Sales Forecasting: Reliable revenue forecasts in CRM
Login software helps you base your sales forecasts on reliable data, leading to greater transparency in your pipeline and more informed decisions.
Why forecasting remains inaccurate in many companies
In many companies, forecasting is still based on manual estimates, Excel spreadsheets, and inconsistent sales data. Opportunities are assessed differently, changes in the pipeline are recognized too late, and deviations only become apparent after valuable time has already been lost.
The result: Sales forecasts become uncertain, sales priorities become blurred, and decisions in management, sales, and resource planning are not based on reliable information.
What good sales forecasting must achieve
A professional forecasting system must do more than simply extrapolate. It should systematically compile sales data, visualize trends, and enable a realistic assessment of future revenues. The most important aspects are:
- Transparency regarding pipeline and opportunities
- Clear evaluation logic for sales opportunities
- Comparison of plan, forecast, and actual performance
- Early identification of risks and gaps
- Improved basis for sales management, capacity planning, and decision-making
Sales Forecasting: Data becomes actionable forecasts
With a suitable CRM solution, sales forecasting becomes an active management tool. Instead of isolated individual values, a consistent picture emerges of sales opportunities, closing probabilities, deal volume, cycle times, and the behavior of new and existing customers. This creates the foundation for not only generating forecasts but also for operationally managing them.
Typical questions that can be answered with forecasting
Are your CRM requirements increasing? No problem!
Our solutions are scalable, updatable, and designed with foresight. Contact our experts if you have any questions. We're happy to help.
Frank Tjaben
Head of Marketing & Sales
frank.tjaben@login-software.net
Tel.: +49 89 2020447 25
login-software.net
Michael Ruzek
Managing Director
michael.ruzek@login-software.net
Tel.: +43 1 5865897 12
Florian Ruzek
Head of Operations
florian.ruzek@login-software.net
Tel.: +43 664 8202500
The basis for reliable forecasts
Modern sales forecasting requires more than just a clean system landscapeand clear data structures. Structuring methods like MEDDIC or stage-based evaluation logics should also be used to assess sales opportunities consistently and make forecasts more reliable. Typical components include:
- CRM system for structured pipeline and opportunity management
- Analytical extensions (e.g., sales-i) for pattern recognition, sales analysis, and data-driven decisions
- Reporting & dashboards for management, forecast evaluation, and ongoing sales management
- Integration with ERP systems to link forecasts with real business processes and sales data
- Defined sales stages and evaluation logics to consistently classify and compare deals
- Mapping of sales methods (e.g., MEDDIC) in the CRM to systematically evaluate opportunity quality
- Clear forecast categories (e.g., Commit, Best Case, Pipeline) for realistic assessment by sales
From reporting to sales management
Many companies create forecasts – but only a few actively use them for management.
The crucial difference arises where clear processes are defined, data is consistent and reliable, and key performance indicators (KPIs) are prepared in a way that allows them to be used effectively in daily operations. True management capabilities are only achieved when forecasts are not just created, but consistently integrated into day-to-day sales activities.
This is precisely where Login Software comes in.
Forecasting: How Login Software Supports You
We combine technical expertise with operational sales experience. Our focus is not solely on tools, but on effective processes and genuine controllability.
Typical focus areas of our projects:
- Structuring pipeline and opportunity processes
- Defining meaningful forecast logic and KPIs
- Developing dashboards and reports for sales and management
- Improving data quality in CRM
- Integrating relevant data from ERP and other systems
The goal: Forecasts that are reliable – and can be used in everyday life
Frequently asked questions about sales forecasting and sales predictions
What is sales forecasting in CRM?
Sales forecasting in CRM refers to the data-driven prediction of future revenues based on pipeline, opportunities, and historical sales data. Using a CRM system makes sales forecasting more structured, transparent, and significantly more reliable than manual methods.
Why are many sales forecasts inaccurate?
Many sales forecasts are inaccurate because they are based on inconsistent data, subjective assessments, and a lack of processes. Without a clear evaluation of opportunities and consistent CRM data, forecasts are created that are based more on assumptions than on actual developments.
Which sales forecasting software is the best?
The best sales forecasting software depends heavily on a company's individual requirements. Crucially, the solution must integrate seamlessly into existing sales processes, support a clear pipeline structure, and offer meaningful forecasting and reporting functions. The software itself is less important than its effective integration into processes and data structures.
Wie verbessert ein CRM-System die Vertriebsprognose?
How does a CRM system improve sales forecasting?
What is the difference between a pipeline and a forecast?
The pipeline encompasses all open sales opportunities in sales, while the forecast is an assessment of these opportunities regarding their expected revenue contribution. The forecast is therefore based on the pipeline, but goes a step further towards providing a prediction.
What role does CRM-ERP integration play in sales forecasting?
Integrating CRM and ERP systems significantly improves sales forecasting, as it takes into account not only sales opportunities but also actual order and revenue data. This makes forecasts more accurate and closer to actual business performance.
Login Software: Our customers
