Insights
The marketing metrics that matter (and the ones to ignore)
Which numbers tell you whether marketing is paying for itself, which ones only look good in a report, and how to keep track of the right ones without a data team.
Marketing tools produce more numbers than anyone can read. Ad platforms, analytics, social apps and email software each have their own dashboard, and most of them lead with the figures that make the platform look busy: impressions, reach, followers, sessions.
None of those numbers are useless, but few of them answer the question a business owner actually has: is this bringing in customers at a cost we can afford? This guide sorts the metrics into the ones that answer that question and the ones that only help explain it.
The metrics that pay the bills
Start with outcomes. These are the numbers your accountant would recognize.
Leads and sales
Count the inquiries, bookings, calls and sales that marketing produced, by channel where you can. For an online store, that is orders. For a service business, it is usually form submissions and phone calls, followed by the jobs they turned into. If you track only one thing, track this.
Cost per acquisition
Divide what you spent on a channel by the number of leads or customers it produced. Cost per lead tells you how efficiently a channel creates inquiries. Cost per customer, which is the one that really matters, tells you what it costs to win business. Compare both with what a customer is worth, and you know whether a channel is paying its way.
Lead quality and close rate
Two channels can produce leads at the same cost and very different value. If one sends people who are ready to buy and the other sends people looking for free advice, the cheaper-looking channel may be the expensive one. Track what share of leads from each source become customers. A simple column in your lead spreadsheet or CRM, filled in honestly, is enough.
Efficiency and value
Once outcomes are tracked, these metrics explain why the numbers look the way they do and where to improve.
Conversion rate
Google defines conversion rate as conversions divided by the ad interactions that can be tracked to a conversion: 50 conversions from 1,000 interactions is 5%. The same idea applies to a landing page or a whole website. It is the most direct measure of whether a page persuades people, and improving it lowers your cost per lead without touching the budget.
Customer lifetime value
Lifetime value is the gross profit a customer brings over the whole relationship, not just the first sale. It matters most for businesses with repeat customers, such as salons, accountants or subscription services, because it shows how much you can afford to spend to win a customer who stays. Be conservative: early on, use first-year value and adjust as you learn how long customers stay.
Return on ad spend versus profit
Return on ad spend (ROAS) is revenue divided by ad spend. Google's target ROAS documentation gives the example of $5 in sales from $1 of ad spend, a ROAS of 500%. It is a useful efficiency measure for online stores, but it is built on revenue, not profit.
Hypothetical example. A store selling products at a 25% gross margin achieves a ROAS of 400%. Every $1 of advertising brings in $4 of sales, which leaves $1 of gross profit: exactly the cost of the ad, with nothing left for overheads. A ROAS figure that looks impressive in a report can still mean the advertising is breaking even at best. Always check ROAS against your margin.
Assisted conversions
Customers rarely buy after a single touch. Someone might find you through a search, see a social post a week later, and finally book after clicking an ad. In Google Analytics 4, the key event attribution paths report shows which channels initiate, assist and close key events. A channel that rarely gets the last click but often appears early in the path is doing real work, and cutting it on last-click numbers alone can hurt the channels it feeds.
Vanity metrics, and when they are useful
A vanity metric is one that can rise while the business stands still. The problem is not the number itself, it is treating it as proof of success. Each of these has a legitimate use.
| Metric | Why it misleads on its own | When it is useful |
|---|---|---|
| Impressions | Being shown is not the same as being noticed, let alone chosen. | Awareness campaigns, and in Search Console as a sign of how often you appear for the searches you care about. |
| Followers | A follower count says nothing about who buys. | Tracking the growth of an audience you can reach with organic posts. |
| Raw website traffic | Visits from the wrong audience, or from automated traffic, inflate it without adding customers. | When broken down by source and set against leads from each source. |
| Likes and reactions | Easy to give and rarely connected to buying. | Comparing which messages and images resonate before you put ad money behind them. |
| Bounce rate | A visitor who finds your phone number and calls straight away can still count as a bounce. | Comparing landing pages that serve the same purpose and audience. |
| Average position | One figure blends many different searches, so it can move without meaning much. | Following a specific query or page over time in Search Console. |
Two of these are worth a closer look. In Google Analytics 4, bounce rate is the percentage of sessions that were not engaged, where an engaged session lasts longer than 10 seconds, includes a key event, or has two or more page views. That is a much better definition than older versions of the metric, but a short, successful visit can still count as a bounce.
Average position has a history too. Google removed average position from Google Ads in 2019 and recommends the search top and absolute top impression rates instead. In Search Console, average position is the topmost position your site held, averaged across all the queries where it appeared, so one figure for a whole site rarely tells you much.
Build a simple monthly dashboard
You do not need specialist software. A single page in a spreadsheet, updated once a month, beats a sophisticated dashboard nobody opens. Give each channel a column and keep the rows the same every month:
| Row | Where it comes from | Why it is there |
|---|---|---|
| Spend | Ad platform billing, plus any fees | The cost side of every calculation |
| Leads | Your own lead list or CRM, by source | The outcome, counted once |
| Cost per lead | Spend divided by leads | Efficiency at the top of the funnel |
| New customers | Your sales records, by lead source | Shows whether leads turn into business |
| Close rate | New customers divided by leads | Lead quality by channel |
| Cost per customer | Spend divided by new customers | The number to compare with customer value |
| Gross profit from new customers | Sales records and your margin | Whether the channel is paying for itself |
Below that, add one or two diagnostic metrics per channel, such as conversion rate for ads or calls and direction requests for your Google Business Profile, so you can see why a number moved.
To feed it, make sure the actions that matter are tracked everywhere. In Google Analytics 4 they are marked as key events, and in Google Ads they are conversions. Record the source of every lead in one place you control, including phone calls and walk-ins, and ask new customers how they heard about you.
Then keep a monthly routine:
- Fill in the same rows for the same calendar month.
- Compare with the previous month and the same month last year if you have it, since many businesses are seasonal.
- Write one or two sentences on what changed and why you think it did.
- Decide one thing to change next month, and note it so you can check the result.
Attribution caveats
Attribution is the job of deciding which marketing gets credit for a sale, and every tool does it its own way. A few things to keep in mind:
- Platforms count their own way. Google Ads offers data-driven and last click attribution, with data-driven as the default for most conversion actions. Other platforms use their own models, windows and rules.
- Tools disagree about dates. Google notes in its guide to data discrepancies that Google Ads reports conversions on the ad impression date, while other reporting tools use the conversion date. Lookback windows, counting settings and cross-device conversions also cause differences.
- Totals do not add up. If a customer clicked a Google ad and a social ad before buying, both platforms may claim the sale. Adding platform-reported conversions together overstates results.
- Some marketing is invisible. Word of mouth, a sign in the window or a conversation at an event will never appear in an analytics report.
The practical answer is to treat each platform's figures as a guide to optimizing within that platform, and to judge overall performance against your own count of leads and customers. When the two disagree, your sales records win.
Want clearer numbers?
Getting tracking right is often the most valuable work in a marketing plan, because every later decision depends on it. If you would like help setting up measurement, cleaning up conversion tracking or building a dashboard your team will actually use, it is part of how we run pay-per-click advertising and search engine optimization. Get in touch and we will start by looking at what you measure today.
