Marketing Analytics

Marketing has a data problem. Not too little data — too much.

Between Google Analytics, Google Ads, Facebook Ads, social media insights, email marketing reports, and whatever other platforms you’re using, the average Tulsa business owner has access to hundreds of metrics across dozens of dashboards. Impressions, reach, sessions, pageviews, bounce rate, time on page, click-through rate, engagement rate, frequency, cost per click, cost per thousand impressions, video views, video completion rate, scroll depth, pages per session — the list goes on.

Most of these numbers are interesting. Very few of them help you make a better business decision. And the volume of data creates a paradox: the more numbers available, the harder it becomes to know which ones actually matter.

This isn’t a comprehensive analytics guide. It’s the opposite — a deliberately focused framework that identifies the five to seven metrics that tell you whether your marketing is producing business results, and helps you ignore everything else.

The Framework: Working Backward from Revenue

The clearest way to think about marketing analytics is to work backward from the outcome you care about — revenue — and identify the metrics at each stage that connect marketing activity to that outcome.

Level 1: Business Outcomes (The Only Metrics That Matter)

These are the numbers that appear on your P&L. They’re the reason marketing exists.

Revenue from marketing-attributed sources. How much revenue can be traced back to customers who came through marketing channels? This requires connecting your marketing data (which channels generated which leads) to your sales data (which leads became customers and what they spent). Not every business can track this perfectly, but even approximate attribution transforms how you evaluate marketing.

Customer acquisition cost (CAC). Total marketing spend divided by the number of new customers acquired through marketing. This single number tells you the efficiency of your entire marketing operation. If your CAC is $200 and your average customer generates $2,000 in revenue, the economics work. If your CAC is $800 and your average customer generates $500, something needs to change.

Customer lifetime value (CLV) to CAC ratio. The relationship between what a customer is worth and what it costs to acquire them. A healthy CLV:CAC ratio is generally 3:1 or higher — meaning a customer’s lifetime value is at least three times the cost to acquire them. Below 3:1, your marketing is working but not efficiently. Below 1:1, you’re losing money on every customer you acquire through marketing.

Level 2: Conversion Metrics (The Diagnostic Layer)

When business outcomes are off track, conversion metrics tell you where the problem lives.

Lead volume by channel. How many leads (calls, form submissions, inquiries) each marketing channel is generating. This tells you which channels are producing opportunities and which aren’t justifying their spend.

Cost per lead by channel. How much each lead costs from each channel. Google Ads might generate leads at $40 each. Facebook might generate them at $80. Organic search might generate them at effectively $0 marginal cost (since you’re already investing in SEO). These numbers tell you where to increase and decrease spend.

Lead-to-customer conversion rate. What percentage of marketing-generated leads become paying customers. If your conversion rate is 10 percent, you need 10 leads to get one customer. If your cost per lead is $50, your effective customer acquisition cost is $500. This metric also reveals whether the problem is lead quality (low conversion rate despite high volume) or lead volume (high conversion rate but not enough leads).

Level 3: Activity Metrics (The Early Indicators)

These are the metrics most marketing reports lead with. They’re useful as early indicators but misleading when treated as outcomes.

Website traffic by source. How many people visit your website and where they come from (organic search, paid ads, social media, direct, referrals). Traffic growth is directionally positive, but traffic without conversion is just activity.

Search ranking positions. Where your website appears for target keywords. Rankings are a leading indicator of organic traffic, which is a leading indicator of organic leads. Useful for tracking SEO progress but meaningless without connecting to actual business results.

Engagement rates. Social media engagement, email open rates, content interaction. These tell you whether your messaging is resonating. They don’t tell you whether that resonance is producing business.

The discipline is spending most of your attention on Level 1, using Level 2 to diagnose problems, and checking Level 3 only to understand directional trends. Most businesses have it inverted — they focus on Level 3 activity metrics because that’s what’s easiest to track and most reports emphasize.

Setting Up Tracking That Works

The biggest barrier to meaningful marketing analytics isn’t understanding metrics — it’s having the tracking infrastructure to measure them. Most Tulsa businesses have significant gaps in their tracking.

Google Analytics should be properly configured. Not just installed — configured with goals that match your business conversions. A goal for phone calls (tracked through a call tracking service or Google’s call extension tracking). A goal for form submissions. A goal for email list signups. Without goals, Google Analytics tells you about traffic. With goals, it tells you about results.

Call tracking bridges the online-to-offline gap. Many local businesses generate leads through phone calls, which creates an attribution problem — Google Analytics can see that someone visited your website, but it can’t see that they called you (unless you set it up to). Call tracking services assign unique phone numbers to different marketing channels, so you know exactly which channels are generating calls. For businesses where phone calls are a primary lead source, this is essential.

UTM parameters tag your campaigns. When you share a link on social media, in an email, or in an ad, adding UTM parameters (small additions to the URL) tells Google Analytics exactly where that traffic came from. Without UTMs, traffic from a Facebook post and traffic from a Facebook ad might both show up as “facebook” — and you can’t distinguish between paid and organic activity.

CRM integration closes the loop. The complete picture — from marketing activity to lead to customer to revenue — requires connecting your marketing data to your customer data. This is where a CRM (customer relationship management) system matters. When a lead enters your CRM tagged with the marketing source that generated it, and that lead eventually becomes a customer, you can calculate true marketing-attributed revenue.

This doesn’t require an enterprise-level CRM. Simple tools can handle this for most small businesses. The key is that every lead gets tagged with where it came from, and the tag follows the lead through to the sale.

The Monthly Review Ritual

Data without review is just numbers on a screen. A monthly analytics review — even a brief one — is what turns data into decisions.

Fifteen minutes is enough. You don’t need a three-hour analytics session. You need fifteen minutes looking at the right numbers and asking the right questions.

What was our cost per customer this month? Is it within our target? Better or worse than last month?

Which channels generated the most leads? Is the mix shifting? Should we shift budget accordingly?

What was our lead-to-customer conversion rate? If it’s dropping, the issue might be lead quality (marketing problem) or sales process (operational problem).

What did we spend and what did we get? Simple input/output. Total marketing spend versus total marketing-attributed revenue. Is the ratio healthy?

If all four answers are positive, continue what you’re doing. If any are trending negatively, dig into the Level 2 diagnostics to understand where the breakdown is occurring. Adjust. Then check again next month.

The businesses that review these numbers monthly — not quarterly, not annually — are the ones that catch problems early, capitalize on what’s working, and make incremental improvements that compound over time. It’s the same principle that applies to everything: small, consistent attention produces better results than periodic, dramatic interventions.