---
title: "KPIs that predict the result."
url: "https://www.omnicliq.com/en/digital-transformation/kpi-framework/"
description: "Three levels of indicators: what leadership tracks, what guides daily decisions and what warns you about the result before it arrives."
category: "digital-transformation"
locale: "en"
---

# KPIs that predict the result.

> Three levels of indicators: what leadership tracks, what guides daily decisions and what warns you about the result before it arrives.

## Three levels of KPIs, one system.

Most businesses have many KPIs and weak measurement. Dashboards multiply, leadership sees numbers it can't directly influence, teams work with numbers that aren't tied to leadership's priorities and nobody tracks what predicts the next result.

We build a framework on three levels. Leadership indicators: revenue, margin, cash flow, market share. Operational indicators teams can influence: customer acquisition cost, conversion rate, repeat purchase, performance by channel. And indicators that warn 4–12 weeks ahead, such as brand searches and pipeline composition.

The three levels connect: leadership indicators are explained by operational ones, and those are predicted by the warning indicators. When it works properly, you don't just see what happened but what is coming.

## What changes for you.

- **Three levels** — Leadership, operational and predictive indicators, aligned with each other. Each team sees only what it needs, in dashboards built for decisions, not reassurance.
- **Predictive indicators** — We find the indicators that predict results in your own business, not generic industry figures.
- **Measurement base** — We build the base under the KPIs: server-side tracking, first-party data and recognising users across devices and channels, for a clean and reliable signal.
- **Dashboards by role** — For leadership, marketing, sales and operations. Each shows the part that matters, with no information that causes confusion.
- **Attribution** — Our own attribution models that support the KPIs. Last-click, first-click, data-driven and marketing mix are used depending on the decision, not one for everything.
- **Link to strategy** — The framework closes the loop with the strategic plan. When the predictive indicators drift, the plan adjusts. The system shows it early, it doesn't hide it.
## How we work.

1. **Audit** — We examine existing KPIs, dashboards and measurement: what is measured, what is reported and what is finally used for decisions, since these rarely match.
2. **Design** — We design the three-level framework for your business and define the predictive indicators, attribution models and dashboard structure by role.
3. **Delivery** — We build or upgrade the measurement base, create the dashboards and set up the data pipelines and attribution, through our BI practice.
4. **Activation** — We train the teams and set up weekly and monthly review meetings. The framework becomes how decisions are made, not one more dashboard.
## FAQ

### How many KPIs should we have?
Fewer than you have now. For leadership 5–10 core indicators are usually enough, for each team 10–20 and for prediction 3–7. Overall, a business's KPIs often drop by nearly half.

### How is this different from building better dashboards?
Dashboards are the output, the framework is the logic behind them. Without a framework, the prettiest dashboards show numbers that don't lead to decisions. Here we define what you measure, how, and how it connects to your decisions.

### Do you work with the BI tools we have?
Where they meet your needs, yes. Where not, we recommend replacing them through our BI practice. The framework is independent of tools and the implementation fits your size.

### What about real-time versus batch reporting?
Most decisions don't need real-time data but correct data on a weekly or monthly rhythm. Where real time changes decisions, such as ad bidding, we implement it. Where not, we don't pretend it's needed.

### Do you build custom attribution models?
Yes, it's a core part of our BI work. We use last-click, first-click, linear, data-driven and marketing mix models depending on the decision. Attribution feeds both the KPI framework and campaign optimisation.