Ezlytix is a managed analytics as a service (maaas) company whose mission is to help users make better decisions by leveraging…
5.0
2 reviews
Category
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.
Discern helps B2B companies turn raw operational data into AI-ready business data. Most enterprise data lives across CRM, ERP…
4.9
9 reviews
Sfvision develops and delivers mobile applications for Salesforce users. Our focus is on accelerating productivity and easing the…
4.9
4 reviews
Cien.AI is a data analytics platform using AI to generate actionable insights from CRM systems, to improve sales performance…
4.8
4 reviews
Powering the future with agentic AI, no-code innovation & intelligent data integration At infometry, we are reimagining how…
4.7
Every business runs on its forecast. When it's solid, leadership moves with conviction. But getting there takes process…
4.5
3 reviews
Funnelsource is the highest-rated forecasting and pipeline management app on the Salesforce appexchange. We've helped…
4.3
20 reviews
Aviso delivers agentic AI that turns insights into autonomous actions, giving GTM teams precision, speed, and control to drive…
4.2
383 reviews
Azurepath is a modern cloud-based application that automates lead management, communication tracking, sales performance…
4.2
31 reviews
Pega provides the leading AI-powered platform for enterprise transformation. The world's most influential organizations trust our…
4.2
5 reviews
Bedrock's software takes syndicated & retail data (nielsen, iri, spins, whole foods, etc) and transforms it into dynamic selling…
4.0
2 reviews
Onehq is a SaaS (software as a service) solution focused on reshaping the insurance distribution industry. Our software brings…
4.0
2 reviews
Captain bi provides more than 15 tools for amazon sellers, including the keyword research tool, product research tool, sales…
Unrated
Clickbase corporation was established in 1997 with a specific mission to create a unique management decision tool that helps…
Unrated
At cultivate, we help organizations and decision-makers reduce uncertainty. Our mission is to provide clarity on the future by…
Unrated
Demand sage is no longer available. Thank you everyone for your support, and we hope to see you again in the future.
Unrated
Unrated
Narrative science, a Salesforce company
Unrated
Mspcfo helps it services firms understand the business reasons for financial performance. We identify the relative profitability…
Unrated
Omniom helps organizations increase revenue streams with strategic data driven consulting services focused on enhancing direct…
Unrated
Percolata helps retailers optimize their retail sales teams giving retailers up to a 30% sales uplift using the same labor…
Unrated
Qflow.AI is a next-gen strategic planning and analysis solution focused on revenue. It automatically assembles go-to-market…
Unrated
Analyze every call to identify operational or service-based issues before you lose customers, automate coaching for all your…
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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.