eComtics
eComtics is among the few commercially proven unified AI eCommerce Analytics platform that transform businesses into agile, data-based insights-driven organizations. An end-to-end platform, eComtics leverages advanced analytics with easy-to-use interactive visualizations to gain a better understanding of the customers.
eComtics allows eCommerce companies to analyze all kinds of commercial data, regardless of its size, complexity or structure; empowering business to derive actionable “Insights”.
Pain points of e-tailers in high intensity data driven business
- Ability to manage increasingly high volume/variety/velocity of data generated from various sources
- Business insights from accumulated data, leading to inability to prevent customer churn
- Capacity to build accurate customer 360 profiles, leading to no real time personalization and individualized services
- Ability to cross sell/up sell products
- Effective customer segmentation
- Appropriate visualization tools for fast changing business scenarios
Personalized Marketing
Leveraging data analysis and digital technology to deliver individualized mes…
Click here to know moreRecommendation Engine
Identifies products that sell in conjunction with each other on an everyday…
Click here to know morePricing Analytics
Examines the relationship between product pricing and sales and profitability…
Click here to know moreDemand Forecasting
Forecast demand by matching customer’s behaviour with customer’s profiles…
Click here to know moreSentiment Analysis
Determine customers’ sentiments for reputation management by analyzing…
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The Video demonstrates how eComtics help engage your customers, and increase your revenue!!!
Personalized marketing
Personalized marketing is the strategy by which e-tailer delivers individualized content to recipients through data collection, analysis, in real time
The goal of personalized marketing is to engage customers or prospects by communicating with each as an individual.
Benefits
- 20-60 % increase in new customer acquisition through our in-linking and smart personalization marketing
- Upto 3 X increase in user conversion with real time personalization, recommendation, and retargeting
- Predict the likelihood of a customer’s response to an offer based on product appeal, offer receptivity, and frequency of use
- Predict the ROI on each marketing campaign by media type and expenditures – by product and region.
Recommendation Engine
Recommendation engines use suitable algorithms to filter large amounts of data to provide focused product recommendations that are most relevant to the customer.
The algorithms are based on past customer behavior and that of similar customers to recommend products that can be bundled together.
The goal of personalized marketing is to engage customers or prospects by communicating with each as an individual.
Benefits
- Improve revenue by > 30 % using our customizable predictive analytics to recommend relevant products and in time promotions
- Increase user engagement by upto 5X using our upsell/ cross sell and overall management of product merchandising.
- Increase conversion by upto 3x with real time personalization, recommendation, and retargeting algorithms.
Pricing Analytcis
Pricing analytics examines the relationship between product pricing, and sales & profitability across the enterprise.
Pricing analytics enable eCommerce companies to improve their understanding of the impact of pricing decisions, resulting in higher sales and improved profitability.
Benefits
- Enables 15 – 20% improvements in price and promotions’ investments while driving 1 – 3% increases in sales and 2 – 5% margin expansion
- Maximize overall e-tailer profit across all types of pricing; including daily, promotional and markdown pricing
- Optimises the interaction between competitive and complementary product pricing (cross-elasticity)
Demand Forecasting
Demand forecasting takes historical sales data, social media, weather forecasts to forecast customer demand.
Optimises planning and warehousing efforts and costs by providing a dynamic estimate of the anticipated products and quantities of each that its customers will purchase in the foreseeable future
Benefits
- Optimise product life cycle management by increasing the stock of the products that sells the most and reducing stocking of those products that sell the least
- Formulation of pricing strategy
- Planning and implementation of marketing strategy
Customer Sentiment Analysis
Pricing analytics examines the relationship between product pricing, and sales & profitability across the enterprise.
Pricing analytics enable eCommerce companies to improve their understanding of the impact of pricing decisions, resulting in higher sales and improved profitability.
Benefits
- Brand Building through an understanding and management of overall customer sentiment
- Enhancing Brand/Product affinity
- Anticipate market trends through analysis of the Voice-of-the-Customer
- Manage your online reputation
