Sales and marketing analytics are essential to targeting the right consumers, increasing revenue and improving brand image. However, salespeople are often constrained by time-consuming interactions that can mar their ability to drive more revenue. Nearly 57% of organizations today do not consider themselves as effective users of advanced analytics even though they can deliver significant top-line and margin growth by guiding the sales team to make better decisions.
DecisionTree uses advanced analytics and machine learning to predict the most valuable sales opportunities for revenue growth, reduce operational expenses and make better decisions faster, which can radically improve their sales productivity. We also provide forecasts of sales trends and outcomes by combining data integration with best-in-class data modeling and data analysis techniques. You can also unlock insights into which sources of sales leads are truly driving your business growth by including sales conversion metrics like geo-location, product IDs, order tallies and churn rates in the analysis, leading to improved sale efficiencies and generating greater revenue margins. Our analytics will also help uncover the right way to engage your customers.
Predictive Pipeline Management
B2B sales will always be a number game. While building a data-driven sales team, we will help you track, visualize and analyze all your historical pipeline data at one go and provide you the visibility of your total pipeline. Our sales analytics will not only provide you reliable forecasting, but also daily sales intelligence and real-time reporting. Our Predictive Lead Scoring is designed to help reduce human error and increase the quality of the leads by analyzing the data around successful leads with information from all kinds of sources such as CRM, digital footprints etc. We can help you identify patterns and relationships that were not noticed until now and aid sales & marketing by providing a data-driven reason for all leads. Conversion analytics allows for teams to continuously optimize performance to steadily improve customer experience.
Account Segmentation and Cross-Sell/Up-Sell Modeling
Always wondered which accounts to contact first? What are the best opportunities? How to improve your sales result? How to identify customers at risk of leaving? Account segmentation will help you meet the needs of a diverse customer base, translating into larger deals, faster sales and better win rates. In order to improve your segments and customer personas, we use machine learning algorithms to identify and analyze patterns on all kinds of data such as clickstream, feedback, support tickets, usage data and email response data to score customers, campaigns and channels. This will help you to identify your best customers, prospects and up-sell opportunities, as well as the best offers to send to each group. Broader macro level trends, risks and opportunities identified will enable your management to formulate and implement effective longer term strategic initiatives.
Businesses know that measuring your sales team's successes and failures is vital, but this is not an easy task. Activity Analytics helps you optimize individual and group performances and ultimately pipeline and conversion by tracking rep activity ratios. We analyze calls to opportunities and opportunities to closed deals and help you uncover the insights behind your team's performance. We also help to segment the activities by different individuals and help you find out the top performers of your team, while also analyzing what they do differently from the rest. This will also provide a sneak peek at the conversion rates for each individual stage-by-stage, allowing you to see what areas the reps lag in and review accordingly.
Sales and Revenue Forecasting
Meeting company sales targets and accurately forecasting sales revenue is critical to the success of any company. The task can be extremely time-consuming and with numbers spread across multiple individuals, locations and business units, it can become tedious. By combining data with predictive analytics, we enable you to make the sales team more efficient through data-driven decisions, reduce time spent on manual tasks and spend more time on customer-facing activities, track revenue from renewals, the impact of churn on the business, remove bias and guesswork.
Losing customers is always a painful affair. But, do you know why you are losing them? Our experts can help you track the reasons behind the churn using predictive churn modeling. We aim to first identify those customers who are at a high risk of churn, understand the factors behind the attrition and provide you the insights you seek to address the churn rate. Predictive churn modeling can keep track of the health of your customer base. It takes into account more than CRM data and also includes sources such as service usage, client feedback and customer service requests, social media interactions, web tracking data etc.
Sales Reports and Dashboard
Every sales team wants to be data driven, but are you doing the right kind of data analysis? It pays to ensure that you don't miss the progress made by your sales team. You can have all that, at the click of a button and that too in real-time. It will provide a one-window answer to questions like monthly sales, pipeline progression, opportunity stage movement, win rate analysis, rep performance, pipeline coverage etc. These dashboards and reports will help you identify which sales process is the most effective and which one needs tweaking. You can review the performance of your sales reps and teams, while also gaining perspective on successes and pain points.
Customer Insights and Loyalty Analysis for a 'Music and Home Entertainment' Retail Chain
Using retail analytics on loyalty card data, a leading pharmacy retail company increased transactions by 15% and clocked 30% rise in average ticket size for loyalty card holders.
Financial Analytics and Audit for a leading US-based Marketplace Seller
Sales at a leading US-based marketplace seller soared 1.5 times, while operating margins registered a 50% increase after changes were made to its pricing algorithm.
Campaign Management for a Retail Giant
Retail giant registered 18% revenue growth by using analytics-driven targeted marketing.