CloudApps Forecast Accuracy.

Highly accurate forecast predictions driven by AI & deal health insight.

Most organisations lack the tools and data insights to accurately assess the deals in their pipeline, resulting in low levels of forecast accuracy.

CloudApps offers a unique perspective into the health of deals so you can forecast with confidence. We do this through the use of AI and behavioural data, achieving predictions that are up to 95% accurate.

Schneider Electric increased their forecast accuracy by 79%, and pipeline quality by 55% by deploying CloudApps

Schneider Electric

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Forecast at 95% accuracy
with CloudApps.

Understanding the health of your deals is the first step on the road to an accurate forecast.

The CloudApps Platform provides two alternative methods to qualify deal health. The first uses the latest developments in AI and machine learning to evaluate individual deal health, the second tracks adherence to your prescribed winning way.

The CloudApps AI engine individually assesses each opportunity by tapping into the wealth of available insights from past deals, enabling it to predict the most likely outcome.

The results are predictions that go beyond the typical ‘one-size-fits-all’ sales process approach, recognising that not all prospects and deal paths are the same.

The CloudApps AI engine will tell you not only if a deal will close but also when it will close and for how much.

Deal predictions

Winning Way

Automatically score each deal based on its adherence to your sales process and the behaviours performed by your team.

Our rules engine automatically analyses these behavioural insights and generates a prediction score. One that shows the true health of the deal and acts as an indicator of how likely it is to close.

No matter what Sales Methodology you follow (for example Miller Heiman, TAS, SPIN or MEDDIC) – CloudApps offers the opportunity to codify and scientifically track adherence to your process.

What’s included.

CloudApps Forecast Accuracy includes:

  • Behaviour-based forecast predictions

  • A choice of approaches

    • Prediction based on a defined ‘best practice’ sales process
    • Machine Learning & AI-based predictions
  • Substantial forecast accuracy improvement

    • Consistent 95%+ accuracy using AI prediction
  • Available on Salesforce1, iOS & Android

CloudApps Forecast Accuracy
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AI you can trust.

Trust comes from reliability.

The CloudApps AI engine is unique in its ability to generate forecasts that are over 95% accurate.

How is it so accurate?

  1. It learns from rich behavioural data:  More data delivers greater accuracy. We generate a rich data audit trail for every deal based on the sales behaviours applied to it.

  2. It learns from the deal journey:  Timing is everything. The data picture we build is time-sequenced, recording not just which sales behaviour happened but crucially when.

  3. It uses the latest innovation:  Not all AI is as smart. We use the very latest ‘Deep Learning’ approach that significantly outperforms traditional AI.

CRM systems only provide a picture of ‘what’ happened. CloudApps provides the missing ‘why’. Our Deep Learning AI engine makes use of this insight to deliver unprecedented levels of accuracy.

Accuracy you can trust.

Learn More about CloudApps AI

Our customers love the
results they’re getting.

Qlik Case Study

As data visualisation experts, Qlik were focussed on increasing the accuracy of their forecasting abilities with the aim to reach error-free predictions. They called on CloudApps to monitor behavioural data and help them decipher the quality of their process and the team’s adherence to it. Thanks to this, Qlik was able to start building forecasts they could trust.

Read the Case Study

ROI guaranteed.

Sometimes, it’s the small things that bring about the biggest change.

Take the case of our customers, who on average have increased their win rate by 5.6%, augmented average deal size by 5.3% and added 4.1% more opportunities to their pipeline.

These numbers may not sound like much in isolation, but when combined, they created a 15% spike on their revenue.

For an organisation of £100M revenue that’s an additional £15M – without changing sales process, technology stack or personnel.



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