Sales teams in 2025 swim in data while still missing clear answers about performance. You get dashboards from the CRM, call recordings, spreadsheet forecasts, and ten different conversion reports. Without proper sales analytics software, that information becomes noise instead of a reliable guide for decisions. I have watched smart sales leaders argue for weeks while a single good report could end the debate. So this guide looks at the tools that actually help answer hard questions and close more deals.
We will walk through eighteen of the best sales analytics platforms that deserve a spot on your shortlist. PrettyInsights comes first because it blends website and product analytics with revenue reporting in a way I enjoy.
After that you will see well known names like Salesforce, HubSpot, and some newer revenue intelligence players. By the end you should know which tools match your pipeline, sales cycle, and slightly impatient personality.
What is sales analytics software
Sales analytics software turns raw activity data into insight about pipeline health, forecast accuracy, and overall revenue performance. Instead of just logging calls and emails, good platforms show patterns behind win rates, deal slippage, and rep productivity. In plain words, they answer questions like which segments buy fastest or which stage kills your best opportunities. When I first connected proper sales reporting, I realised the pipeline was not slow, it was clogged.
That revelation changed the conversation from vague complaints to specific discussions about stalled deals and missing steps. So think of these tools as microscopes for your revenue engine rather than another boring dashboard package.
Under the hood
Under the hood, most platforms combine data from your CRM, email tools, call records, and sometimes marketing analytics. They clean this information, apply models or scoring logic, and then present trends through charts and tables. Some focus on forecasting and pipeline, others focus on conversation intelligence, while some behave more like full business intelligence stacks.
Your job is not to worship features but to decide which insights actually change sales behaviour inside your company.
How to choose sales analytics software
Before you start comparing logos, write down the questions you really want your sales analytics platform to answer. Maybe you struggle with forecast accuracy, or you suspect reps ignore high value leads from specific campaigns. Others worry about discount levels, renewal risk, or slow movement between early and middle pipeline stages. When I skip this exercise, every vendor demo feels impressive yet strangely irrelevant two days later. Clarifying problems first keeps you honest when fancy artificial intelligence charts try to hypnotise you.
Budget, team skill level, and data maturity matter as much as curves on the features page. If nobody in the company can build a basic report, a complex platform will just collect dust. I like to imagine dusty software quietly judging us from the server rack, and it is not a nice feeling.
Some quick factors to evaluate when comparing platforms:
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Data sources supported and how easily they connect without constant technical help.
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Depth of forecasting and pipeline reports compared with your current spreadsheet approach.
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User experience for reps and managers who must check dashboards every day.
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Ability to drill from summary numbers into specific deals and activities.
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Pricing that matches your stage rather than your ego.
18 Best sales analytics software
1. PrettyInsights
PrettyInsights is a sales and revenue analytics platform that connects website behaviour, product events, and deal data in one view. You can see how marketing sources and in app actions correlate with opportunities, pipeline stages, and closed revenue. For sales leaders this means fewer arguments about lead quality and more evidence driven conversations with marketing and product. I like that PrettyInsights gives granular funnels and cohorts without forcing you to hire a full time analyst.
If you want one place to understand which campaigns and features create paying customers, this tool deserves first place.
2. HubSpot Sales Hub
HubSpot Sales Hub offers sales analytics baked into a complete CRM, so data capture and reporting live in the same system. You get pipeline views, conversion reports, and forecasting dashboards that help growing teams stay honest about targets. Because marketing, customer success, and sales share one database, you can slice performance by channel, segment, or lifecycle stage. In my experience it works especially well for companies that want automation, outreach, and analytics under one login.
3. Salesforce Sales Cloud with Einstein
Salesforce Sales Cloud with Einstein analytics targets teams that want deep forecasting, territory planning, and detailed pipeline inspection. It combines your usual CRM records with artificial intelligence models that highlight risky deals and promising opportunities. Leaders can drill from top line numbers down into specific accounts to understand what drives wins or losses. The ecosystem of add ons and reports is enormous, which feels exciting and slightly terrifying during the first month. I usually recommend Salesforce when sales operations already has enough people to manage configuration and training properly. Otherwise the sheer power can end up hiding simple truths about your funnel behind endless custom objects.
4. Zoho CRM
Zoho CRM delivers sales analytics alongside contact management, pipeline tracking, and automation for teams that want value and flexibility. It offers custom dashboards, territory reports, and forecasting views that help managers understand performance at every stage. The marketplace of extensions lets you enrich data with calls, chat, and marketing responses without heavy custom development. If you like tinkering and want a budget friendly sales analytics stack, Zoho often deserves a serious trial.
5. Pipedrive
Pipedrive focuses on visual pipelines and simple analytics that keep smaller sales teams organised and honest about deals. Its reports show conversion rates between stages, deal velocity, and activity metrics so you can coach reps effectively. Because everything centers on the pipeline view, adoption tends to be strong even among people who hate complex tools. I have seen founders go from whiteboard chaos to sensible forecasts within a single quarter using it. For teams graduating from spreadsheets, Pipedrive offers a friendly first step into serious sales analytics.
6. Freshsales
Freshsales from Freshworks pairs CRM features with analytic views that highlight deals, touch points, and revenue trends across your pipeline. Scoring rules, engagement timelines, and reports give managers a quick sense of which accounts deserve attention today. If you want something modern that still feels familiar to CRM users, this one fits very nicely
7. Salesmate
Salesmate combines sales automation with strong reporting that covers activities, pipeline, and revenue across multiple channels. You can track team performance with leaderboards, monitor goals, and set up alerts for stalled or neglected deals. The interface feels modern and clean, which makes adoption easier when your sellers already juggle a dozen tools. In one company I worked with, simply using the alerts feature reduced forgotten follow ups by a scary percentage. Salesmate suits teams that want automation and analytics in one place without committing to huge enterprise contracts.
8. Zendesk Sell
Zendesk Sell focuses on simple pipelines, contact management, and sales analytics that tie into the wider Zendesk ecosystem. You can see activity timelines, conversion trends, and goal tracking dashboards without leaving the core CRM views. For teams already using Zendesk for support, adding Sell creates a single source of truth for customer conversations. That continuity often reveals upsell opportunities because support tickets suddenly sit beside revenue data instead of hiding in another system.
9. Copper
Copper is a CRM built especially for Google Workspace users, and its sales analytics work nicely inside that environment. It automatically pulls context from Gmail and Calendar, then surfaces pipeline and activity reports with minimal manual data entry. I like it for smaller teams that live in Google tools all day and hate jumping between tabs. Reporting stays focused on opportunities, activities, and contact health rather than trying to cover every analytics scenario. The result is a clean set of dashboards that sales managers actually check more than once a month. If you need advanced modelling you might pair Copper with another analytics layer, but many teams never feel that need.
10. Clari
Clari is a revenue intelligence platform that focuses heavily on forecast accuracy and pipeline visibility for complex sales organisations. It pulls data from your CRM, emails, and calendars, then flags risk patterns inside deals and territories. Executives get a live forecast view, while frontline managers see which opportunities require coaching or additional support. In high stakes environments where misses are expensive, Clari often replaces spreadsheet based forecasting entirely.
11. Gong
Gong is best known as conversation intelligence software, yet it functions as powerful sales analytics once calls are recorded. It analyses meetings, emails, and messages to show talk ratios, objection patterns, and behaviours that correlate with wins. Leaders can review deals with a timeline that combines communication history and deal stage changes. I especially like the ability to share short clips as coaching material instead of repeating the same speech in every meeting. For teams that run many calls, Gong becomes a rich dataset for both qualitative and quantitative analysis.
12. Revenue Grid
Revenue Grid offers revenue intelligence and sales analytics that focus on guiding reps toward the next best action. It syncs emails, calendars, and CRM data, then suggests steps, sequences, or playbooks based on proven patterns. If you want analytics that directly inform daily workflow, rather than just showing lagging charts, this platform fits well.
13. Nutshell
Nutshell is a CRM aimed at business to business teams, with reporting that highlights pipeline, activities, and performance trends. Dashboards bring together leads, opportunities, and revenue by source so marketing and sales can share one version of reality. Automation rules handle repetitive tasks while analytics show which sequences and campaigns contribute most to growth. For teams that want straightforward reports without enterprise level complexity, Nutshell provides a comfortable middle ground.
14. Countly
Countly started as product analytics but now supports customer journeys that combine marketing, product, and sales outcomes. You can track events across web and mobile experiences, then connect these behaviours to lead scores and revenue. For sales teams working closely with product led growth, this bridge between usage and opportunity value becomes extremely important. I have seen teams use Countly to spot feature adoption patterns that predict large expansion deals months in advance. That kind of early signal gives account managers a welcome excuse to call rather than just send another template email. If you care deeply about customer usage as part of the sales process, Countly deserves attention.
15. People.ai
People.ai gathers data from emails, calendars, and CRM, then uses artificial intelligence to fill gaps and analyse sales activities. It automatically logs interactions, scores opportunities, and highlights patterns that separate top performers from the rest. Leaders gain visibility into how time is spent across accounts and segments rather than relying on guesswork. If your reps complain about data entry, People.ai can rescue both your forecasts and their patience.
16. Salesloft
Salesloft is best known for cadences and outreach, yet its analytics give a deep view into sequence performance and pipeline impact. You can see reply rates, meeting booked rates, and conversion to opportunity from each step in a sequence. Leaders understand which messages move deals forward rather than relying on anecdotes from the loudest reps. I like using Salesloft data to prune bloated cadences down to the few steps that actually create pipeline. When paired with a strong CRM, its analytics sharpen both outreach strategy and forecast confidence.
17. Microsoft Power BI
Microsoft Power BI is a general business intelligence tool that many companies use for advanced sales analytics dashboards. It connects to your CRM, financial systems, and other databases, then lets analysts shape custom models and visualisations. If you have reporting specialists on staff, Power BI can become the central hub for every revenue discussion.
18. Tableau
Tableau is another business intelligence platform that excels at visualising complex sales data from many systems in one place. Teams use it to build interactive dashboards that slice performance by region, segment, product line, and account owner. With the right data model, Tableau can support detailed funnel analysis, quota tracking, and territory planning. I usually recommend it for organisations that already have a data culture and want beautiful, flexible sales analytics. For everyone else, it may be better to start with a simpler embedded reporting tool and grow later.
Conclusion
Choosing among these sales analytics platforms can feel overwhelming, yet the core decision stays surprisingly simple. You want the tool that answers your hardest revenue questions clearly enough that behaviour actually changes. In practice that means picking software your team will adopt, trust, and consult before important calls and reviews. PrettyInsights shines when you care about connecting website, product, and sales data in one consistent picture. Other tools on this list bring strengths in forecasting, outreach, automation, or enterprise level modelling. The right answer may even combine a primary platform like PrettyInsights with one specialist tool that fills a specific gap.
Whichever route you choose, start small with a clear set of questions and a few must win deals. Instrument those clearly, review results weekly, and adjust both process and configuration based on evidence. Over time the numbers will begin to tell a story about your market, your team, and your customers. Once that happens, you may even look forward to pipeline meetings, which is a sentence I never expected to write.
If your new analytics stack still cannot explain why one rep always beats quota, just assume they secretly cloned themselves.