Web Analytics Hub

Analytics for Growing Companies

Services – What We Do

We help growing companies in making data-driven decisions and build the most important analytics foundations as they scale and grow bigger.

Web Analytics Hub - Marketing, Customer and Product Analytics



Business Domains

Our customers are mainly E-commerce , SaaS, large retailers and online marketplaces due to our vast experience in the same. However, we have worked in multiple industries by now and can adapt to new ones fairly quickly given enough business context and understanding.



We provide the following set of strategic services for our clients:

Data science & machine learning

  1. Forecasting & regression models – all types of forecasting with a clear focus on business objectives
  2. Sentiment analysis – we do the entire model development from scratch for our clients and some of these are also based on transfer learning approach.
  3. Topic modelling & language modelling – we help build these models to scale up your customer service, customer feedback operations by automating the repetitive & manual aspects of your business, saving you huge amounts of time, money & energy

Data analytics

  1. Executive Centralized Dashboards : We create centralized dashboards with your business goals in mind so that you can focus on your most important metrics at all times and take data-driven decisions daily
  2. Analytics Areas: We operate mainly in the Holy Trinity of Analytics for our clients i.e. Marketing, Customer and Product Analytics – a clear focus on these three help our customers in gaining deep understanding and top insights from their business
  3. Deep-dive analysis: In all the above areas, we go deep into the data and bring you the top actionable-insights and not just the regular report or dashboard that any analyst does. The high-level metrics & KPIs don’t tell you the entire story of your business, we help you build the entire understanding of what happened, why it happened and how you can shape what happens next in your business
  4. Marketing and Sales Analytics: A clear outline of all your marketing campaigns along with deep analysis to maximize the ROI of each campaign by looking at all factors and triggers for the same. Along with this, Sales analytics helps your Sales team to look at the main KPIs and not just follow gut/intuition all the time.
  5. Customer Analytics: This would involve a deep look at entire customers, creating customer personas, customer segmentation and all types of analysis related to the same. The engagement of each customer segment with your product/services and then scoping the same out to your business goals drives a lot of insights for our clients.
  6. Product Analytics & AB Testing: A deep understanding of your products, it’s usability, it’s engagement and interaction with customers can help in bringing insights and improving your product in a continuous manner. AB Testing & significance testing, we help product companies in understanding
Ecommerce metrics to track


Technical Details

Here’s a brief list of languages & technologies we prefer to work on.

Languages: SQL, Python, R, Hive (All servers & types)

Technologies/Products: Tableau, Domo, Klipfolio, Looker, BigQuery, Hadoop, Databricks, Rundeck

We are generally tool-agnostic but focused on Domo and Looker as our Top two enterprise tools in helping enterprises understand their data and make better & faster decisions

You can read the most common questions here and more details on our blog. You can reach out to us by filling out this contact form

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