Marketing Analytics

Marketing Analytics

Marketing Analytics

Optimize your Marketing strategy, tactics and efforts through data. We can make the following possible for you:

Conduct Customer Segmentation Analysis

  • Customer Segmentation Analysis

User Experience Optimization

  • Personalized User-Experience specific to each Persona
  • SEO & SEM to enhance discoverability for your target audience

Marketing Data Strategy Consultancy

  • What and Where to collect data across your marketing channels and customer journey?
  • What tools to use?

Marketing Analytics Dashboards

  • Consolidate Data from multiple sources and construct simple, user-friendly, actionable dashboards

Leverage AI & Machine Learning to build Custom Marketing Tools such as, but not limited to:

  • AdSpend Prediction Model to decide how much to spend on each Digital Channel to achieve target revenue?
  • Predict Customer Lifetime Value to segment & understand customers better

How can Data Pilot help in Marketing Analytics?

We have strong expertise in consolidating data from different marketing sources and e-commerce platforms to build analytics on top of one centralized data store.

Marketing analytics can help you evaluate the performance of a marketing activity. By using data analytics to marketing related data, your business can understand what drives consumer action, optimize return on investment and refine your marketing strategies.

AI technologies have resulted in process automation and process discovery. In this digital age, making data-driven decision-making is essential for every enterprise for digital transformation. AI and machine learning can extract meaning from data when the answers are clearly defined. Moreover, they can also transform exponentially dynamic unregulated and regulated data into insights, behaviors, values, and profitability improvements. Similarly, advanced machine learning and big data can assist AI to take a focal point.  

How Does ML & AI Help Your Business?

Machine learning and AI can help your business decrease equipment breakdown through preventative maintenance. Furthermore, it can help you increase profits by analyzing business performance in detail. The predictive model can predict purchases, revenue and probability, and several variables for better decision-making. With our machine learning consulting services, you as an enterprise can leverage customer data to create valuable customer profiles and thus enhance brand loyalty.

Machine Learning Solution:

We have strong expertise in building machine learning models which demonstrate business value. We start with an exploratory analysis to make sense of the data and pick important features to predict a specific outcome (target outcome within the dataset. For model evaluation, we choose the right metric based on the dataset and business outcome. Due to the bias-variance trade-off, it is very important to ensure that the machine learning model is balanced in terms of the trade-off to avoid over or undercutting and help the business in predicting the right outcome to demonstrate maximum business value.   Through Deep Learning, we have demonstrated the ability to build deep learning models (using PyTorch, TensorFlow, and OpenCV) using tabular data and images. Moreover, we have strong expertise in building computer vision models using deep learning and transfer learning for problems like object detection, facial recognition, image classification, and so on.    Our Machine Learning Roadmap:

You can gain a competitive edge over your rivals by adopting state-of-the-art data practices. Moreover, we can create end-to-end machine learning solutions for your specific business needs by using intricate statical methods and various ML models and algorithms such as Deep Learning.

We have expertise in Machine Learning, Computer Vision, Natural Language Processing (NLP), Deep Learning, and Chatbots. We adopt a holistic approach to developing robust AI & ML solutions that entail the following phases: 1. Learn: Develop an understanding of the business model and problems faced. 2. Educate: Explain AI technology and develop a common ground of possibilities for the business. 3. Ideate: Find solutions and prioritize them for the short-term and long-term. 4. Develop: Formulate an action plan to transform the business with AI. 5. Implement: Ensure the organization embraces the technology by providing a thorough change management plan.