Happy to announce new partnership with Sumsub
November 5, 2020
Global COVID-19 FinTech Market Rapid Assessment Study
December 4, 2020
Data analysis services allow businesses to get their data collected, processed, and presented to them in the form of actionable insights while avoiding investments in the development and administration of an analytics solution.
Analysis methods
Analysis of business data using data science. Data science services include data science consulting, development and support to enable companies to run experiments on their data in search of business insights.
Areas of analysis
- Customer behavior
- Customer services
3 ways our Data analysis helps your business
Personalized customer experience – Developing More Accurate Customer Personas
Companies develop personas based on transaction data, and usually have a decent idea of who their customers are and why they are ordering a certain product. However, they often don’t have a good understanding of the motivators (price, quality, cause, loyalty, personality, engagement) that led to the purchase. The ability to layer data and discover more about customers helps to create more accurate customer personas, and provides insight into the motivators that drive action.
Consider value, for example. If machine learning is able to distinguish the customers that are motivated by price, you’re able to see exactly who to market deals to and who it won’t resonate with. Thanks to data, marketers have the ability to not only know when to send promotions, but also when to develop customized promotions that match past orders. This knowledge creates a better understanding of customer personas and motivators, and lays the foundation for successful 1:1 marketing. Similarly, this data can be used to develop better photos and imagery that appeal to taste motivators or more convenience-driven options. Backed by data, the possibilities are endless.
Sales effectiveness
We can implement machine learning-based lead and opportunity scoring so that you’re sure that your sales team adheres to the chosen business strategy, as well as wisely prioritizes their efforts.
Besides, we can create a machine learning model to make your communication with customers stellar. Trained to detect attitude markers and recognize your customers’ mood, the model will signal your sales team if a particular customer experiences negative emotion.
We can provide you with a machine learning model to help you streamline the sales process by providing your sales team with clever next-step recommendations.
Customer behavior prediction
The use of data-driven marketing techniques is not about looking at the past but is about deciding what your customer’s experience should be today and tomorrow. It is about getting your customer appropriate, satisfied with the enterprise’s offer at every touchpoint, online and offline. Customer data can be analyzed using analytics and Machine Learning and the insights derived from them can be used to develop highly-personalized solutions for every customer. This can improve customer satisfaction and turn a customer into a loyal, high-value asset driving repeat purchases increasing the customer experience.
