Ebsta
Revenue intelligence platform that guarantees better seller quota attainment, forecast accuracy to within 10%, and a 30-day go-live.
By Ebsta · HQ London, UK · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Sales leaders who need forecast accuracy and pipeline visibility inside the CRM
- Revenue operations teams that must fix CRM data quality before deploying AI
- Sales managers coaching reps with deal-level evidence and qualification guides
- Salesforce- and HubSpot-based B2B sales organisations
Ideal size: 20–500 sellers people · Scale-up or enterprise with a CRM and a defined sales methodology
Not for
- Teams without Salesforce or HubSpot as their system of record
- Buyers who will not grant mailbox, calendar or call-recording access
- Organisations wanting self-serve, transparent list pricing
Value metrics scorecard
Time-to-Value
Within 30 business days
~30 days to first production value
Total Cost of Ownership
On request
Quote-based. Three plans (Conversation Intelligence, Relationship Intelligence, Revenue Intelligence) plus an Inbox plan; 14-day free trial, enterprise plan by arrangement.
Implementation Friction
2/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
No public seat minimums; enterprise plan quoted on request
Add-on costs
- None
Company & support
Who is behind Ebsta, and how your team gets help once it is live.
Company
- Founded
- 2012 · 14 yrs in business
- Headquarters
- London, UK
How you get support
- PhoneNot listed
- EmailPlan not stated
- Live chatNot listed
- Support portal / ticketsPlan not stated
- Community forumNot listed
- Help centre / docsPlan not stated
- Dedicated account managerPlan not stated
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
Pricing page lists Account Manager, Knowledge Base and Email under Account Management & Support; the contact page routes customer help through a support form. Published SLAs and response times are not stated.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Ebsta sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line. A dashed ring marks an outlier pinned to the edge; hover for its value.
Companies on the chart 6 / 10
- Ebsta
- ClientSuccess
- Navattic
- Custify
- Appcues
- ChurnZero
Add or change companies
Up to 10 companies including Ebsta. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Ebsta ships in AI, and what it asks of your ecosystem.
AI features shipped
The Ebsta AI Bot uses generative AI to draft follow-ups, investigate calls and make recommendations. Deal Score, projected revenue and forecast roll-ups surface predicted outcomes. The security page lists OpenAI as a sub-processor generating call summaries and insights.
In your ecosystem
- AI connection
- Not supported
- Model key
- Vendor's key
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Ebsta is a revenue intelligence platform for Salesforce- and HubSpot-based sales teams, combining conversation intelligence, relationship scoring, pipeline and deal insights, and forecasting. Plans are quote-priced and carry three guarantees: improved seller quota attainment within six months, forecast accuracy to within 10% within six months, and production go-live within 30 business days. Ebsta states ISO 27001 compliance, stores data in AWS US-East, and lists OpenAI among its sub-processors for call summaries.
Frequently asked questions
How long does Ebsta take to go live, and what happens if it doesn't?
Ebsta guarantees implementation inside 30 business days so the platform can influence the current quarter's number. If it misses that window, Ebsta extends the contract by 30 days free of charge. Two further guarantees cover quota attainment improvement within the first six months (with an option to terminate) and forecast accuracy to within +/- 10% within six months.
What does Ebsta cost?
Pricing is quote-based rather than published. Ebsta sells three plans — Conversation Intelligence, Relationship Intelligence and Revenue Intelligence — plus an Inbox plan for Gmail and Outlook productivity. A 14-day free trial is available for the three main plans, and the enterprise plan is discussed directly with sales.
Which CRMs and tools does Ebsta integrate with?
Salesforce (Professional, Enterprise, Performance and Unlimited editions; Enterprise is the practical minimum for full features) and HubSpot, plus Ebsta for Bullhorn. Communication and meeting integrations include Gmail, Outlook/Office 365, Zoom and Teams, with Slack used for alerts and pipeline communications. SSO and service accounts for Gmail and Outlook are supported.
Is Ebsta secure and certified?
The vendor's Security & Trust page states Ebsta is ISO 27001 compliant. Data is stored in AWS US-East, encrypted in transit and at rest, and accessed through OAuth with Salesforce as the primary identity provider. Ebsta says it undergoes annual third-party security reviews as a Salesforce ISV partner and through Google Cloud OAuth reviews.
Where does our data go, and can we get it removed?
Ebsta acts as a data processor and states customers retain ownership and control at all times, with role- and team-level privacy controls. Its published sub-processors include AWS (hosting), Recall.ai (Teams recording), OpenAI (call summaries and insights) and Fullcast (support and operations), all in the USA. Data is destroyed within 60 days of leaving the service.
Will Ebsta work with our existing forecasting process?
Ebsta layers onto the CRM rather than replacing it, with projected revenue, forecast roll-ups, trends, pacing, commit and upside submissions, and waterfall charts showing what changed. It also aims to fix CRM data quality first, which the vendor argues is a prerequisite for any AI-driven forecasting to be reliable.