Companies can’t afford underperforming sales teams in today’s market. Fortunately, analytics can help: Organizations with the right tools can see exactly what messages, meetings, emails, and more have the greatest impact in each market.
In this on-demand session from Revenue Elevate23, Spaulding Ridge’s Mick Ramczyk walks through how companies can use their own data to deliver actionable analytics to every part of their sales organization. By leveraging data, you can improve your training process for sales representatives and scale tactics that work across your team.
Watch the full session here: https://lnkd.in/gtGaWU9m#SpauldingRidge#SalesProductivity#DataSolutions#RevenueGrowth#SalesOptimization
Well, first of all, I want to talk about the challenge that we hear from our customers and what we see out in the market today. How are new hires ramping up in the productivity and what improvements are they seeing as they deploy changes in the sales enablement, hiring and onboarding technology investments or other productivity improving initiatives? What sales managers are developing, the highest productivity account executives and how can they learn from what they're doing so that they can? Apply it to the rest of their team. What new opportunities are coming in the system and what are the high propensity accounts that we should be directing our sellers towards? How has sales velocity changed over time and what key segments are regions? Are we seeing those speed up or slow down? So the approach that we take here at Spaulding Ridge is really developed over the multiple times we partnered with our customers. It starts with really working directly with you, our customers around the vision, right. So we've gotten accelerator that lays out a lot of the, the key KPI's and metrics and um various characteristics that we see that happen within over performing teams. And then what we've done is we've taken and built out a guided workshop, right, that we can take what we've seen other organizations be successful in relation to sales productivity and apply that to your business model, right. What are the metrics that are applicable or not applicable coming out of our accelerator? What drives those metrics from within your systems?
