Online firms usually tend to have access to a much larger base of data when compared with offline businesses. Hence the analytical needs tend to be more complex. The multiple data sources usually include social media data, web browsing data, response data etc.
Our experience with online businesses, span across traditional e-commerce firms to market-places, as well as industry-leading Digital Advertising firms. We hold a repertoire of successfully designing and implementing loyalty programs for online businesses, customer analytics that reduces data crunch, improving loan-to-value and enhance results of target-based promotional campaigns. We also help by looking at seller-side analytics, figuring out next-best products or services to sell for each customer, thereby increasing up/cross-sell opportunities.
Uvionics Tech E-commerce analytics services help global marketing organizations and digital agencies to improve and expand their capabilities for capturing, gathering, reporting, analyzing the digital marketing data, in a more profound manner. Our services offer global marketing organizations and e-commerce agencies a competitive advantage through increased ability to enhance their data capturing capacities. This would help companies understand the dynamicity of market needs, backed with our extensive industry knowledge and day-to-day working experience.
For the many online firms we offer services for:
Shopping cart abandonment is a common issue faced by ecom sellers. We analyze the buyers shopping experience from the time of selecting a product to determine what post-abandonment marketing tactics can be applied to eventually gain such conversion. By working on shopping cart redesign, A/B testing, conversion rate optimization, remarketing campaigns, cart abandonment emails, or online advertising techniques we reanalyze the issue to create solutions.
Pricing of a product can change at intervals owing to market changes of the brand. We closely monitor it to identify different patterns of transactions, purchase behavior and demographic information of customers. Our dynamic pricing techniques help to bring the right price to the right customer, and focused customer acquisition by a better understanding of the customer and predict the price sensitivity score of the customer.
We can personalize the user experience by tailoring content to individual's characteristics or preferences. By tracking the browse data, purchase list etc. we make the interaction faster and easier; increasing customer satisfaction and retention.
Today's marketers leverage several established best practices and tools to efficiently collect the mandatory information to investigate promoting campaigns and create knowledgeable data-driven business decisions. Campaign analysis can't solely facilitate the traffickers to with build short term fixes to their selling campaign combine however can even offer them marketer with insight into increasing the life price of a client over time. We differentiate the campaign analysis and optimization process into two major categories such as:
At present, the consumers are more sophisticated and empowered with technology, who wants the various business ventures to understand when and how they wish to be engaged. By applying analytics on customers, we transform your data into actionable insights, discovering who your customers truly are, effective ways to retain them and improve the relations. We reduce cost by targeted prospect clients, who'd most likely respond, using segmentation and clustering methods, anticipating which products, services and/or features customers need.
Behavioral Targeting is a technique used by online advertisers to increase the effectiveness of their campaigns, and is playing an increasingly important role in the online advertising market. The assumption behind behavioral targeting is that the users who have similar search or browsing behaviors will have similar interests and thus have a higher probability to click on similar advertisement over the users with different online behavior. Different machine learning algorithms are used to mine data and predict online visitors' behavior.
Web servers keep track of web users' browsing behavior in weblogs, to predict their next requests from their current behavior. We analyze such large scale complex data using analytics methodologies to get the best results for our clients.
It is the method of understanding of the future demand of the products or multiple products, helping the e-retailers to retain, eliminate or update their inventory. Helps in reducing warehouse costs or loss from stocking unwanted products.
Accurate prediction of product returns allow e-retailers to prevent problematic transactions in advance. We improve forecast accuracy, leading to a better decision making in strategic, tactical and operational areas of the organization.
Inventory & Order management is the operational process which can be optimized based on the location and demand sales, price, delivery time etc.
For a better user experience we track the flow of movement of a user in a website to understand customer intents. We combine tracking data with a segment of the user to develop a personalized and effective campaign on the targeted users in real time.
We process and analyze stored historical data and benchmark existing churn & retention rates, across various customer segments; allowing you to determine the performance between one-time buyers versus repeat customers, and more relevant details.
We help business understand how each product performs in detail by analyzing product specific conversion and abandonment rates, views, purchases and quantity sold. We analyze the correlations between multiple products, allowing you to determine the combos and how the selection normally goes. This data can be used for multiple sales campaigns.