The cut you can't make
You've decided to simplify. Good decision, overdue, and you sit down with the list.
Then you look at it and every line has a case. Instagram might be where that client found you. The newsletter has gone out for three years and people say they like it. Podcast appearances feel like they matter, though you'd struggle to say why. The blog is slow but it's SEO, so presumably something is happening.
You cut nothing, because cutting is a bet and you can't price any of them.
That's the loop that holds a plateau in place, and it isn't a discipline problem. You can't cut what you can't see, and most businesses at this stage cannot see.
Why can't you tell what's working?
Because the tools report traffic sources, and what you need to know is which marketing produced belief. Those are different questions.
Open your analytics and you can learn where sessions came from. Organic search, direct, referral, social, a breakdown by channel with percentages that look authoritative.
None of that says which marketing changed someone's mind about buying.
Someone can arrive from a Google search that she only ran because she heard you on a podcast six weeks earlier. The podcast did the work. Search got the credit, because search was the last thing that happened before she landed.
Multiply that across a few hundred people and you have a dashboard that's accurate about traffic and misleading about cause.
What makes this harder for a business like yours?
Three things, and all three get worse as you get more established.
Your consideration window is long. People circle an offer like yours for months. Someone finds you in March, reads for half a year, and buys during a launch in September. Every tracking system will credit September.
Nobody arrives through one door. Podcast, then a blog post, then the list, then eight weeks of emails, then a launch. No single source caused it, and tools that assign credit to one source will pick one anyway.
A good chunk of your traffic is invisible. Someone sends your post to a friend in a DM. Your name comes up in a Slack group you're not in. Those arrive as direct traffic with no story attached, and for a business that grows through recommendation, that's a meaningful slice of your best people.
More years in business means more of all three. Attribution gets murkier as the business gets better, which is an unfair arrangement.
Won't better analytics fix it?
Not for the question you're asking. Analytics measures traffic well and measures persuasion poorly.
More tracking produces more precision about the wrong thing.
You can add UTM parameters to every link, install a heatmap, build out dashboards. None of it answers why someone decided to buy. The tools observe behavior on your site. The deciding mostly happens off it, in the week between the podcast and the purchase, in a conversation you'll never see.
Worth tracking anyway, since the data has uses. For this question it's a supporting document, not the answer.
What actually tells you something?
Trace backward from the people who paid you, rather than forward from traffic.
Flip the direction and the problem gets tractable.
Pull your last ten or fifteen buyers. Not leads, not subscribers. People who gave you money. For each one, work backward: where did she first come across you, what happened in between, what was she doing right before she bought.
Some you'll know cold. Some you'll half-remember. Some you'll have no idea about, and that gap is itself information about what you've been tracking.
The pattern that comes out of fifteen buyers is more useful than anything in your analytics, because it's built on the only outcome that matters. And it's usually a surprise. The channel producing buyers is frequently not the channel producing the most activity.
What should you ask buyers?
Two questions, and they're different questions.
Put them at checkout, in onboarding, or in a short note a week after purchase.
How did you first hear about me? This gets you the entry point. People remember this reasonably well, especially when it was a person or a specific episode.
What made you decide this was the right time? This gets you the mechanism, and it's the one almost nobody asks. The answer tells you which piece of your marketing did the convincing, and it'll name things your analytics has no visibility into. A particular email. A sentence someone quoted at them. A post they read four months before they ever joined your list.
Keep both open-ended. A dropdown of your channels returns your assumptions back to you in chart form.
How precise does this need to be?
Directional is enough. You're deciding what to stop, not building a financial model.
This is where people abandon the exercise, because the data feels too soft to act on.
Consider what you'd do with perfect numbers. If you knew LinkedIn produced 23% of revenue and Pinterest produced 2%, you'd put more into LinkedIn and drop Pinterest. Now consider what you'd do knowing only that LinkedIn shows up repeatedly in buyer stories and Pinterest never does. Same decision.
Precision matters for optimizing a spend. Direction is all you need for choosing what to keep, and choosing what to keep is the decision in front of you.
Fifteen buyer stories will give you direction. They'll also give you language, which is the part people don't expect, since buyers describe your work in words you can use.
What changes once you can see?
Cutting stops being a gamble, and the capacity that frees up goes somewhere it compounds.
First, the list gets shorter without anxiety. A channel that has never once appeared in a buyer's story is a channel you can stop, and stopping it costs you nothing you can measure.
Second, and this one is bigger. Attention that was split across twelve things concentrates into the three or four that keep showing up, and those perform differently at full strength than they did at a twelfth.
Third, you stop re-litigating it. The what-do-we-cut question has probably come up every quarter for two years. Answer it once with evidence and it stops taking up room.
The part I actually care about
Not being able to see which marketing works is the most expensive invisible problem in a business your size.
It keeps everything alive, which keeps capacity divided, which keeps every individual piece underpowered. The plateau isn't held in place by any of the twelve things. It's held by not being able to rule out any of them.
Fifteen buyers and two questions gets you further than another quarter of dashboards.
