights into your customer's tastes, preferences and priorities. Intelligence which can be used for targeted marketing and sales promotions. Engaging customers in a more personalized approach has shown to increase conversion rates and sales.
We differentiate ourselves by providing expertise to assist our customers in their digital marketing beyond the usual SEO and email marketing which is not data driven.
Data Science Expertise
We are affiliated with a network of highly qualified data scientists and researchers with PhD’s in Operations Research, Statistics and AI.
The expertise of our team covers linear and non-linear optimization, Bayesian
optimization, network optimization, Monte Carlo simulation, Neural Networks and other advanced techniques. In addition to retail industry, our team has worked in other domains such as financial services, manufacturing, health care, transportation & logistics and distribution .
We develop models and algorithms from first principles and specifically for the problem at hand. We do not use open source third party algorithms. Our data science team has years of experience in modeling and creating algorithms for Predictive and Prescriptive analytics.
Our expertise in Machine Learning includes building neural network systems and
Our technology team is made up of very senior software and database designers, developers and quality assurance engineers. Unlike traditional business software applications, analytics applications are heavy in math and statistics and require expertise in data visualization, algorithm implementation and large databases. Our development team is made up of math and science graduates.
Many data science projects suffer from garbage-in-garbage-out syndrome such that
the model is provides erroneous results. This can be damaging if those results are driving or influencing executive decisions. Our model validation techniques provide the confirmation one needs to ensure that the outcomes are trustworthy.
Our solutions cover the major applications of data analytics
Business dashboards with powerful data visualization to get an overview of the state of business as-is. By tracking critical business parameters such as sales, site visitor traffic and source, abandoned carts, customer time spent on various parts of the site, will help in making informed strategic and operational decisions
Predictive analytics for customer behavior modeling, personalization, recommendation systems, customer segmentation, propensity modeling. Our solutions will substantially improve the returns and effectiveness of advertising and promotional campaigns
Prescriptive analytics for using quantitative techniques to generate business solutions which can be implemented. Inventory optimization, optimal distribution and warehouse location strategies are some of the examples of our capabilities
Monitor all the organic search, paid search, social media traffic to your site. Integrate with Google Analytics, Google Web Master Toolkit and Google Tag Manager. Track the user behavior of traffic segments
Track the performance of all digital marketing and promotion campaigns by monitoring performance of banner ads, landing pages, PPC, for both web and mobile. Track visitor journey, bounce rates and conversion rates
Are your customers raving about you on social media? Share their great stories to help turn potential customers into loyal ones.
All our dashboards will be hosted on AWS or Azure cloud platforms. We shall integrate on premise data with a cloud database through an ETL process.
To ensure system availability, we will provide 24X7X365 support services
Customers have questions, you have answers. Display the most frequently asked questions, so everybody benefits.
By using clustering techniques customers can be segmented based on their behavioral data, product category based or brand based data.
With this data targeted promotions and offers can be developed.
Using propensity models, customers buying behavior can be predicted. The models can be used to predict how much a customer will spend over their lifetime on the site before they churn, share of wallet, propensity to engage, propensity to churn, propensity to convert, propensity to buy etc.
These recommendation models were made famous by Amazon with their “customer who liked this product, also liked …” suggestions. There are different types of recommendations. These can be for cross sells, up sells and next sells
Cloud Cafe can build custom predictive models such as demand forecasting, which are unique to customer's business need.
Cloud Cafe's software baristas are adept at converting algorithms into efficient and accurate applications which can be used by end users.
To realize the benefits of these marketing and targeting techniques, the analytics platform should be integrated with marketing execution platforms. We will integrate with platforms such as Mail Chimp, Marketo, SMS Text Messaging platforms on IPhone and Android phones and tablets.