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Perplexity (Sonar Pro)June 6, 2026Pipedrive mentioned

What are the most popular sales analytics software in 2026?

Full AI Response

The most consistently cited **popular sales analytics platforms in 2026** are Salesforce (Agentforce/Sales Cloud + CRM Analytics), HubSpot Sales Hub, Zoho (CRM/Analytics), Gong, Clari, Pipedrive, ThoughtSpot, and Mode, with Salesforce/Agentforce and HubSpot appearing at the top of nearly all comparison lists.[1][2][4][6][7][9]

Below is a synthesis across major 2026 rankings (G2, vendor and analyst blogs) to highlight the tools that repeatedly show up as leaders or “best” choices.

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### 1. Salesforce / Agentforce Sales (formerly Salesforce Sales Cloud)

- Ranked as **Leader** and **Best Free Software** in G2’s 2026 sales analytics category under the name **Agentforce Sales (formerly Salesforce Sales Cloud)**.[1]

- Frequently listed as a top or #1 sales analytics solution in independent “best tools” roundups.[7][9]

- Salesforce’s own stack combines **Sales Cloud**, **CRM Analytics (formerly Einstein Analytics)** and often **Tableau** for deeper BI, giving it a broad, enterprise‑grade analytics offering.[4]

**Why it’s popular in 2026**

- Deeply embedded in the global CRM market, so analytics adoption rides on existing Salesforce installs.

- Strong **AI‑driven forecasting, pipeline analytics, and dashboards** across reps, teams, and regions.[4][9]

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### 2. HubSpot Sales Hub

- Listed as a **top‑rated sales analytics product** for 2026 on G2.[1]

- Included in multiple “best sales analytics software” lists for 2026.[2][6][7]

- Known for combining CRM + sales engagement + reporting in a single interface.[2][6]

**Why it’s popular**

- Strong adoption among SMBs and mid‑market companies seeking an **all‑in‑one CRM + analytics** platform.

- Native **deal, pipeline, revenue, and activity reports** without requiring a BI tool.[2][6]

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### 3. Zoho CRM / Zoho Analytics

- **Zoho CRM** appears as a top‑rated tool on G2’s 2026 sales analytics category.[1]

- Featured in ThoughtSpot’s “Top sales analytics software for 2026.”[2]

- Zoho CRM offers built‑in **reporting and analytics** for sales performance and pipeline metrics.[2]

**Why it’s popular**

- Competitive pricing and an integrated suite (CRM, analytics, email, etc.) appeal to cost‑sensitive teams.

- Good **custom reporting** and dashboards for sales KPIs out of the box.[2]

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### 4. Gong

- Identified by G2 as the **top trending** product in the sales analytics category.[1]

- Frequently listed among the best sales analytics tools because of its **conversation intelligence and pipeline insights**.[7][8][9]

**Why it’s popular**

- Goes beyond basic CRM reporting by analyzing **calls, emails, and meetings** for win‑loss patterns.

- Used heavily by teams focused on **rep coaching, deal health, and forecast accuracy**.[7][9]

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### 5. Clari

- Regularly appears on “best sales analytics / revenue intelligence” lists.[7][8][9]

- Focuses on **pipeline management, forecasting, and revenue analytics**.

**Why it’s popular**

- Adopted by many revenue operations teams for **forecasting and risk detection** across large pipelines.

- Strong positioning as a **revenue operations / RevOps** platform rather than just CRM reporting.[7][9]

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### 6. Pipedrive

- Listed as a top‑rated sales analytics product in G2’s 2026 category.[1]

- Highlighted as a top pick in “Best Sales Analytics Software for 2026,” especially for sales‑focused teams.[6]

**Why it’s popular**

- Simple, **pipeline‑first CRM** with easy‑to‑understand sales dashboards.

- Attractive to smaller and mid‑market teams that want intuitive analytics without heavy configuration.[6]

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### 7. ThoughtSpot

- Ranked #1 in ThoughtSpot’s own “Top sales analytics software for 2026” list.[2]

- Provides **search‑driven and AI‑driven analytics** that sit on top of sales and revenue data.[2]

**Why it’s popular**

- Lets business users type questions and get charts/answers without writing SQL.

- Often used in more data‑mature organizations that centralize sales data in a warehouse or lake.[2]

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### 8. Mode

- Listed as a top sales analytics tool for 2026 in ThoughtSpot’s overview.[2]

- Emphasized as “preferred for data teams,” with a notebook interface and visual explorer for advanced analysis.[2]

**Why it’s popular**

- Strong fit for **data‑driven organizations** where analysts support sales leadership with custom models.

- Good for mixing **SQL, Python/R, and visualization** in one environment.[2]

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### 9. Tableau (often paired with Salesforce)

- Named among the best sales analytics tools in multiple 2026 lists.[7][9]

- Salesforce promotes **Tableau** as part of its broader sales analytics stack.[4]

**Why it’s popular**

- Widely adopted **BI platform** used to build custom sales dashboards on CRM, ERP, and data‑warehouse sources.

- Flexible for complex enterprise reporting across sales, marketing, and finance.[4][7]

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### 10. Other frequently mentioned 2026 sales analytics tools

These appear across several “best of 2026” guides and niche rankings.[5][6][7][8][9]

- **BIGContacts** – Highlighted as a top pick in some 2026 rankings for small teams.[6]

- **SimplyDepo** – Positioned as a **retail execution + sales analytics** platform for field teams.[5]

- **Praiz, ZoomInfo, InsightSquared and similar RevOps tools** – Often cited for **pipeline, forecasting, and rep performance analytics** rather than generic CRM reporting.[8][9]

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### How “most popular” is being inferred

Because there is no single global “market share of sales analytics tools” dataset in the search results, popularity here is inferred from tools that:

1. **Appear repeatedly across 2026 rankings** (G2, vendor blogs, independent reviews).[1][2][5][6][7][8][9]

2. Are labeled as **leaders, top‑rated, or top trending** on G2 for the sales analytics category.[1]

3. Have broad CRM/BI adoption and are presented by vendors as dominant platforms in sales analytics (Salesforce/Agentforce, HubSpot, Zoho, Tableau).[1][2][4][7][9]

If you share your company size, tech stack (e.g., already on Salesforce or HubSpot), and main analytics needs (forecasting vs. conversation intelligence vs. self‑service BI), I can narrow this down to a short list of 3–5 options that are most appropriate for your specific situation.