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It’s Here! The Coevera Revenue Intelligence Loop

Everyone wants to know what comes next — and in business, uncertainty about the future is the costliest unknown of all. This month, Coevera takes aim at it with a groundbreaking new approach: the Coevera Revenue Intelligence Loop.

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It’s Here! The Coevera Revenue Intelligence Loop

Sales forecasting will never be the same—for this month, Coevera introduces a groundbreaking approach in forecasting: the Coevera Revenue Intelligence Loop!

All of us desire to know where we came from, but we also want to know where we’re bound. We’re always engaged in a significant attempt to learn all about “what is next.” An example is, during election times, everyone scrambles to learn about political outcomes. A lighter example is the love everyone has for the motion picture Back to the Future—McFly and the professor are able to return to a time in the past, knowing everything that is going to happen.

Doing Away with Business Uncertainty

For anyone trying to analyze or forecast future events, uncertainty is the primary concern. This is nowhere more evident than in business.

Businesses wonder why competition has become so fierce. It’s because competitors have become increasingly adept at gross revenue prediction. To succeed in this new competitive environment, every company needs to revolutionize its sales function management.

What is the reason prediction is so crucial in a business environment? Because prediction secures company investments and decisions, based on past data. It is, therefore, crucial that historical data be accurately analyzed. When this isn’t done, a company cannot accurately forecast and predict the future performance of the individual and the team.

It Begins With Historical Data

Analysis of historical data must occur before anything else in a forecast—but a company must possess historical data for this to happen. The more historical data a company has, the more accurate predictions will be.
This is why our Coevera solution is marketed to businesses with existing data.

In order for data to be analyzed and for any accurate prediction to be made, a good couple of years of historical data is required.

To see how this works in practice, have a look at our graphic above. Starting at the center of the Revenue Intelligence Loop, historical data is accumulated through sales management insights, KPIs and Archive functionality. These dynamic features provide evidence-based predictions . Forecasting is no longer based on wishful thinking; ours is the first CRM in the market to make forecasting so precise.

To gain a full analysis of your operation, historical data must take both leading and lagging indicators into account.Coevera fully incorporates leading and lagging indicators, giving you a holistic view.

You can see in the graphic that, to guide a company in meeting its targets and quotas, Coevera coordinates historical data and real-time pipeline data within opportunity management.

Worth knowing: The Revenue Intelligence Loop is deliberately built for established companies — Coevera notes a good couple of years of historical data is required before accurate prediction is possible, which is why the solution is marketed to businesses that already have data to analyze.

Set Goals Using KPIs

Within historical data, a number of different KPIs must be understood so that targets and quotas will be set accurately. For example, you must understand your average deal size. If you are setting a goal of $25 million in revenue, with 30 salespeople and an average deal size of $50,000, you will easily be able to figure out how to achieve the goal.

Other KPIs include sales velocity, performance insights, targets, win rate and forecasting. All of these are contained within Coevera.

Target Functionality Expanded

The setting of monthly, quarterly and annual targets is accomplished through historical data, as seen in the graphic. To facilitate this, Coevera has greatly expanded its target functionality.

Utilizing this new function, user or group targets can be created. As you’re setting the target, historical data is automatically filled in from KPIs of that individual or group—average deal size, win rate, average velocity, and the rest.

Is your target valid? The target functionality will let you know, based on your historical data. Are there enough opportunities in the pipeline for this target to be made? Is it a realistic target, or unrealistic? From this data, you’ll be able to tell what actions are needed.

You will always be able to track target achievement for each group or individual as you progress through the sales period. This is a powerful tool for management—but it is also a tool with which the individual sales rep can take self-responsibility. They can see they don’t have quite enough to fulfill a target, and take appropriate measures on their own.

$25Mrevenue goal
30salespeople
$50Kaverage deal size

Sales Management and Setting of Quotas

Quota setting also utilizes historical data, as can be seen in the graphic. These are then assigned, depending on the sales structure of the company, to individuals, teams or territories. Coevera allows precise setting and assignment of quotas.

At Last…Forecasts

From the point setting of quotas is done, creation of realistic forecasts can occur for the very first time. These forecasts can be adjusted throughout the sales period to always remain accurate.

Reports

Through its dashboard and advanced reporting, Coevera empowers sales management.

Precision reporting can be made to company stakeholders, leadership or anyone else who needs or wants them. Now that company leadership can operate with accurate forecasts, these can be provided to investors. Accurate predictions mean everything, especially within larger companies—if a company predicts $35 million in revenue, and only $25 million is made, that’s a loss of $10 million. In today’s economy, even a small percentage of error is unacceptable. A set of solutions such as Coevera’s Revenue Intelligence Loop can keep that from happening.

The Revenue Intelligence Loop provides first-ever evidence-based predictions. CRM, for the first time in history, is what it actually should be, and what it was intended to be from its inception. No longer will targets and forecasts be made based on guesswork. We’ve recently seen where lack of data and guesswork have taken us—simply look at the COVID disaster.

Finally do away with wishful thinking!

Start Your Free, No-Obligation 14-Day Coevera Cloud Unlimited Trial.

FAQ

Common questions about the Coevera Revenue Intelligence Loop

What is the Coevera Revenue Intelligence Loop?
The Revenue Intelligence Loop is Coevera's forecasting approach that accumulates historical data at its center through sales management insights, KPIs and Archive functionality, then coordinates that data with real-time pipeline data within opportunity management. It produces evidence-based predictions rather than forecasts built on wishful thinking.
Why does accurate forecasting depend on historical data?
Analysis of historical data must occur before anything else in a forecast, because prediction secures company investments and decisions based on past data. The more historical data a company has, the more accurate predictions become, which is why Coevera is marketed to businesses that already have a good couple of years of data.
What KPIs does Coevera use to set accurate targets and quotas?
Coevera uses KPIs including average deal size, sales velocity, performance insights, targets, win rate and forecasting. For example, a $25 million revenue goal with 30 salespeople and a $50,000 average deal size makes the required activity easy to calculate. These KPIs are all contained within Coevera.
How does Coevera's expanded target functionality work?
When setting a user or group target, Coevera automatically fills in historical data from that individual or group's KPIs, such as average deal size, win rate and average velocity. The tool then tells you whether the target is valid and whether enough pipeline opportunities exist, and lets you track achievement throughout the sales period.
Why does the article say forecasting errors are so costly?
Accurate predictions matter enormously, especially in larger companies: if a company predicts $35 million in revenue but only makes $25 million, that is a $10 million loss. In today's economy even a small percentage of error is treated as unacceptable, and the Revenue Intelligence Loop aims to prevent such gaps.

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It’s Here! The Coevera Revenue Intelligence Loop - Coevera