7 Best Sales Analytics Software Tools for B2B Teams in 2026

Your sales team is working hard. The question is: are they working on the right things? Without data, you're making quota decisions based on gut instinct — and in B2B sales, that's an expensive habit. Sales analytics software turns raw activity data, pipeline movement, and prospect engagement signals into clear answers about what's working and what's leaking revenue.

This guide reviews the seven best sales analytics tools for B2B teams in 2026, covering everything from conversation intelligence to AI-personalized video engagement tracking.

What Is Sales Analytics Software?

Sales analytics software is a category of tools that collect, process, and visualize data from your sales team's activities, pipeline, and prospect interactions — so you can see exactly where deals stall, which reps need coaching, and what outreach approaches produce revenue. In short: it answers "why are we hitting or missing quota?" with data instead of guesswork.

The category spans several distinct tool types, each measuring a different layer of the sales process:

• CRM analytics — Pipeline stage distribution, deal velocity, win/loss rates, and rep activity logged in your CRM (e.g., HubSpot, Salesforce).
• Conversation intelligence — AI analysis of recorded sales calls to surface talk-to-listen ratios, competitor mentions, and deal risk signals (e.g., Gong, Chorus).
• Revenue forecasting — Predictive models that project close likelihood for each deal based on engagement signals and historical patterns (e.g., Clari).
• Activity intelligence — Automated logging of all rep activity (emails, calls, meetings) matched to deals to show which efforts correlate with closed revenue (e.g., People.ai).
• Engagement analytics — Per-prospect tracking of how they interact with outreach content — emails opened, links clicked, videos watched, time spent (e.g., Salesloft, Sendspark).

According to Salesforce's State of Sales report, high-performing sales teams are 4.9x more likely to use analytics in their decision-making compared to underperformers. Yet most B2B teams still rely on manual CRM reports that show what happened, not why it happened.

The gap matters. A rep can send 50 cold outreach videos in a week. CRM analytics tells you 50 videos were sent. Engagement analytics tells you that 12 prospects watched all the way through and 3 clicked the CTA — and those 3 are the ones worth prioritizing for a follow-up call today.

How We Evaluated These Sales Analytics Tools

We evaluated each tool across five criteria most relevant to B2B sales teams of 5 to 50 reps: depth of analytics (what signals each tool actually measures), CRM integration (bidirectional sync vs. read-only), ease of onboarding for managers and reps, transparent pricing, and verified G2 ratings from sales professionals. We excluded enterprise-only tools with no self-serve option and tools without direct CRM integration.

No vendor paid for placement in this review. Ratings reflect the product as of Q1 2026.

The 7 Best Sales Analytics Software Tools for 2026

1. Gong — Best for Conversation Intelligence

Gong records, transcribes, and analyzes every sales call and video meeting, then surfaces patterns that correlate with won deals. Its AI identifies when a competitor is mentioned, when pricing objections arise, and whether follow-through commitments are being made and kept. Deal boards show pipeline health with AI-generated risk scores for each open deal.

• Analytics focus: Call and meeting intelligence, deal risk scoring, rep coaching moments
• CRM integration: Salesforce, HubSpot (bidirectional)
• G2 rating: 4.7/5 (6,000+ reviews)
• Best for: Teams with 10+ AEs doing product demos and discovery calls
• Pricing: Custom; typically $100–140/user/month at scale

Where it falls short: Gong is call-centric. It tells you what happened on the phone but cannot track how prospects engage with your outreach before they ever get on a call — the top-of-funnel visibility gap.

2. Clari — Best for Pipeline Forecasting

Clari specializes in revenue operations analytics: which deals will close this quarter, where is pipeline leaking, and how accurate is each rep's forecast. Its AI ingests CRM data, rep activity, and historical close patterns to generate a probability-weighted forecast that's typically more accurate than manager-submitted numbers.

• Analytics focus: Pipeline health, forecast accuracy, revenue leak detection
• CRM integration: Salesforce, HubSpot
• G2 rating: 4.6/5 (1,500+ reviews)
• Best for: Revenue operations managers and VP Sales needing accurate quarterly forecasts
• Pricing: Custom enterprise; contact for quote

Where it falls short: Clari is most powerful when there's at least 6 months of clean CRM data to train its models on. New teams or teams with inconsistent CRM hygiene see limited value early on.

3. HubSpot Sales Hub — Best Free Sales Analytics for SMBs

HubSpot Sales Hub provides CRM-native analytics covering deal stage conversion rates, rep activity reports, email open and click rates, and sequence performance — all on a free tier for small teams. Paid tiers add deal forecasting, custom reporting, and call transcription. Because analytics live inside the CRM, there's no data sync required — the numbers are always current.

• Analytics focus: Deal pipeline, email engagement, rep activity, sequence performance
• CRM integration: Native (it IS the CRM)
• G2 rating: 4.4/5 (11,000+ reviews)
• Best for: SMBs and startups already using HubSpot CRM; best entry point for analytics without additional spend
• Pricing: Free tier available; Sales Hub Starter from $20/user/month; Professional from $100/user/month

Sendspark's HubSpot integration adds video engagement analytics directly to HubSpot contact records — so when a prospect watches your AI-personalized video, that signal appears in the same dashboard where you're already tracking email opens. Sendspark is rated 5/5 by HubSpot users.

4. Salesforce Einstein — Best for Enterprise CRM Analytics

Salesforce Einstein brings AI-powered analytics to the Salesforce platform: predictive lead scoring, opportunity health signals, activity summaries, and Einstein Conversation Insights for call intelligence. For teams already deeply invested in Salesforce, Einstein is the highest-trust analytics layer because it draws from the richest CRM data set available.

• Analytics focus: AI lead scoring, opportunity forecasting, call intelligence, pipeline management
• CRM integration: Native Salesforce
• G2 rating: 4.2/5 (3,000+ reviews)
• Best for: Enterprise teams with 25+ reps, existing Salesforce investment, complex deal cycles
• Pricing: Included in Salesforce Enterprise and above; Einstein add-ons from $50/user/month

Sendspark's Salesforce integration pipes video open rates and watch-time data into Salesforce records, complementing Einstein's predictive scoring with real engagement signals from video outreach.

5. Salesloft — Best Sales Engagement Analytics

Salesloft combines a sales engagement platform (email sequences, dialer, LinkedIn tasks) with analytics that show how each touchpoint performs across your entire team. You can see which email subject lines drive replies, which call scripts lead to booked meetings, and which rep workflows produce the most pipeline. Cadence analytics let managers A/B test outreach at scale and roll winning plays out to the whole team.

• Analytics focus: Cadence performance, email effectiveness, call outcomes, rep productivity benchmarking
• CRM integration: Salesforce, HubSpot (bidirectional)
• G2 rating: 4.5/5 (3,700+ reviews)
• Best for: SDR-heavy teams running structured outreach cadences who need step-by-step performance data
• Pricing: Custom; contact for quote

6. People.ai — Best for Activity Intelligence

People.ai automatically captures every rep activity — emails sent, calls made, meetings attended — and maps them to the right deal, account, and contact in your CRM without manual logging. Its analytics then show which activity patterns correlate with closed deals, which accounts are going cold (no contact in 30 days), and where manager coaching intervention is needed. According to People.ai's published customer data, teams using the platform reduce CRM data gaps by over 90%.

• Analytics focus: Automated activity capture, relationship mapping, account health scoring, coaching signals
• CRM integration: Salesforce, HubSpot
• G2 rating: 4.4/5 (500+ reviews)
• Best for: RevOps teams struggling with incomplete CRM data and inconsistent rep logging
• Pricing: Enterprise; contact for quote

7. Sendspark — Best for Video Engagement Analytics

Sendspark's video analytics tracks what happens after you hit send: who opened the video, how many seconds they watched, whether they reached the CTA, and whether they clicked through. Every metric is per-recipient — not aggregate — so you can see that this prospect watched your video three times but didn't click, and tailor your follow-up accordingly. Combined with Sendspark's AI voice cloning and dynamic backgrounds, you're not just sending videos — you're sending AI-personalized videos and getting real-time behavioral data back for every prospect.

This is the layer most CRM analytics tools miss entirely. Email analytics shows opens and clicks. Gong analyzes calls after they happen. Sendspark surfaces intent signals from outreach before prospects reply — showing you who's warm before you spend time on a follow-up call.

• Analytics focus: Per-recipient video open rate, watch time, completion rate, CTA click-through
• CRM integration: HubSpot (5/5 rated), Salesforce, Outreach, SalesLoft, and 50+ integrations
• G2 rating: 4.8/5 (350+ reviews)
• Best for: B2B sales teams using AI-personalized video outreach who want engagement signals for prioritization and follow-up
• Pricing: Solo from $49/mo; Growth from $99/mo (includes API and agentic workflows)

"We used Sendspark's video analytics to identify which prospects had watched our AI-personalized video more than once. Those were the first calls we made every morning — and they converted at 3x our average rate."

Sendspark also integrates with the deal progression workflow — so reps can trigger video sends from within existing CRM sequences and see the engagement data in their existing tools. Over 50,000 companies use Sendspark to see 200-300% increases in email response rates with AI-personalized video outreach.

Quick Comparison: Sales Analytics Software at a Glance

Here's how all seven sales analytics tools compare across the criteria that matter most to B2B sales teams:

How to Choose the Right Sales Analytics Software

The right sales analytics tool depends on the specific data gap costing you deals. Start by identifying your biggest blind spot, then match it to the tool category that addresses it directly.

Start with your biggest blind spot

Most teams don't need all seven tools at once. They need to fix one thing. The fastest way to choose is to answer: "Where do deals die, and do I actually know why?" If the answer is call performance, start with Gong. If it's forecast accuracy, start with Clari. If it's outreach engagement — who's actually warming up in your pipeline — start with Sendspark's sales prospecting analytics.

Match your tech stack

Every tool on this list integrates with HubSpot and Salesforce, but the depth of integration varies. CRM-native tools (HubSpot Sales Hub, Salesforce Einstein) have zero sync latency since they live inside the CRM. Third-party tools (Gong, Clari, People.ai) sync on a schedule — usually every 5-15 minutes — which matters for real-time pipeline reviews. For teams using Outreach or Salesloft as their engagement layer, check whether the analytics tool integrates at the sequence level, not just the CRM level.

Factor in team size and budget

For teams under 10 reps, HubSpot Sales Hub's free analytics tier is a logical starting point. At 10-50 reps, a conversation intelligence tool like Gong pays for itself quickly through improved coaching. For video outreach teams, Sendspark's Growth plan at $99/month provides full video analytics for up to 3 reps — a low-cost way to add engagement signals that CRM analytics simply cannot provide. You can review all Sendspark plans on the pricing page.

Prioritize tools that surface signals, not just reports

There's a meaningful difference between analytics tools that generate reports and those that surface signals. A report tells you what happened last week. A signal alerts you in real time that a prospect watched your video for the third time this morning, or that a high-value deal went 14 days without activity. The best sales metrics to track are those that trigger action — and your analytics software should help you get there faster.

McKinsey's research on AI adoption in B2B sales found that teams using AI-powered analytics to prioritize outreach saw measurable improvements in pipeline conversion within the first quarter of adoption — largely because they spent more time on warm prospects and less time on cold outreach with no engagement signals.

Summary: Which Tool for Which Team

Looking at the stages of your sales pipeline is often the best way to identify where analytics will have the most impact — different stages benefit from different tool types.

Frequently Asked Questions

What is sales analytics software?

Sales analytics software collects data from your CRM, communications, and outreach tools to show pipeline health, rep performance, deal risk, and engagement signals. It helps sales managers and reps understand what's working and prioritize the activities most likely to produce revenue.

What is the best sales analytics software for small teams?

For teams under 10 reps, HubSpot Sales Hub's free tier provides solid pipeline, email, and rep activity analytics without additional spend. Sendspark is the best add-on specifically for video outreach analytics, starting at $49/month for a single seat with full engagement tracking.

How does sales analytics software integrate with CRM?

Most sales analytics tools offer bidirectional CRM sync with Salesforce and HubSpot. Native tools (HubSpot Sales Hub, Salesforce Einstein) are built inside the CRM and have no sync delay. Third-party platforms like Gong and Clari sync on a 5-15 minute schedule. Always verify whether the integration supports bidirectional writes or is read-only before purchasing.

What sales metrics should analytics software track?

Core metrics include deal win rate, pipeline coverage ratio, average sales cycle length, deal velocity, and rep activity rates. High-performing teams also track engagement metrics like email reply rates, video watch time, and CTA click-through rates — signals that reveal prospect intent before they show up as a CRM stage change.

How is video engagement analytics different from CRM analytics?

CRM analytics tracks activities logged by reps — calls made, emails sent, meetings booked. Video engagement analytics tracks prospect behavior: whether they opened your video, how long they watched, and whether they clicked the CTA. This is real-time behavioral intent data, not rep-logged activity data. Tools like Sendspark surface this engagement in your CRM so it informs prioritization.

Can I use multiple sales analytics tools together?

Yes — most B2B sales teams at scale use 2-3 analytics tools in combination. A common stack is HubSpot or Salesforce (CRM-native analytics) + Gong (conversation intelligence) + Sendspark (video engagement analytics). Each tool measures a different layer of the sales process, and the data flows into the CRM so managers get a unified view.

Is sales analytics software worth the investment?

According to Salesforce's State of Sales research, high-performing teams are significantly more likely to use analytics tools in their decision-making than underperformers. The ROI shows up fastest in reduced time-to-identify-coaching-opportunities, improved forecast accuracy, and better outreach prioritization — all of which directly affect quota attainment.