Topic 9 — Marketing metrics and tools

Goal: Know the numbers and tools that marketers and growth managers use.

Lesson 9.1 — The numbers you'll answer for

In Imogen's old life at the radio station, "did it work?" was a gut call. A segment felt like it landed, or it didn't, and the ratings book showed up months later to confirm or deny. At Verdana, the loop is faster and the answer is a number. In her first week, Hollis Bram, her manager, pulled up a dashboard and asked, "Of everyone who hit our pricing page last month, how many started a trial?" Imogen didn't know. Hollis smiled. "That's the job. By month two you'll have these in your head."

Modern marketing is accountable — you show what your work produced, in numbers, and you do it without heavy math. The arithmetic is mostly division and comparison. The skill is knowing which number answers the question on the table. Here are the ones Imogen learned to keep close:

• Conversion rate — the percentage of people who take a desired action (a visitor who starts a trial, a free user who pays). The most universal metric in marketing, and the focus of the next lesson.
• CAC — Customer Acquisition Cost — the average cost to win one paying customer through a channel. Spend $2,000 on ads, get 20 customers, your CAC is $100.
• LTV — Lifetime Value — the total revenue one customer brings over their whole relationship with you. You want LTV comfortably above CAC (Topic 8) — otherwise you pay more to get customers than they're worth.
• Traffic and its sources — how many people arrive, and from where: search, social, paid ads, direct, referral. The same 5,000 visits mean very different things depending on where they came from.
• Engagement — clicks, email opens, time on page. Small signals that content is landing.
• ROI / ROAS — return on investment, or return on ad spend. Did more value come out than you put in? Spend $1,000 on a campaign that drives $4,000 in revenue, that's a 4x return.
• Funnel, retention, and churn metrics — activation, retention, and churn from Topic 7, watched over time.

You don't need to be a math person here. You need to ask "compared to what?" and "did a real number move?"

Brigid Salas, who owns Iron Fern Studio and is one of Verdana's customers, doesn't care about any of this. She cares whether her studio fills its classes. Imogen's metrics are just the honest paper trail of whether Verdana is helping people like Brigid — and whether Verdana's own efforts are paying off.

Lesson 9.2 — Conversion rate, the lever that multiplies everything

Hollis hands Imogen a real problem. Verdana's pricing page gets about 5,000 visits a month. Right now, 3% of those visitors start a free trial. That's 150 trials. "Get me more trials," he says. "But the ad budget's frozen this quarter."

So she can't buy more traffic. The traffic she has is fixed at 5,000. The only knob left is the percentage that converts.

Conversion rate is the percentage of people who take the action you want, out of everyone who had the chance. Visitors who sign up. Free users who pay. Email recipients who click. You calculate it by dividing the number who acted by the total, then multiplying by 100. Here, 150 trials ÷ 5,000 visits = 3%.

Now watch why Hollis pointed Imogen here instead of at the ad budget. If she rewrites the pricing page headline to speak in Brigid's words — "fill your classes, get paid on time" — and trials climb from 3% to 4.5%, that's 225 trials from the same 5,000 visitors. Fifty percent more customers, zero extra spend.

That's the leverage. Improving conversion rate multiplies the value of every visitor you already have, every channel you already run, every dollar you already spent to get them there. It's why growth teams obsess over it.

Buying more traffic costs money forever. Lifting conversion rate is a one-time fix that pays out on all your traffic, indefinitely.

This is also where Imogen's old craft pays off. A better conversion rate usually comes from a clearer message, a sharper headline, a more honest promise — the things she already knows how to do. The metric just tells her, truthfully, whether the change worked.

Lesson 9.3 — Vanity metrics, the numbers that flatter you

Imogen runs a contest on Verdana's Instagram. Free year of Verdana for a lucky studio owner. The post explodes — 4,000 new followers in a week. She brings the screenshot to the team meeting, a little proud.

Devesh Patil, the PM, asks the quiet question: "How many of them started a trial?"

Eleven.

That number — 4,000 followers — is a vanity metric: a figure that looks impressive but doesn't connect to a real business outcome. Total followers, raw page views, impressions, likes. They feel like progress because they go up and to the right. But a follower who'll never become a customer is decoration, not growth.

The fix is to keep these numbers but always ask one more question: what real outcome does this tie back to? Four thousand followers tied to eleven trials is a weak result wearing a strong costume. The honest metric was the eleven.

A simple test Imogen now uses: would this number survive Brigid asking "so what?" Page views don't. Trials, paying customers, and retained members do.

Lesson 9.4 — The tool categories (learn the shelf, not every bottle)

Imogen's second-week panic was the tool list. Hollis rattled off eight names in one breath and she wrote down maybe three. Then he told her the thing that defused it: "Don't memorize products. Learn the categories. Every company picks a different bottle off the same shelf, and once you know the shelf, any new tool takes an afternoon to learn."

Here's the shelf:

Category	What it does	Common tools
Analytics	Measure traffic and user behavior	Google Analytics (GA4) for web; product analytics like Amplitude, Mixpanel, PostHog (these also do funnels and experiments)
Email / automation	Send and automate campaigns	Mailchimp, HubSpot, Klaviyo, Customer.io
CRM	Track leads and customers, especially with a sales team	HubSpot, Salesforce
SEO	Keyword research and ranking (Topic 6)	Ahrefs, SEMrush, Google Search Console
Advertising	Run paid campaigns	Google Ads, Meta (Facebook/Instagram) Ads, LinkedIn Ads
Content / social	Publish and schedule	A CMS like WordPress; schedulers like Buffer or Hootsuite

A note on A/B testing: it's often not a separate tool at all. It's baked into product-analytics platforms like PostHog and Amplitude, so the same tool that shows you the funnel can run the experiment that improves it. Some companies use a dedicated testing tool instead. Either way, the capability matters more than the brand name.

At Verdana, the actual stack is GA4 plus PostHog for product analytics, HubSpot for email and CRM together, Google Search Console for SEO, and Google and Meta Ads. Imogen learned those specific tools on the job in a couple of weeks — because she already knew what each category was for. When she interviews somewhere new and they use Mixpanel and Salesforce instead, she won't blink. Same shelf, different bottles.

Lesson 9.5 — Spreadsheets, AI, and staying tool-aware not tool-obsessed

Two everyday tools didn't make the fancy category list, and Imogen uses them more than any of the rest.

The first is the spreadsheet — Excel or Google Sheets. Wren Okafor, the account executive, lives in one tracking deals. Hollis plans the quarter's budget in one. Imogen tracks every campaign's spend and result in one. Spreadsheets are where messy reality gets lined up into rows you can actually compare. Basic comfort — a few formulas, a sort, a quick chart — speeds you up.

The second is AI — tools like ChatGPT or Claude. They've become part of the kit for drafting first-pass copy, brainstorming campaign angles, summarizing a pile of customer-interview notes, and sorting feedback into themes. Imogen uses one to turn forty messy notes from studio-owner calls into five clear pain themes in minutes, then she sharpens the wording herself. The AI gets her to a draft; her judgment makes it good. (You're learning on an AI-built platform right now, so this is familiar ground.)

Which leads to the principle that ties this whole topic together. Be tool-aware, not tool-obsessed. A tool measures and a tool executes, but no tool understands Brigid's frustration, writes the headline that finally clicks, or reads a result honestly when the honest read is disappointing. That's the craft, and it stays human.

Measure honestly, and let data guide creativity. The tool tells you the truth; you decide what to do about it.

The strongest marketers aren't pure artists or pure analysts. They're the blend Imogen is becoming: a storyteller who checks whether the story actually moved a real number.

Worked example — Imogen rescues the "explosive" campaign

The Instagram contest is over. Imogen has 4,000 new followers, eleven trials, and a meeting in an hour. She decides to do the honest analysis instead of showing the follower screenshot.

She opens a spreadsheet and lays out what she actually knows. The campaign cost: $600 — the prize value, a free year of Verdana. New paying customers from it: two (of the eleven trials, two converted). That's a CAC of $300 for this channel ($600 ÷ 2) — and Verdana's typical CAC is around $120. This channel cost more than double to acquire a customer. (She knows her own hours weren't free either, but the prize is the hard cost she can put a clean number on, so that's what she reports.)

She pulls GA4 to check traffic sources. The contest drove a spike in social traffic, but those visitors had a conversion rate to trial of 0.3%, against the site's usual 3%. The followers came for a free prize, not for Verdana. Classic vanity metric: 4,000 looked like a win and tied back to almost nothing.

Then she checks PostHog for the trials that did start. The two who paid both came in through search, found the pricing page, and converted at the normal rate. The contest hadn't helped them; they'd have come anyway.

She asks Claude to help her summarize the finding into three plain sentences for the meeting, then rewrites them in her own voice.

In the meeting she doesn't show the follower count. She says: "The contest cost us $600 and a CAC of $300, double our normal. Followers aren't converting. I'd kill it and put that budget toward a pricing-page rewrite — lifting our conversion rate even one point is worth more than another 4,000 followers." Devesh nods. Hollis writes it into the experiment backlog.

One campaign, read honestly with five tools and zero spin. That's the job.