Zia Strategy Influencer

Zia Strategy Influencer

Important release information:
Zia's Strategy Influencer is opened in a phased manner and will be accessible only to the selected users.

Zia Strategy Influencer - A data-driven approach to achieving business goals


Every organization is driven by strategic business goals, which provide them with a purpose and a direction for their efforts. However, the tricky thing about having goals is how many of them are actually achieved?

Failure to meet strategic goals is a common challenge across businesses. Whether it's periodic sales targets, deal closure rates, support ticket closure rates, or field visits—more often than not, companies fail to meet the goals towards which they began efforts in the first place. Why does this happen?

There are several reasons that could explain it—miscommunication, lack of time and resources, lack of the right tools—but one of the most common reasons is the increasing gap between planning and implementation.

According to a study from the Economist, 90% of businesses executives acknowledge they've failed to meet their strategic goals because of poor implementation . So the big question is how do you convert powerful strategies into actual, deliverable results?

A business goal is often formulated inside a board room but expected to be executed out on the field. This gap between planning and implementation often leads to situations where the team that actually implements the goal is unclear on what to do next or how to execute a certain activity. It therefore becomes necessary to bridge this gap by focusing on clear action items and directions for the implementation of a business goal.

In order to devise a successful implementation plan, you need data.

For example, let's say the broader sales target for a sales team is to close 100 deals per week. If they have to close 100 deals by the end of the week, what should their specific action items be? How many prospects should they begin speaking to? What’s the expected company size of the ideal prospect? How many prospects or negotiations should each team/individual handle? What's the accepted duration of the sales cycle for each deal? Various sub-goals or objectives like this factor into the decision.
For a clear implementation plan, you need to rely on past data, assess the strength and capabilities of your team, and segment your goal into smaller, achievable milestones—which isn't, by any means, an easy mission to accomplish.
Here’s where you need the right tools.

Zia Strategy Influencer

Zia Strategy Influencer from Zoho CRM is an intelligent analytical dashboard that provides predictive and prescriptive analytics powered by our AI assistant Zia. It's a highly specialized, data-driven approach to setting and achieving business goals. It's intuitive, well-designed, and accurate.
Using Zia Strategy Influencer you can achieve the following:
  1. Bridge the gap between planning and implementation of business goals.
  2. Set accurate and reasonable targets for your teams.
  3. Assess factors that contribute towards the implementation of the those targets.
  4. Harness the power of AI to study your track record and make data-driven predictions and suggestions.
  5. Receive a ready-made, highly accurate list of action items suggested by Zia in order to achieve a goal.
  6. Enjoy the flexibility to modify Zia-predicted business targets and related action items according to your business needs.
  7. Get information regarding any gaps that occurred between the projected and actual value during a particular day or week, along with the reasons that caused these gaps.
  8. Obtain viewpoints on things like what steps must be taken to achieve a predicted objective and, in the case that one is missed, how it might be addressed and reached in the future.
Once you've implemented Zia Strategy Influencer, you can confidently set clear, reasonable goals, because your decision will be backed by data. You can also devise a quick and accurate implementation strategy in order to achieve your goal, as these are also computed by an AI-powered system designed to do so.
Zia's Strategy influencer is available for organization in Ultimate edition with 100+ user licenses.

How does Zia Strategy Influencer differ from Sales Forecasting in Zoho CRM?

Sales forecasting in Zoho CRM provides a similar way to determine your business's desired overall targets based on the Deals module in CRM. By distributing the target among users, it helps you work towards achieving your target in an organized way. However, sales forecasting mainly focuses on the sales of your company, and the target revenue is often manually estimated for different periods. Read more about Sales forecasting in Zoho CRM.

Zia Strategy Influencer, on the other hand, specializes in predicting goals across different modules in CRM. It predicts both your monetary targets related to revenue, costs, profit and loss, etc., and your business objectives like customer churn reduction, optimal inventory management, increased lead generation, and so on. Zia computes all the related data in your CRM to predict the right goal.
You can use sales forecasting for an extensive revenue forecast plan and simultaneously rely on Zia Strategy Influencer for hands-on guidance for your action plans and analyzing the root causes.

Examples of goal prediction using Zia Strategy Influencer

As discussed, Zia Strategy Influencer predicts more than just monetary goals. Let's look at some examples to understand how Zia Strategy Influencer can be used.

Predict and prepare for Q3's sales revenue

To some extent, businesses know from experience what their expected revenue should be. While the actual number maybe closer to their estimation, you can't however make decisions based on approximation. At times of unprecedented crisis or changing trends, businesses have to focus on their current performance, and the insights derived from Zia Strategy Influencer act as a handbook and help you identify the needs of the moment.
Let's see how Zia identifies your revenue target for Q3 based on your objective. To predict Q3 revenue, Zia does the following:
  1. Identifies all the factors and fields related to revenue, like due date, grand total, discount, invoiced items, etc.
  2. Gauges values for each factor based on current behavior.
  3. Correlates individual goals to form an overall goal that's relevant to the objective

Predict the number of bookings

Tourism is a seasonal industry. Revenue fluctuates during different seasons, and because of this uncertainty, it's important to predict what the rate of booking for an upcoming quarter might be, and what measures will help you achieve those numbers. Keeping this objective in mind—predicting the number of bookings—Zia will do the following:
  1. Completely analyze the Bookings custom module.
  2. Identify all the factors that facilitate booking, like campaign performance, availability, the previous year's performance, the number of inquiries, pre-booking, number of wishlists, etc.
  3. Assign individual targets based on the type of factor, as well as overall goals based on individual goals.

  1. You can create a Zia Strategy Influencer dashboard for all standard and custom modules in your organization.
  2. You need a minimum of 1,000 records in your organization for Zia to assess your goal.
  3. You can create only one Zia Strategy Influencer per organization in Ultimate editions. For Ultimate users, if you would like to create more Strategy Influencer Dashboards, kindly write to us at support@zohocrm.com.

Define your business objective

For Zia to understand your requirements and assess your goals, you need to feed Zia the following information:
  1. Module and metric: Define which module Zia should consider in framing the goal and which metric Zia should look for in that module. For example:
    1. If the deal count is selected, Zia will conclude that the number of deals is the focus and will compute the goal based on the count rather than other factors like sum or average.
    2. If you select the sum of deals as the desired metric, Zia will compute your goal based on the sum of the value of your deals.
  2. Associated date field: This denotes the time frame for which your goal will be computed. For example, if you want to predict your revenue goals, then you might want to assess based on deal closure and closing date.
  3. Objective: The objective is configured to define whether the metric selected is to be considered positively or negatively.

Analytical components in Zia Strategy Influencer

The dashboard is made up of the following analytical components:
  1. Target contributors: This is the primary dashboard component. It displays your overall goal, contributing factors, and the individual values predicted for each factor.
  2. Anomaly finder: This component investigates the factors predicted in the target contributors section, and displays the anomalies observed among them.
  3. Gap Analyzer: This component gives details about the dates on which there was a gap in the predicted and achieved values and the factors that led to the gap.
  4. Prescriptor: This component gives you insights on what should be done each day to achieve a predicted target for a week. In case a daily target is missed, prescriptor will also give suggestions that could help overcome the gaps.
  5. Predictor: Predictor, like the anomaly finder, also investigates the target contributors. Just as Zia identifies all the possible factors contributing to the goal as target contributors, the predictor identifies the top four picklist fields in your record that were significantly used to compute those factors.

Target contributors

Target contributors are the predictive and prescriptive component in the dashboard. They predict a suitable goal for your business and identify the factors that could contribute towards meeting your goal.

The target contributors component is made up of the following:
  1. Overall predicted goal: The total goal predicted for that dashboard.
  2. Contributing factors: Factors that could contribute to the overall goal
  3. Actual value of each factor: Current performance of individual factors
  4. Expected value of each factor: Expected performance of individual factors
  5. Component duration: The duration for which goals are displayed
Furthermore, the target contributors component also displays trend icons to denote how each factor contributes to your goal—positively or negatively.
  1. If the trend icon is green and facing upward, it means the factor is positively contributing to the target.
  2. If the trend icon is red and facing down, it means the factor is negatively contributing to the target.

How does Zia predict your goal?

Once your objective is configured, the target contributors component will compare the performance of existing records in that module and correlate the findings with your objective to predict a suitable goal. This goal can be a monetary target like revenue or a performance-oriented goal like number of purchase orders.

How are the contributing factors determined?

Contributing factors are factors related to the predicted goal that determine your progress towards the goal. In other words, contributing factors are a combination of behaviors that impact your goal, positively or negatively.
For example, converting five leads this week is a predicted factor which, if achievable, would contribute towards achieving your overall goal. This is the type of prescription that the target contributors component provides.
Once the objective is set, Zia will compute and validate all fields related to the chosen module and list out the factors with expected values. You can measure your progress by comparing the expected value with your actual performance.
Let's interpret target contributors using an example.
From the above image, you can see that Zia predicted the suitable overall goal for this week is to achieve USD 2,234,583.58 in revenue and lists all the contributing factors substantiating the overall goal. These factors are computed based on the fields present in your record and its behavior.
Let's break down the following example factor for better understanding:
Count of Deals with Amount in the range $84,351.75 - $99,709.00 and Closing Date is this week

Note: The prediction has been created for the standard module called Deals, with the objective to predict the target revenue, with increasing value as a positive trend.

  1. Count of Deals indicates the number of deal records
  2. Amount is a currency field in the Invoices module
  3. Closing date is a date/ time field in the Deals module.
Zia predicts that if you are able to close 48 deals each with values between USD 84,351.75 and USD 99,709.00 in one week, you stand a chance to meet your overall goal of USD 2,234,583.58.
Likewise, Zia considers different field values and behaviors from selected and related modules to assess parameters that could help achieve your goals.

Adjust your goals, values, and factors

Zia relies on your two years of data to crunch the numbers to determine your goals, values, and factors. If you want to modify Zia's predicted target, you can manually adjust your overall goal, choose different factors, and adjust the expected values for each factor in the target contributors.

  1. Manually updating the factors and values for individual factors will affect the component's overall goal.
  2. You can only select up to 15 contributing factors as target contributors.
  3. The overall goal and values do not dynamically update themselves based on everyday business performance. However, if you'd like to view your latest goals, you'll have to retrain Zia to crunch your database again.
  4. Retraining recomputes your data and updates your analytics with either the same or new set of insights. The option to retrain will be available once in every 15 days.

Anomaly finder

For target contributors, Zia predicts different factors that could contribute towards the goal. If these factors meet the expected value, then you can track your business performance in relation to that factor was as Zia predicted. If the actual values of those factors don't match the predicted value—either they exceeded or failed to meet them—those factors are categorized as anomalies and Zia looks for the cause that led to those anomalies and lists them in the anomaly finder component.
The anomaly finder provides two types of insights:
  1. What went wrong: When the actual value of the factor did not meet the expected value.
  2. What benefited: When the actual value of the factor exceeded the expected value.
In both these insights, Zia provides you with the reason for the anomaly: what the expected values were, what the achieved value was, and which target was impacted by this anomaly for the last week, last month, or last quarter. The anomaly finder therefore enables you to investigate the reasons you didn't meet your goal and to ascertain which aspect of your business was more beneficial than expected.

If all of your actual values met the expected values of your target contributors and you meet your overall target for the predicted period, then Zia will report no anomalies for that period.

Gap Analyzer 

The Gap Analyzer component gives in-depth understanding on the discrepancies between projected and real values that occurred on a specific date, week, or month. The reasons for the Gap on those particular times will be displayed elaborately while viewing the gap. These reasons will be similar to the ones in Anomaly Finder and Target Contributors, listed based on the Gap value.


With the new Prescriptor component, you will get a more comprehensive analysis of target metrics. You can get insights combining predictive and descriptive analytics for a target.

The Prescriptor component covers three main areas:
  1. what should be done each day to achieve a predicted target for a week/month/year
  2. what can be done to improvise in upcoming days if a daily target is missed
  3. what went wrong in the previous data
For a given Zia Target metric, Prescriptor will provide predicted target values for a week/month/year, predicted values for each day, and suggestions to achieve the predicted values each day. Reasons for Gap in the past data is not reached will also be included.

If a projected outcome was not met previously, a fresh boosting value will be implemented for future days, and adhering to the given insights will aid in attaining the ultimate objective, regardless of any shortfall in earlier data.


The predictor component identifies up to four top-performing picklist fields in your records whose values were most significant in defining the contributing factors. You can compare the performance and prediction of each value for different periods. These analysis will help you understand which group facilitated in achieving your goals.
For example, you can compare the Online banking metrics versus the predicted value for different periods and to see how it affected your performance.
You can also view the efficiency of other top-performing picklists by cloning the predictor component.
Additionally, you can edit the factors that contribute to the target.

Setting up Zia's Strategy Influencer

To set up Zia Strategy Influencer, follow these steps:
  1. Log into your CRM account with your administrator profile.
  2. Select Analytics from the list of modules.
  3. Click the +Zia Strategy Influencer button in the bottom-left of your dashboard.

  4. In the Add Strategy Influencer page, do the following:
    1. Provide a name.
    2. Select the metric by choosing the desired module.

    3. Select the measure by choosing the desired module operations.
    4. Add an associated date in the corresponding field.

    5. Define the objective of this dashboard.

    6. Click Done to create a new Zia Strategy Influencer dashboard.
  5. In the Target Contributors component, you can do the following:
    1. If you would like to change the duration, click on the duration dropdown from the right side of the screen.
    2. If you would like to retrain Zia, click on the Retrain button near the dashboard name.
    3. Click on the vertical ellipses icon near the duration dropdown to adjust values, adjust targets, or edit factors.
      1. To change the overall target manually, select the Adjust Target option from the dropdown and adjust the target toggle to the desired value and click Done.
      2. To change the expected values for each contributing factor, select Adjust Values from the dropdown menu, maneuver the toggle to the desired value for each factor, and click Done.
      3. To change the existing contributing factors, select the Edit Factors option from the dropdown menu, select or unselect the factors, and click Done.
  6. In the Anomaly Finder component, to view the insights for different period, click on the Duration dropdown and select the desired duration.
  7. In the Predictor component, you can do the following:
    1. To view the insights for a different period, click on the Duration dropdown and select the desired duration.
    2. To Clone the predictor component to see insights for other top picklists, click on the ellipses icon by the Duration dropdown and click Clone.
      1. In the clone predictor page, choose the picklist for which you would like to create a predictor component.
    3. To edit the values or factors in the predictor component, click on the ellipses icon near the Duration dropdown and click Edit Factors.

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