Know thy Customers
eCommerce offers opportunities to develop new business models for businesses. It is a direct conduit to customers with a better understanding of personas and preferences. eCommerce purchase data along with the digital footprints that online shoppers leave behind generate valuable information with actionable insights. We are focused on extracting insights from:
Insights with Text Analytics
Conversations about eCommerce businesses are available across the web – whether you collect it on your platform or on numerous review websites and social media communities. In the age of obsession with KPIs as business goals, analyzing text data can provide eCommerce businesses with rich information on customer opinions and feedback from service tickets, reviews, and surveys. We help eCommerce businesses monitor trends, verify hypotheses and identify issues-that helps them serve the customers better.
Optimizing UX with A/B Tests
We help eCommerce platforms create better experiences and increase purchases with higher platform affinity through experiment based optimization of web pages and purchase experiences. The A/B tests enable eCommerce business determine which design, content or functionality is more successful with their site visitors. It allows them to test a variation of the page (or an element on a page) that may affect the visitor behaviour or images associated with each product to maximize conversions using client-side and server-side A/B Testing.
Measuring promotion effectiveness
Does your promotion effectiveness measurement study answer all the business questions you have? A complete promotion effectiveness analysis estimates volume uplift as well as uplift in base sales, the halo effect, future and portfolio cannibalization, uplift in branding attributes (e.g. loyalty) and return on investments (RoI). Our in-depth analysis of promo effectiveness enables eCommerce businesses understand the impact of creatives, price and all other promotions on business performance and promotional RoI.
Shipping Analytics & Insights
Safe, secure and timely delivery determine the bottom line for eCommerce businesses. A significantly large number of purchase decisions are driven by shipping and return options. They affect pre-purchase decisions as well as repeat sales. Through analysis of shipped orders and what happens thereafter, business gain valuable insights on operational bottlenecks, undelivered items, returned items and cost per package or cost per pound. We build automated algorithms to measure these and optimize the shipping processes for competitive differentiation.
Machine Learning for Personalization
Recommendation systems have become the primary way to achieve personalization using customers’ purchase history, browsing behaviour, similarity with other customers and product associations. A business adept in using real-time customer interactions – login, browsing, price or product comparisons, add to cart and other activities – can make personalized recommendations to its’ customers with high accuracy. Use our expertise to go beyond static, rule based recommendations and make real-time personalized offers.
Related Case Studies & Blogs
An ecommerce client studied the impact of product page attributes towards conversions. The ecommerce client was goin...
Are loyalty programs relevant for on-demand e-commerce platforms and are they still effective in boosting retention, pu...
Making sense of unstructured customer review data with text analysis (NLP) The ecommerce platform was amassing revie...