Advanced Statistics & Machine Learning
Augment your data analytics team with our Data Scientists and get your advanced and predictive analytics projects off the ground faster.
Talk to us about your projectSome of the ways we can help you
Sales forecasting
Unlock the power of data-driven planning by leveraging advanced statistical and machine learning models, ClicData helps you predict future sales trends and align your objectives with market demand using at least two years of historical data.
Using data from your last 2 years (minimum) of sales data we will help you identify patterns in your data and forecast sales for the next 6 to 12 months and present you with several models and results.
Using data from your last 2 years (minimum) of sales data we will help you identify patterns in your data and forecast sales for the next 6 to 12 months and present you with several models and results.
Prospect conversion
Understand what truly drives conversions with ClicData’s Prospect Conversion insights. Pinpoint high-potential prospects and streamline your sales funnel by identifying key behavioral and funnel metrics that impact conversion rates.
Using demographic data, geographic data, lead data, sales funnel data and conversion metrics from your current systems we will build models that would best describe the conversion rates and present the results in the form of dashboards.
Marketing ROI forecast
Maximize your marketing investments with precise ROI forecasts. ClicData empowers you to predict campaign outcomes and refine strategies through deep analysis of sales data, conversion metrics, and A/B test performance—helping you make confident, data-backed decisions.
With your existing and past campaign data, sales data, customer engagement metrics, conversion rates, and more to perform comprehensive A/B testing and performance analysis, our team will identify features and prepare models that can be best used to forecast the marketing spend and ROI.
Churn prediction
Stay ahead of customer attrition with Churn Prediction analytics that reveal the behaviors and trends that signal potential churn, so you can proactively engage at-risk customers, boost loyalty, and improve retention across your user base.
Using customer demographic data, transaction history, interaction data, subscription or usage data, customer support data, and satisfaction metrics we can build out models and present results in dashbaords that can be used to monitor customer churn.
Sentiment analysis
Tap into the voice of your customers with Sentiment Analysis. ClicData analyzes feedback from surveys, reviews, and interactions to uncover how your customers truly feel—helping you enhance satisfaction, address concerns proactively, and strengthen your brand reputation.
We will produce a summary and detailed report of your customer feedback categorized by overall and topic specific sentiment so that you can decide on the next best actions to take.
Customer reviews, survey responses, support tickets, and social media feedback. We can incorporate your activity planning, product features, and customer experiences for a more holistic analysis.
Customer segmentation
Boost marketing and sales performance with smart Customer Segmentation. Using demographic, behavioral, and transactional data, our team will group customers into meaningful segments so you can personalize your messaging, improve targeting, and maximize impact.
Customer demographic data, geographic data, psychographic attributes, technographic segmentation, e-commerce and purchase history, behavioral data, and customer interactions over a sufficient period of time, is just some of the data we can use to produce this analysis.
Customer demographic data, geographic data, psychographic attributes, technographic segmentation, e-commerce and purchase history, behavioral data, and customer interactions over a sufficient period of time, is just some of the data we can use to produce this analysis.
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Key Phases in Advanced Analytics projects
Advanced analytics projects, including those involving machine learning modeling and execution, often require more iterations than traditional business intelligence work. While they build on existing data and reporting foundations, they go further by emphasizing higher data quality, careful selection of features and properties, and rigorous validation of models to ensure statistical soundness.
- Business UnderstandingHere we work with you to define what is the goal of the project, for example, Customer Sentiment Analysis or Churn Prediction. We will also work with you to define the success metrics (e.g., accuracy, recall, RMSE, lift).
- Data UnderstandingIdentify available data sources (CRM, email campaigns, surveys, social media, etc.) and analyze data structure, volume, and quality. We perform basic exploratory analysis (e.g., distributions, missing data, initial correlations).
- Data PreparationWe start with cleaning the data such as missing values, duplicates, and outliers. We then start identifying features of the data such as customer tenure, last purchase gap, average sentiment score, etc. We may need to enrich the data or review our understanding of the data.
- ModelingIn this phase we select models based on the goal. We may select a few models based on the task such as Text classification (Logistic Regression, Random Forest, Transformer models like BERT) for Sentiment Analysis, Regression models (XGBoost, LSTM, etc.) for Forecasts and for Classification (e.g., Random Forest, Gradient Boosting, Neural Networks) for Conversions. We Train/test split or cross-validation across multiple models for comparison.
- EvaluationWe evaluate the results of the model and some business validation to make sure the results make sense in real life.
- DeploymentWe then produce dashboards and reports to provide the final result and so that you can make decisions on it. We can also work with you to setup schedules to re-train the models and alerts based on conditions.
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