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Jiminny - conversation intelligence software to create high performing teams

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by Startacus Admin

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The lowdown on Jiminny and its AI-driven system that transcribes and analyses sales conversations with customers and then provides tailored coaching to sales teams.

1080x360 (17With money getting tighter than ever, people are being more careful than ever about what they purchase, whether as individuals or as businesses. It has always been crucial to have good salespeople to back up a good product, but their ability to conduct a sales call well has never been more important. That potential customer will usually have plenty of other options, and may even have them lined up and ready to talk to if that call doesn’t go well.

While there are some things that are pretty universal for salespeople - like not swearing at your potential customer and not being too pushy - each person will naturally have a slightly different impact on their potential customers, and that’s where conversation intelligence comes in.

jiminny picLondon-based conversation intelligence startup Jiminny has developed a system for better training and upskilling salespeople. Using AI to record, transcribe, and analyse real sales calls with real customers, the startup can utilise customer knowledge and coaching tools to fine-tune each salesperson’s technique and perfect their pitches.

They will be able to identify where they can do a better job at nurturing the relationship between customer and business, drive more sales, and understand why they may have lost a sale. Jiminny says that businesses using the platform have seen a 20% increase in revenue and 8 hours of admin saved per rep each month.

In August, Jiminny announced that they had raised a huge $16.5 million in a Series A round led by London- and San Francisco-based growth equity firm Kennet Partners. This is their biggest funding round since their $2 million seed round in 2018, and will be used to accelerate growth into international markets. It will also help the startup innovate new solutions to analyse emotion in video, automated scoring of call interactions, and real-time insights generated from transcriptions for better visibility of performance. 



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Published on: 21st September 2022

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