If you've been evaluating Pocus for your sales team, the first question you probably ran into is: how much does it cost? The answer isn't straightforward. Pocus doesn't publish pricing on its website, and the only way to get a number is to book a demo and talk to their sales team.
That lack of transparency is common in the sales intelligence space, but it makes planning a budget frustrating. This guide breaks down everything we know about Pocus pricing in 2026, what the platform actually does, where it falls short, and how it compares to alternatives that take a different approach to account intelligence.
TL;DR: Pocus doesn't publish pricing. Based on market positioning and comparable tools, expect custom enterprise quotes starting in the mid-five-figure range annually. The platform focuses narrowly on product-led growth (PLG) signals and AI-powered rep prioritization. Teams that sell outside the PLG motion, or need broader signal coverage, should evaluate alternatives with transparent pricing and wider intelligence capabilities.
Key Takeaways
- Pocus uses custom enterprise pricing with no public plans, no free tier, and mandatory annual contracts. You must talk to sales for a quote.
- The platform is purpose-built for product-led growth companies, using product usage data to score accounts and prioritize sales outreach.
- Pocus raised $26.5M in funding and holds a 4.6/5 G2 rating from approximately 70 reviews.
- The narrow PLG focus means Pocus misses business signals like earnings calls, leadership changes, M&A activity, and hiring trends that drive enterprise and mid-market deals.
- Teams needing full-spectrum account intelligence should compare Pocus against platforms that cover all signal types, not just product usage data.
- Transparent alternatives exist, including platforms that charge flat annual rates with no per-seat fees and cover 1,000+ signal sources.
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What Pocus Does
Pocus is an AI-powered platform designed for product-led sales teams. Founded in 2021, the company has raised $26.5M in venture funding and built a focused tool that sits at the intersection of product analytics and sales execution.
The core idea is straightforward: if your company has a free or self-serve product tier, Pocus ingests your product usage data and uses AI to identify which free users or trial accounts are most likely to convert to paid. It then surfaces those accounts to sales reps with prioritized action lists.
Here's what the platform offers:
- Product usage signal tracking — Monitors how users interact with your product (feature adoption, usage frequency, team size growth) and flags accounts showing buying intent.
- AI-powered scoring — Ranks accounts based on conversion likelihood so reps focus on the highest-potential opportunities.
- Sales rep prioritization — Creates personalized playbooks and action items for each rep, reducing the time spent deciding who to call next.
- CRM integration — Syncs with Salesforce, HubSpot, and other CRMs to keep account data current.
- Workflow automation — Triggers sequences and tasks based on product usage milestones.
For companies running a true PLG motion with significant self-serve volume, Pocus solves a real problem. The challenge is what happens when your sales motion extends beyond product usage data.
“The moment we turned on Salesmotion, it became essential. No more hours on LinkedIn or Google to figure out who we're talking to. It's just there, served up to you, so it's always 'go time.'”
Adam Wainwright
Head of Revenue, Cacheflow
Pocus Pricing: What We Know
Pocus keeps its pricing entirely behind a sales conversation. There are no public pricing pages, no listed plans, and no self-serve signup. Here's what the available information tells us.
Pricing Model
| Aspect | Details |
|---|---|
| Public Pricing | Not available |
| Free Plan | None |
| Trial | Not offered (demo only) |
| Billing | Annual contracts |
| Pricing Model | Custom quotes, likely per-seat or usage-based |
| Estimated Range | Mid-five figures annually (based on market positioning) |
What Drives the Price
Without published tiers, Pocus likely adjusts pricing based on several factors:
- Number of seats — Most sales platforms in this category charge per user, typically $100-$300 per seat per month at the enterprise level.
- Data volume — The number of product events and accounts being tracked affects infrastructure costs.
- Integrations — Connecting to multiple data sources, CRMs, and downstream tools may carry additional fees.
- Contract length — Longer commitments often unlock lower per-seat rates.
Why Pocus Hides Pricing
Pocus isn't alone in this approach. According to Gartner's 2025 analysis of B2B software buying trends, over 60% of enterprise sales software vendors use custom pricing models. The strategy lets vendors maximize deal size by tailoring quotes to each buyer's perceived budget and urgency.
For buyers, this means two things: you'll need to invest time in a sales process before getting a number, and your negotiating position matters. Companies evaluating multiple vendors simultaneously tend to secure better rates.
Pocus vs. Alternatives: Pricing Comparison
Since Pocus doesn't publish pricing, the most useful comparison is against platforms that do. The table below contrasts Pocus with other tools in the sales intelligence and signal-based selling space.
| Platform | Annual Cost | Pricing Model | Signal Coverage | Best For |
|---|---|---|---|---|
| Pocus | Custom (est. $30K-$60K+) | Per-seat, custom quotes | Product usage signals only | PLG companies with self-serve products |
| Salesmotion | From $85/mo | Account-based, unlimited users on team plans | 1,000+ sources (earnings, hiring, M&A, funding, news, product launches) | Any B2B sales team needing full account intelligence |
| Common Room | Custom | Per-seat | Community + product signals | Developer-focused PLG companies |
| 6sense | Custom (est. $50K-$120K+) | Per-seat, tiered | Intent data, web activity | Enterprise ABM teams |
| UserGems | Custom (est. $30K-$50K+) | Per-seat | Job changes, champion tracking | Teams focused on relationship-based selling |
The cost gap between transparent and opaque pricing models is significant. When a vendor won't show you the price, the price tends to be high, and it tends to go higher at renewal.
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Where Pocus Falls Short
Pocus serves a specific niche well. But that niche has boundaries, and understanding them matters before you commit to an annual contract.
Narrow Signal Coverage
Pocus tracks product usage signals. That's its strength and its limitation. If a target account's CEO just changed, if the company announced a new funding round, or if their latest earnings call revealed a strategic priority that aligns perfectly with your solution, Pocus won't surface any of that.
For enterprise and mid-market sales teams, buying signals extend far beyond product usage. Leadership changes, earnings calls, hiring patterns, technology adoption, regulatory filings, and competitive moves all indicate purchase intent. A platform that only watches one signal type leaves significant pipeline on the table.
PLG Dependency
Pocus requires a product-led growth motion to function. If your company sells through outbound, events, partnerships, or traditional enterprise sales, the platform has limited value. You need a self-serve product generating usage data for Pocus to analyze.
This narrows the addressable market considerably. According to OpenView's 2024 PLG benchmarks, while PLG adoption is growing, the majority of B2B companies still rely primarily on sales-led motions. A tool that only works for one go-to-market approach limits your flexibility as your sales strategy evolves.
Pricing Opacity
The inability to see pricing before engaging in a sales process creates friction. Teams evaluating multiple platforms simultaneously, which industry data suggests is now the norm for B2B purchases, lose time coordinating demos and waiting for custom quotes when they could be comparing transparent options side by side.
Limited Account Research
Pocus excels at scoring and prioritizing. But it doesn't provide the deep account research that reps need to personalize outreach and build compelling business cases. Knowing that an account is "hot" based on product usage is valuable. Knowing why they're expanding, what their board is prioritizing, and which executives are championing the initiative is what closes deals.
For teams that need both signals and research depth, platforms focused on account intelligence offer a more complete solution.
Who Should Consider Pocus
Despite its limitations, Pocus is a strong fit for a specific profile:
- Pure PLG companies with substantial free or trial user bases that need to identify conversion-ready accounts.
- Product-led sales teams where reps primarily engage users who have already shown product interest.
- Organizations with clean product analytics infrastructure already feeding events into a data warehouse.
- Teams with large self-serve user volumes where manual review of product usage data isn't scalable.
If your company matches all four criteria, Pocus deserves a spot in your evaluation. If you're missing even one, the ROI case weakens significantly.
Alternatives Worth Evaluating
If Pocus doesn't match your sales motion, or if the pricing conversation raises concerns, here are the alternatives that make the shortlist.
Salesmotion
Unlike Pocus's product-usage-only approach, this platform delivers full-spectrum account intelligence across 1,000+ sources, including earnings calls, SEC filings, hiring data, funding announcements, leadership changes, and technology adoption signals. With flexible account-based pricing (from $85/month) and unlimited users on team plans, every rep on the team gets access to Deep Account Research, Signal-Based Selling, and Smart Prospecting capabilities.
Common Room
Common Room tracks community engagement alongside product signals. If your GTM motion relies heavily on developer communities, open-source contributions, or social engagement, Common Room adds a layer Pocus doesn't cover. Pricing is custom, but the signal set is broader than product usage alone.
6sense
For enterprise ABM teams, 6sense offers intent data and predictive analytics at scale. The platform excels at identifying anonymous website visitors and mapping buying committees. However, pricing is steep (often $50K-$120K+ annually) and the platform's complexity requires dedicated operations resources.
UserGems
UserGems focuses on tracking job changes and champion movements. If your best pipeline source is following past customers to their new companies, UserGems offers specialized functionality that Pocus doesn't replicate. Pricing is custom but typically lower than 6sense.
How to Evaluate Pocus Effectively
If you decide to engage with Pocus's sales team, use these steps to get the best outcome:
- Request a sandbox environment — Ask for hands-on access with your own product data, not a curated demo.
- Define your signal requirements first — List every signal type your reps currently use to prioritize accounts. Check whether Pocus covers them or whether you'll need supplementary tools.
- Get the total cost — Ask explicitly about per-seat costs, data volume limits, integration fees, overage charges, and renewal pricing. Get the Year 2 price in writing.
- Benchmark against transparent options — Compare the quoted price to platforms that publish their rates. Signal-based selling platforms with flat-rate pricing set a clear benchmark.
- Check contract flexibility — Ask about monthly billing options, early termination clauses, and pilot programs. If annual commitment is the only option, negotiate a shorter initial term.
Frequently Asked Questions
How much does Pocus cost?
Pocus does not publish pricing. The company uses custom enterprise quotes based on team size, data volume, and contract terms. Based on comparable platforms in the product-led sales category, estimated annual costs likely start in the $30,000-$60,000 range for mid-market teams. The only way to get an exact number is to request a demo from their sales team.
Does Pocus offer a free plan or free trial?
No. Pocus does not offer a free plan or self-serve trial. Access requires booking a demo with their sales team and going through a structured evaluation process. This is standard for enterprise-focused sales tools but limits your ability to test the platform before committing.
Is Pocus only for product-led growth companies?
Effectively, yes. Pocus is built around ingesting product usage data to score and prioritize accounts. Companies without a free or self-serve product tier that generates usage events won't get meaningful value from the platform. If your sales motion is primarily outbound, event-driven, or channel-based, other sales intelligence platforms are a better fit.
How does Pocus compare to full account intelligence platforms?
Pocus focuses narrowly on product usage signals for PLG companies. Full account intelligence platforms like Salesmotion cover 1,000+ sources, including earnings calls, leadership changes, funding events, hiring trends, and M&A activity, with transparent flat-rate pricing instead of custom enterprise quotes. Teams that need intelligence beyond product usage data will find the broader approach more comprehensive.
What integrations does Pocus support?
Pocus integrates with major CRMs including Salesforce and HubSpot, data warehouses like Snowflake and BigQuery, and product analytics tools such as Segment and Amplitude. The platform is designed to pull product event data from your existing analytics stack and push prioritized actions back into your CRM.
Can Pocus replace a full sales intelligence platform?
For pure PLG teams, Pocus covers the product-signal-to-action workflow effectively. However, it does not provide contact databases, company firmographics, or business signal monitoring (earnings, filings, news). Most teams using Pocus supplement it with additional data providers, which increases total stack cost and complexity.
