Sales forecasting software: The 7 best tools for precise sales forecasting in comparison

Manual forecasts in Excel quickly lead to miscalculations in sales planning due to outdated data and subjective assessments. Modern sales forecasting software fills these gaps by analyzing CRM data and customer interactions in real time in order to calculate the probability of closing individual deals based on data. This enables reliable pipeline management and secures liquidity planning.
How do you choose the right sales forecasting software?
When choosing sales forecasting software, the focus is on one thing in particular: reliable, data-based sales forecasts without additional admin effort. Modern AI sales forecasting tools dig deep into your pipeline and conversation data. Therefore, you should pay attention to the following criteria when choosing:
- Automated CRM data flow: Relevant information from meetings, emails or phone calls is automatically transferred to CRM — without manual data entry.
- Deal risk analysis: The software recognizes risk signals in the sales process and adjusts the probability of closing deals accordingly.
- Sales framework support: Methods such as MEDDIC, BANT or SPICED should be automatically identified and included in the deal evaluation.
- GDPR & server location: Decisive for companies in the DACH region — pay attention to EU hosting and GDPR-compliant data processing.
- Accurate voice processing: Technical terms and regional dialects should be reliably recognized so that important conversation details are correctly recorded.
- Historical deal analyses: Good tools compare current opportunities with historical profit and loss patterns to improve forecasts.
- Cross-platform data collection: All interactions from Zoom, Microsoft Teams, Google Meet, or phone should be brought together centrally.
- Real-time pipeline updates: Changes in customer meetings are immediately included in the forecast — for current and realistic sales forecasts.
Comparing 7 popular sales forecasting software solutions
#2 Gong
Gong is an American provider that provides a platform for analyzing customer interactions. The system uses artificial intelligence to evaluate data from phone calls, video conferences and emails and gain insights for sales processes and forecasts.
- Gong Forecast: This module provides forecast functions that generate forecasts based on customer interactions and pipeline data, among other things.
- Analysis of sales opportunities: The platform provides key figures for the development of individual deals and can provide information about possible risks in the sales process, for example when important contacts are less active or competitors are mentioned in conversation.
- Gong Engage: A workflow module that helps sales teams prioritize tasks and activities in their day-to-day business.
- Conversation analysis and coaching: Managers receive evaluations of discussion structures, such as the ratio of speaking and listening shares, in order to derive training or coaching measures.
- Aggregated market information: Conversation data from various customer contacts is brought together to make trends visible, for example in pricing structures, product feedback or objections.
Gong prices (as of March 2026):
Gong does not give any specific prices on the website. According to the provider, the costs consist of an annual platform fee and a license fee per user.
#3 Clari
Clari is a revenue operations and sales analytics platform that brings together data from multiple sources to provide insights into pipeline, forecasts, and sales activities. The aim of the solution is to provide a uniform data basis for sales forecasts and pipeline analyses.
- Clari Forecast: The forecasting module provides forecasts based on pipeline data. In doing so, forecasts from individual teams can be brought together to provide an aggregated view of sales forecasts.
- Time-Series Insights: The platform creates time-based views of the pipeline. This makes it possible to track changes over time, such as movements of individual deals or changes in pipeline volume.
- Analysis of sales risks: Clari provides evaluations that can provide information on potential risks in the sales process, such as longer periods of stay of deals in certain pipeline phases.
- Pipeline Inspection: Executives get an overview of opportunities in the pipeline and can analyze them using various filters, such as by deal phase, value, or activity.
- integration: The platform offers integrations with CRM systems such as Salesforce and other data sources to bring together information for forecasting and analysis.
Clari prices (as of March 2026): Clari does not communicate fixed package prices on the website. According to the provider, the model is tailored to the individual use case and dispenses with additional platform fees for integrations or support. A specific offer can be requested using the “Get a quote” function.
#4 Salesforce (Einstein forecast)
Salesforce offers various functions for sales forecasting and sales analysis within its CRM ecosystem. With solutions such as Einstein AI, forecasts are created based on existing CRM data. Salesforce also provides functions for automating sales processes with Agentforce.
- Einstein Prediction & Sales AI: This module analyses historical sales data, such as win rates or sales cycles, and uses this to calculate the probability of closing ongoing deals.
- Einstein Trust Layer: The security architecture is used to protect sensitive customer data when using AI functions and to control processing within the Salesforce infrastructure.
- Agent Force & CRM Automation: Agentforce provides features to automate tasks, such as summaries of conversations or the creation of email drafts. This information can then be documented in CRM.
- Hierarchical forecasts: Forecasts can be brought together across multiple teams, regions, or sales units, creating an aggregated view of the pipeline and revenue goals.
- Analysis of influencing factors: The platform provides evaluations that can show which factors currently influence forecasts, such as deal size or interaction frequency.
Salesforce Pricing (as of March 2026): The costs for Salesforce depend on the edition, number of users and selected additional modules. Features such as Einstein AI or Agentforce may incur additional charges depending on the setup. Specific prices are usually provided as part of an individual offer or a test phase.
#5 HubSpot (Sales Hub)
HubSpot is a CRM platform that combines customer management, marketing, and sales management features. The system is used by many B2B companies and, depending on the tariff, also offers tools for pipeline analysis and sales forecasting.
- Forecasting tool (from Professional): In the Professional and Enterprise plans, HubSpot provides predictive dashboards that can be used to represent the performance of the sales team in relation to set quotas.
- AI-powered deal probability: Based on historical CRM data, HubSpot can calculate the probability of winning individual opportunities and make changes in the pipeline visible.
- Pipeline inspection: The so-called pipeline inspection shows changes in the sales pipeline, such as adjustments to the deal value, shifts in closing dates or prolonged inactivity of individual deals.
- Flexible forecast categories: Various categories such as “pipeline”, “best case” or “commit” can be used for forecasts. This makes it possible to map different scenarios in sales planning.
- Native integration of sales activities: Emails, meetings, and calls can be recorded directly in the system. This data is then available for pipeline analyses and forecast evaluations.
Prices from HubSpot (as of March 2026): The functions required for forecasting start at €100 per user and month in Sales Hub Professional. Larger organizations with complex team hierarchies and extended permissions require the Enterprise plan for €150 per user per month. Note that there are one-time onboarding fees (starting at around €1,470) when you get started with these plans.
#6 Note
Aviso is a revenue intelligence and revenue forecasting platform that combines functions for pipeline analysis, forecasting, and sales management. According to the provider, the solution is aimed in particular at companies with extensive sales organizations and complex sales processes.
- Revenue analysis across the entire customer life cycle: The platform brings together data from various phases of sales — from the first opportunity to contract extension — and makes this information available for forecasts and pipeline analyses.
- Deal forecasts based on AI models: The software uses data from CRM systems and other sources to calculate the closing probabilities of individual deals. Both internal sales data and other signals can be taken into account.
- Analyzing customer interactions: Aviso offers functions for evaluating meetings and discussions in order to identify indications of objections, interests or decision-making processes in the sales process.
- Assistance with the next steps in the deal: Based on pipeline and forecast data, the system provides information as to which activities may be relevant in the sales process.
- Scenario analyses for forecasts: Executives can simulate various “what-if” scenarios to analyze the potential impact of changes in the market or in the sales team on sales forecasts.
Aviso prices (as of March 2026):
Aviso does not publish any fixed pricing plans on its website. According to the provider, pricing depends on factors such as the number of users, data volume and range of functions. More detailed information is available as part of a product demo.
#7 Outreach
Outreach is a sales execution and sales automation platform that combines acquisition, pipeline management, and forecasting capabilities. The system processes data from various sales activities to provide pipeline and revenue planning analyses.
- Pipeline management and analysis: The platform provides evaluations for the development of deals. Sales managers can, for example, understand when closing data is adjusted or when the frequency of interaction with customers changes.
- Analyzing Interactions: Outreach can evaluate content from emails and phone calls and derive additional information for pipeline analyses.
- Forecast scenarios: The software offers various views for sales forecasts, such as team-related forecasts or system-based forecasts, to compare different assessments of the pipeline.
- Support in the sales process: The system can provide information on possible next activities in the sales process, such as follow-ups or further contacts in the decision-making process.
- CRM integration: Activities and changes in deal status can be synchronized with CRM systems such as Salesforce or Microsoft Dynamics.
Outreach prices (as of March 2026):
Outreach does not publish fixed pricing plans on its website. According to the provider, the pricing structure is usually based on license costs per user and year. More detailed information is provided as part of a product demo or needs analysis.
Is Kickscale the right sales forecasting software for you?
Sales forecasting software can help with sales planning if you Make forecasts more data-based Would like to. While some solutions primarily visualize CRM data, other systems also use information from customer interactions.
For example, modern platforms can incorporate data from video calls, emails, or phone calls into the analysis. This creates a Broader data base for forecasts and pipeline analyses. In addition to the expected sales development, potential risks in individual deals can also be identified earlier.
Common questions and answers
What is the difference between qualitative and quantitative sales forecasting?
Qualitative forecasting is based on subjective expert assessments and intuition, which is particularly essential for market entries without data history. Quantitative forecasting, on the other hand, uses mathematical models and historical transaction data to precisely calculate objective trends for established business areas.
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How does predictive analytics improve the accuracy of revenue planning?
Predictive analytics analyses historical sales data and identifies patterns that are often difficult to identify during manual evaluations. By combining real-time interaction signals and historical win rates, forecasts can be created based on data and budget planning can be supported in a more well-founded way.
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Why is clean data hygiene in CRM crucial for AI-based forecasts?
Artificial intelligence depends on valid data sets, as incomplete or outdated information in CRM necessarily leads to distorted results. Consistent data management ensures that algorithms calculate correct probabilities and provide reliable decision-making bases for management.
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What role does sales methodology play in creating reliable forecasts?
Uniform standards such as MEDDIC or SPIN Selling help to evaluate sales opportunities in a more structured way and make them easier to compare. This reduces the impact of individual assessments. When the entire team uses the same qualification process, the forecast can be created more consistently and serve as a more informed basis for strategic decisions.
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How does sales forecasting software support risk management in the company?
The software acts as a digital early warning system by identifying potential risks in the pipeline at an early stage. In this way, companies can often identify financial bottlenecks early on and react better to them.
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How does modern forecasting influence the collaboration between sales and marketing?
A common database ensures coordinated lead management and focuses marketing investments specifically on the channels with the highest probability of closing. Software ensures that all teams can access the same database and that friction losses are reduced.
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