# How to Understand What’s Actually Working in Your Business (And What Isn’t)

> Start with the questions you want answered, check the data exists, connect the systems, and turn it into decisions.

Source: https://go.cosmocalifornie.com/cmto-3-en
Author: Sonny Hughey, Cosmo Californie Media
Published: 2026-10-09 · Updated: 2026-10-14
Type: Article · Topic: Strategy

**In short:** This guide gives businesses earning between $500K and $5M a year a five-step structure for understanding what is actually driving growth. Write down the questions you want answered, push each one a level deeper for comparison, check whether the data exists and where it lives, connect the systems with tools such as Zapier, Make or n8n, and visualise the result in Google Looker Studio so you can answer the original questions with confidence. The goal is better commercial decisions rather than better dashboards.

- **Client Type:** ARR $500k-$5M
- **Industry:** All Businesses
- **Service:** Fractional CM(T)O

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![Chart](https://assets.cdn.filesafe.space/isqcpFDwzlfBJ9K1l2nd/media/6ac95240195f9172ed1df027.png)

## Challenges / Opportunities

As businesses grow, they inevitably reach a point where intuition stops scaling.

Leads are coming in. Revenue is increasing. The team is busy.

Yet leaders still struggle to answer fundamental questions:

- What is actually driving growth?

- What isn’t working as well as we think it is?

- If something *is* working, **why** is it working?

These are deceptively difficult questions—especially in businesses earning between $500k and $5M annually, where operations are no longer simple and not yet fully systematized.

This guide introduces a **practical, repeatable structure** to help you understand what is happening across marketing, sales, and purchase behavior—so decisions are based on clarity, not guesswork.

### Step 1

Start by writing down the questions you actually want answered—and not the metrics you think you *should* be tracking.

Strong questions are:

- Decision-oriented

- Revenue-adjacent

- Specific to how your business operates

Examples:

- *How well did Salesperson 1 close leads that showed up for a discovery call for Product 1?*

- *What are my true marketing overhead costs to generate a scheduled patient from Facebook Ads?*

At this stage, don’t worry about feasibility. Focus on clarity for yourself as a business owner. If you could confidently answer these questions, your next business decisions would immediately improve.

### Step 2

Once you have your primary questions, push each one a level deeper.

This is where insights begin to form.

For example:

- How did Salesperson 1 compare to their peers?

- How did they perform relative to the team average?

- Is Facebook Ads more effective than Google Ads—or just louder?

Sub-questions introduce **context and comparison**, which is essential. Raw numbers alone rarely tell you what is working; performance only becomes meaningful when placed side by side with alternatives.

### Step 3

Now comes the operational reality check.

To answer your questions, you need to know whether the required data is actually being collected—and where it lives.

In most modern businesses running ads and operating a website, much of this data already exists by default. It simply hasn’t been connected or reviewed intentionally.

Common data sources include:

- Google Analytics

- Your ad platforms (Meta, Google, etc.)

- Your website and associated tools or plugins

- Your CRM

- Your online store (for product-based companies)

- An EHR database (for healthcare-related businesses)

If someone on your team oversees these systems, this step usually starts with conversations.
If that person is you, this is often the point where businesses benefit from working with a tracking or systems expert—someone comfortable inside websites, CRMs, and data flows.

Most growing businesses already have what they need. This step is about identifying the inputs worth paying attention to.

### Step 4

Most platforms provide internal reporting tools, and some of your questions may be partially answerable within them.

However, it’s rare for any single system to tell the full story.

True insight requires data to move across platforms—marketing data connecting to sales outcomes, and sales outcomes tying back to revenue.

This is where automation and integration tools become essential:

- Zapier

- Make

- n8n

- IFTTT

- And similar solutions

These tools allow information to be shared, normalized, and stored—often without requiring custom development. For growing businesses, they are frequently the bridge between “we have data” and “we understand our business.”

### Step 5

Once your data is centralized, analysis becomes possible—but only if the information is presented clearly.

One of the most accessible and cost-effective tools for this is Google Looker Studio.

Looker Studio allows you to:

- Combine multiple data sources

- Build dashboards tailored to your questions

- Share insights across teams

Even when direct integrations aren’t available, pairing:

- Your original data source

- An automation tool mentioned in Step 4 and

- Google Sheets

…will usually allow you to visualize the information in a way that makes patterns—and problems—immediately visible.

At this point, you can finally return to your original questions and answer them with confidence.

## Why This Matters More Than “Tracking Metrics”

The goal of this framework isn’t better dashboards.

It is to make better commercial decisions.

When applied correctly, this process:

- Reduces tension between marketing and sales

- Identifies where revenue is leaking

- Clarifies which activities deserve more investment—and which don’t

- Replaces opinions with evidence

Importantly, it also reveals that what’s “not working” is often not a failure—just a mismatch between effort and outcome.

## What This Looks Like in Real Business

In theory, this structure is straightforward.  In practice, every business surfaces different blind spots depending on its sales model, technology stack, and growth stage.

In the following case studies, I’ll show how this framework was applied in real companies—what questions they asked, what they discovered, and how those insights translated into measurable revenue outcomes.

→ [SEO Agency Attempting to Expand into PPC Services](https://sonnyhughey.notion.site/2f6ff4e3dbf28045a2bdc8f610c8dcef?pvs=25)

→ [2025 Case Study, Section about Tracking](https://go.cosmocalifornie.com/blog-1-en)

## Questions

### What are the five steps?

First, write down the decision-oriented, revenue-adjacent questions you actually want answered, such as how well one salesperson closed leads who showed up for a discovery call. Second, add sub-questions that introduce comparison, such as how that person compares with the team average. Third, check whether the required data is collected and where it lives. Fourth, connect the sources so marketing data meets sales outcomes. Fifth, visualise it so patterns and problems are visible.

### Where does the data usually live?

Google Analytics, the ad platforms such as Meta and Google, the website and its plugins, the CRM, the online store for product businesses, and the EHR for healthcare practices. Most growing businesses already have what they need. The work is identifying which inputs matter and connecting them.

### Which tools connect and visualise the data?

Zapier, Make, n8n, IFTTT and similar tools move and normalise information between platforms without custom development. Google Looker Studio combines the sources into dashboards built around your questions, and where a direct connection is missing, the source plus an automation tool plus Google Sheets usually gets the data into view.

### Why does this matter more than tracking metrics?

Applied properly, the process reduces tension between marketing and sales, shows where revenue is leaking, clarifies which activities deserve more investment and replaces opinions with evidence. It also shows that what is "not working" is often a mismatch between effort and outcome rather than a failure.

### Where can I see the framework applied?

In our [Looker Studio dashboard case study for a restoration marketing agency](https://go.cosmocalifornie.com/looker-1-en) and in the tracking section of the [2025 review](https://go.cosmocalifornie.com/blog-1-en).