The best revenue intelligence software for your team

Revenue Intelligence (RI) is the active level of analysis above your CRM. The software automatically collects all data from calls and emails, evaluates “deal health” based on objective signals and provides sales forecasts derived from this. Instead of relying on manual (and often incomplete) CRM entries, you use real knowledge straight from the source.
How do I choose revenue intelligence software?
When choosing the right system, it is important that the software reliably contributes to your sales goals. The functions should therefore go well beyond data collection and enable you to actively manage your sales processes. Since the software goes deep into your pipeline and customer data, you can use the following 8 criteria to help you decide:
- Automated CRM reconciliation: Information such as budgets, schedules, or contacts is automatically transferred directly to the corresponding fields of systems such as HubSpot, Salesforce, or Pipedrive.
- Sales framework support: This allows your team to work using methods such as MEDDIC, BANT, or SPICED. Some AI systems can automatically recognize these structures in conversations and identify gaps in qualification.
- Forecasting: To create sales forecasts based on real interaction data (e.g. involvement of decision makers) instead of subjective assessments by employees.
- GDPR & server location: Important for companies based in Europe. Pay attention to data processing on servers within the EU to meet local compliance requirements without “cloud detours.”
- Recognition of dialects and terminology: Important for the quality of the analysis when conversations are conducted in regional dialects (e.g. Swiss German) or when industry terms need to be recognized without errors.
- Deal health metrics: Evaluation of the probability of closing sales opportunities based on data points.
- Automate follow-ups: Right after the call, the system creates personalized email drafts and tasks based on the content discussed.
- Playbooks & coaching: Identify successful conversation patterns among your employees. These are used directly via playbooks to train the entire team.
6 Popular Revenue Intelligence Software
2) Gong
Gong uses a basis of numerous sales interactions to paint an unbiased picture of the pipeline. The software analyses conversations and correlates them with data from emails and CRM to identify patterns for successful business transactions.
- Gong Forecast: Uses over 300 behavioral signals (e.g. customer response speed) to generate sales forecasts.
- Gong KI Agents: AI agents create follow-ups, correct incorrect pipeline data and suggest forecast adjustments.
- Real-Time Coaching: Delivers subtle information on how to handle complaints directly on the monitor during calls.
- Pattern recognition: Identify behaviors and topics that, statistically speaking, are the most likely to lead to a deal in your industry.
- Deal health scoring: Evaluate every sales opportunity objectively based on the activity and commitment of the decision makers involved.
- Integrations: Offers a broad ecosystem with direct connections to almost all common sales tech stacks worldwide.
- Data protection: US-based company with SOC 2 Type 2 certification. Data residency options are available for European customers.
Gong prices (as of February 2026):
Gong prices are not published on the website. According to the statements there, license prices are per user and there is a platform fee based on the number of users supported.
3) Clari
Clari focuses on the so-called Revenue Orchestration. The system uses a database (RevDB) to bring together all signals from sales, marketing and customer success. The aim is to map and predict a company's entire revenue flow.
- AI forecasting: Uses predictive models to generate sales forecasts based on historical patterns and current deal activity.
- Pipeline Inspection: Shows movements within the pipeline in “Flow View” and marks deals without current activity as an existing risk.
- Clari co-pilot: A conversational intelligence module that analyses sales calls and provides employees with real-time information (battlecards).
- Scenario planning: Makes it possible to run through various “what-if” scenarios for the quarterly financial statements.
- Alignment tools: Synchronize sales and marketing goals to ensure pipeline generation meets revenue targets.
- Relationship insights: Analyzes the depth of customer relationships and recognizes whether there are enough contacts at decision maker level.
- GDPR: The platform uses standard data protection clauses (SCCs) to transfer data; primary storage is usually on US infrastructure.
Clari prices (as of February 2026):
The prices for the software are not made publicly available on the website. Prices and a product demo can be requested.
4) Salesloft
Salesloft serves as an operational level that prioritizes sales activities such as emails, phone calls and social selling and links them directly to pipeline analysis. The aim is to manage the daily tasks of salespeople in such a way that they have the greatest influence on sales.
- Rhythm Engine: An AI signal tracker that creates a dynamic to-do list for every employee based on the likelihood of moving a deal forward.
- Cadence Automation: Enables the automation of multi-stage contact sequences across different channels.
- Convo Intelligence: Analyzes sales calls and automatically determines critical moments or missing information for the next process step.
- Drift integration: By taking over Drift, Salesloft offers a combination of website visitor data and active sales campaigns.
- Pipeline tracking: Monitor deal movements and warn when a sales opportunity stagnates or communication weakens.
- Data protection: Salesloft meets common security standards such as SOC 2 and offers options for European customers.
- GDPR: Data processing is often carried out on US infrastructure; users in the DACH region should check the contractual bases (SCCs).
Salesloft prices (as of February 2026):
Salesloft does not publish the prices, they are only available upon request. The functions are tiered over two package sizes, plus feature add-ons such as Account Agents and Forecast available.
5) Terret
Terret is positioning itself as an analysis center for revenue operations. The platform features an adaptable data model that can also represent complex business models, such as consumption-based billing.
- Machine forecasting: Make forecasts by combining data from meetings, emails, and CRM.
- Virtual Revenue Fleet: Use AI agents to perform tasks such as data cleansing in CRM or creating follow-ups.
- Relationship intelligence: Analyzes the strength of the customer relationship based on frequency and the hierarchical levels involved on the customer side.
- Self-service dashboards: Enables RevOps teams to create custom analyses without programming
- Renewal management: Identifies risks among existing customers to prevent churn.
- Data protection: The system is based on an AWS infrastructure and is SOC 2 Type II certified.
- Information about the GDPR: Standard data processing contracts are offered; primary storage is usually carried out in US data centers.
Terret prices (as of February 2026):
Prices are not publicly available and are available upon request. A free trial is available. Individual modules are priced out: AI Revenue Agents for $50, Machine Forecasting for $80 and Conversation Intelligence for $30, each per user and month.
6) Note
Aviso positions itself as an AI-led revenue operating system that aims to break down the silos between sales, marketing and customer success. The platform offers a workspace in which the planning and operational execution of deals come together in one interface.
- Pipeline: Offers predictive analytics across all levels of the hierarchy and provides insight into the health of each individual sales opportunity.
- Deal collaboration: A digital space in which teams work together on complex deals and can view all relevant documents and communication processes.
- Predictive analytics: Identifies patterns in sales cycles and issues alerts when deals are at risk of going over schedule.
- Sentiment analysis: Evaluates the tone of customer communication in emails and meetings to identify signs of dissatisfaction or willingness to buy.
- Alerts: Sends notifications when there are significant changes in the deal history or if there are deviations from the forecast.
- Hierarchical forecasting: Allows forecasts to be aggregated at various levels (region, team, individual) and compared with AI forecasts.
- Data protection: Aviso provides control mechanisms for data access and role authorizations.
- GDPR: As a US provider, Aviso uses standard data protection clauses (SCCs). Companies should individually review the compliance requirements for data transfers to third countries.
Aviso prices (as of February 2026):
Aviso does not disclose the prices for the software on the website. These are available upon request.
Is Kickscale the right revenue intelligence software for you?
Kickscale offers you automated recording of your customer communications and a complete system for managing your sales pipeline. Get accurate sales forecasts and automatic maintenance and updating of your CRM.
For your team, Kickscale creates a dense network of information for each customer, with which you can better serve them and bring them to a conclusion more reliably.
Revenue Intelligence Software — Frequently Asked Questions and Answers
What is the difference between an AI notetaker and revenue intelligence software?
An AI notetaker focuses on transcribing and summarizing individual conversations. Revenue Intelligence analyses all interactions (emails, calls, CRM data) across the pipeline to identify trends and forecast revenue.
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Can revenue intelligence software also check complex sales methods such as MEDDIC or BANT?
Yes, during the call, some providers automatically recognize which information (e.g. Economic Buyer or Decision Criteria) is still missing and point this out to the seller in order to improve the qualification of the deals.
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Do I need a specific CRM system for revenue intelligence software?
Revenue intelligence software is generally suitable for working with common systems such as Salesforce, HubSpot, Pipedrive or Microsoft Dynamics. The integration is often even bidirectional, so that the AI not only reads data but also autonomously updates fields in the CRM.
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What warning signs in the pipeline does revenue intelligence software recognize?
Early detection of “deal stable” (stagnation) is important. Some systems sound the alarm if, for example, there has been no contact with an economic decision maker within the last 14 days, the customer's response time to emails decreases, or an offer remains unanswered for over 10 days. These objective warning signs prevent salespeople from investing too much time in hopeless deals (“hope management”).
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What role does data quality in CRM play in the success of AI?
An AI is only as good as its data basis. However, Revenue Intelligence Software solves this problem by closing data gaps on its own. For example, if a contact person is missing from the CRM but has attended the meeting, the AI of some systems recognizes this and suggests that the contact be created automatically. This ensures consistent data quality, which is necessary for forecasting.
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Your sales team deserves clarity instead of guessing games
With our AI revenue intelligence platform, we help innovative sales teams make better decisions and close more deals.
Data-driven Sales Insights

Your sales team deserves clarity instead of guessing games
With our AI revenue intelligence platform, we help innovative sales teams make better decisions and close more deals. Experience the difference:
Deep customer understanding
Identify why customers buy or what prevents them from doing so – from all conversations
Objective forecasts
Finally make decisions based on hard facts instead of gut feeling
Deal prioritization
Focus your team on the opportunities with the highest potential











