Field sales teams can make a bigger top-line impact than any role in the organization--when they’re selling. But manual data compilation and report building reduce time for selling and relationship building, and ultimately sideline great teams. Inefficient “busy work” can lead to weakened market position, diminished top line growth, strained relationships in key accounts, and disengaged reps.
On average, less than 40% of a sales rep’s time is spent on selling-related tasks. 
tasks completed in GoSpotCheck to date globally.
Field sales reps want to forge their own path and have the room to make magic, while sales leaders need to leverage that lightning in a bottle for the business.
Having the right tool for the job helps. Effective sales teams can't be weighed down with excess process and no payoff in sight. They need mobile solutions that match their pace and are easy to use on calls. And with capabilities like Salesforce sync packages, leaders across the business can keep their eye on the prize with a frontline view.
As teams are unburdened from mundane, repetitive tasks in outdated systems, they have more energy for high-value activities, like scouting opportunities and making deals.
Our field sales customers have reduced admin time by 20% per week, per rep. They’ve recaptured one day per rep each week and reinvested labor into more location calls, training, and planning.
So, let’s do some math. If the average Field Sales Rep salary is $50,000/year, and you save 52 days/year by improving your field sales process, you can reinvest 416 hours, or $10,000, into activities that directly drive top line sales and grow market share.
You can multiply that number by your FTEs to get a rough estimate of the labor reinvestment you’ll achieve when implementing GoSpotCheck. And that number doesn’t include the additional top line sales growth you’ll gain with a team who can do better work, faster, in more accounts.
Our customers have saved 52 days/year per rep to reinvest into selling.
We use GoSpotCheck in the field to gather qualitative and quantitative data. We take that real-time data and process it through Under Armour’s different departments to increase our bottom line, and ultimately, increase our revenue.”
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