At cultivate, we help organizations and decision-makers reduce uncertainty. Our mission is to provide clarity on the future by…
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Sales Analytics Software
For sales leaders who don't trust their forecast or their CRM data and need to find out where deals, reps and territories are actually going.
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The most accurate daily demand forecasting for retail. Leverage the power of predictive modeling in your procurement planning…
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Demand sage is no longer available. Thank you everyone for your support, and we hope to see you again in the future.
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The kini group is an integrated software, consulting, and analytics firm enabling companies of all sizes to effectively achieve…
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Narrative science, a Salesforce company
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Magnify is a SaaS platform that is redefining & democratizing data-driven go-to-market strategies and execution for industry…
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Moco insight is a technology and service provider who helps companies manage their multichannel customer engagement strategy to…
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Mspcfo helps it services firms understand the business reasons for financial performance. We identify the relative profitability…
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Omniom helps organizations increase revenue streams with strategic data driven consulting services focused on enhancing direct…
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Percolata helps retailers optimize their retail sales teams giving retailers up to a 30% sales uplift using the same labor…
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CRM solution. CRM system designed to help companies organize themselves more efficiently. CRM focused on the sales process.
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Prophecy is a software solution which helps business users develop defensible sales and business forecasts, productively and…
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Qflow.AI is a next-gen strategic planning and analysis solution focused on revenue. It automatically assembles go-to-market…
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Unlock value from your CRM data. Reporting & forecasting software for forward-thinking sales & finance teams. Connects to…
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Relationship unlimited specialise in sales optimisation through building and supporting world-class solutions on the…
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Combining Human Intelligence with Data-Driven Insights Going into a sales engagement blind is just as bad as not reaching out at…
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Analyze every call to identify operational or service-based issues before you lose customers, automate coaching for all your…
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Truechoice solutions is a private, growth-stage software as a service (SaaS) preference analytics marketing software company that…
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Our vision is to revolutionise sales in Japan and the world, allowing people to work anywhere, at any time. From development to…
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Vortini is an analytics solution for sales forecasting and business insight. Improve predictability of the pipeline, increase…
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These vendors are hired to make sense of the sales data a company already has but can't use. In practice that means connecting to your CRM and other systems of record, cleaning up the activity and pipeline data sitting inside it, and turning that into forecasts, rep and territory scorecards, deal-level risk scores, and dashboards that a sales leader can actually stand behind in a board meeting. Some do this with fairly straightforward reporting and visualisation; others apply statistical or machine-learning models to predict which deals will close, flag which reps are off pace, or work out why a territory is underperforming before the quarter ends rather than after.
People end up looking for this when the forecast keeps missing, when finance and sales leadership are working from different numbers, or when a sales VP has to manually stitch together spreadsheets from CRM exports every week just to get a straight answer on pipeline coverage. It also shows up when a company has grown past the point where a sales manager's gut feel about their team is good enough — nobody can say with confidence which reps are actually effective, which deals are real, or whether a territory or comp plan is working, and everyone is relying on whatever the CRM happens to show, which is usually incomplete or stale.
The providers in this space split along a few real lines. Some are built specifically to sit on top of Salesforce or another CRM and extend its native reporting; others are standalone platforms that pull from CRM, email, call data and marketing systems to build a fuller picture, which takes more setup but gives a less CRM-dependent view. Some focus narrowly on forecast accuracy and pipeline management, others on rep performance and coaching, and a smaller group apply predictive or machine-learning scoring to individual deals rather than aggregate trends. When comparing them, look at how much manual data hygiene and configuration they require before the numbers can be trusted, whether their models have a track record you can check against your own historical results, how deep the integration goes beyond a basic CRM sync, and how the pricing behaves as your sales team grows — some scale cleanly with headcount, others get expensive fast once you add more data sources or users.