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We use AI, behavioral science, and interactive bots to make micro-influencers and gig workers more productive and successful, making their companies more efficient and valuable. We’re doing it now in 70+ countries and 24 languages.


Problem

 Large enterprise software providers like Salesforce, Adobe, Oracle, and SAP are vying for market share in the $189B subset of the gig economy known as direct selling.  But their systems are cramming square pegs into round holes, attempting to use the same technology that has worked for their e-commerce and retail customers in a market that we believe needs unique solutions which maximize the unique asset direct sellers have that no other go-to-market channel has to offer: personal relationships their reps have with customers.  

Solution

Our product, Distro is helping customers better understand and motivate their independent reps and customers.  Using the type of AI that is already driving billions for Netflix, Facebook, Amazon, and Google, we build deep behavior profiles about a company's customers and reps.  Then we use those profiles to deliver value in two ways:

  1. We deliver behavioral insights that directly affect customer strategies, helping them create more personalized training, promotions, and communications to reps and customers that result in deeper engagement and higher LTV.
  2. We send hyper-targeted alerts to reps around the world alerting them to their customers and teammates who need their support now.  We cut our teeth on alerting (via internal company CRM, email, and text) people who Distro predicts are in the last 30 days of their lifecycle, along with some tips on how to retain the person at risk. Now we're moving into other use cases and more deeply integrating with more of our customers' sales and marketing tech.

Annual contract value has nearly doubled in the last year and customers are beginning to expand their accounts with us. Over the last year, we've launched in 74 countries and quadrupled product performance and ROI for customers.  Recently a customer earned $100K in new revenue in a weekend and $1M in 75 days.