Viewing Posts for: Michael Rogan
How do you get the most out of your CRM for Sales Forecasting?
If you were an early adopter of Customer Relationship Management (CRM) technology, you probably found it to be an expensive, complex tool that often fell short of delivering on expectations. Today, CRM is easier to use, more cost effective, and a must-have for managing nearly every aspect of business data.
Now that you either have or are probably considering a CRM system, how do you get the most out of it? Here are five tips for leveraging your CRM for sales forecasting to gain greater confidence in sales forecast accuracy:
The Real Moneyball: The Importance of Analytics to Improve Sales Forecast Accuracy
The term “moneyball” is best known for applying an analytical approach to evaluating players on the baseball field, as written about by Michael Lewis in his book of the same name. The concept of moneyball can also apply to the field of sales, where analytics are used to improve sales forecast accuracy.
In my role as Director of Sales Operations at Richardson, I manage support functions that are essential to sales force productivity. When I took on this role in 2012, my primary goal was to improve sales forecast accuracy by providing insights into performance trends, identifying gaps, and recommending ways to fill those gaps.
To do this, I had to develop meaningful reports that would highlight trends and key deals, while assisting the sales team in managing the pipeline. These reports also had to give senior management the detail and visibility needed for decision making on additional strategies and whether to become personally involved in specific opportunities.
To me, there are two key aspects of sales forecasting. One is the analytics of deals in the pipeline. I use these metrics as a pressure test to qualify the risk of the forecast. This is important because, at the end of the day, if senior leadership is making decisions about investments, incentives, or promotional programs on the basis of information that I’m providing, I need to make » Continue Reading.
5 Sales Forecasting Techniques to Improve
The key to improving the accuracy in sales forecasting rests with knowing what you need to measure to find out what you want to know. With today’s technology and the near ubiquity of Customer Relationship Management (CRM) systems, it’s more important than ever to give forethought into how you construct your sales forecasts. Otherwise, the data that you get from your time and technology investment may not be what you need to make the right decisions or achieve a real difference in results.
Here are five things that matter most in sales forecasting:
Don’t bother with CRM if you don’t have a sales process. Without an effective sales process in place, how can you trust your CRM technology to provide relevant insights into where deals are stalled or progressing in your pipeline? How can you begin to measure verifiable outcomes and assess the performance (or coaching needs) of your sales force? How will you recognize leading indicators of customer engagement and gain greater confidence in forecasts? There’s an old saying: If you don’t know where you’re going, any road will take you there. Without a sales process, the metrics you pull from your CRM will often be just numbers. Forecast with metrics that matter. Many sales forecasts are built on probability analysis using weighted metrics. The scenario might go something like this: My historical win rate for opportunities in Stage Two of » Continue Reading.