Competitive Analysis Template (free)

Structure your competitor research into clear themes and actionable insights so your team can make faster, more confident product and strategy decisions.

Template components

Competitor Overview
Summarize each competitor's core positioning, target customer, and primary value proposition in one or two sentences.
Example: Competitor: Gong.io — Targets mid-market B2B sales teams, positioned as a revenue intelligence platform that uses AI to surface deal risks from call recordings. Primary differentiator is deep CRM integration and deal forecasting.
Feature & Pricing Comparison
List the key features each competitor offers, note pricing tiers, and flag where your product is ahead, behind, or equivalent.
Example: Competitor: Chorus.ai — Offers call recording, AI summaries, and coaching workflows. Pricing starts at ~$8k/year per team. Gap identified: no automated qualitative theme clustering; summaries are transcript-level only, not insight-level. We are ahead on synthesis depth, behind on CRM native integrations.
Customer Sentiment & Review Themes
Capture recurring themes from competitor reviews on G2, Capterra, or Reddit — note what customers love, what they complain about, and what they wish existed.
Example: Competitor: Clari — Loves: accurate pipeline forecasting, exec-friendly dashboards. Complaints: steep onboarding curve, poor support responsiveness, weak qualitative feedback analysis. Wish list: easier tagging of call themes without manual effort, better integration with user research tools.
Strategic Gaps & Opportunities
Based on the above sections, identify the whitespace your product can own — unmet needs, underserved segments, or positioning angles competitors are missing.
Example: Opportunity: No major competitor in the revenue intelligence space offers automated qualitative theme analysis across calls AND surveys in one workflow. Teams doing voice-of-customer research alongside sales analysis are stitching together 3–4 tools. Positioning angle: the first platform that unifies qualitative feedback synthesis across both sales and research use cases for product and strategy teams.

Full Copyable Template

How to use it

  1. Gather your raw inputs
    Pull together competitor websites, G2/Capterra reviews, pricing pages, sales call notes, and any win/loss interview data you have before filling in the template.
  2. Complete one competitor at a time
    Work through all four sections for a single competitor before moving to the next so you maintain consistent depth and avoid skipping hard-to-find data points.
  3. Look for patterns across competitors
    Once all competitors are filled in, read across the rows horizontally to spot recurring customer complaints, shared feature gaps, or converging positioning that reveals market whitespace.
  4. Prioritize two to three actionable opportunities
    Translate your gaps section into ranked opportunities with a clear owner, a next action, and a target date so the analysis moves from a document into a decision.

What it looks like filled in

Competitors lack qualitative synthesis
"We use Gong for call recording but someone still has to read every transcript and manually tag themes — it takes our research team half a day every sprint."
→ Lead with automated theme clustering as the primary differentiator in sales messaging targeting research-heavy product teams
Onboarding friction is a shared weakness
"Chorus took us three months to fully roll out and we still don't feel like we're using it to its potential — the setup is just really heavy."
→ Build a fast time-to-first-insight onboarding flow and use it as a competitive proof point in trials and case studies
Strategy teams are an underserved buyer
"Our competitive intel ends up in a slide deck that took two weeks to make and is already outdated by the time leadership sees it."
→ Target strategy and product ops personas explicitly in paid and content channels, not just UX researchers or sales enablement teams

Why teams skip the template

  • Manually reading hundreds of competitor reviews
    Scanning G2, Capterra, and Reddit thread by thread to extract themes takes hours and introduces selection bias based on which reviews you happen to notice.
  • Re-synthesizing every time new data comes in
    Every new round of win/loss interviews or review data means starting the template over, making it nearly impossible to track how competitor perception shifts over time.
  • Subjective theme naming and inconsistent tagging
    When multiple team members contribute to the same template, theme labels drift and duplicate insights pile up, making the final output harder to act on and easy to debate in reviews.

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