Audience–market fit: selling what your people need

0:00 Audience–market fit

Imagine you're offered two campaigns on the same day. One pays a big commission on a luxury watch. The other pays a small commission on a power bank. Which one earns you more? If you said the watch, this lecture might save you a month of wasted posts. You'll learn the three-circle test for audience and market fit, a scorecard you can use on any offer, and how to decline a bad fit without burning a bridge.

0:33 Why fit comes first

Why does fit matter so much? Because the product can be excellent and the campaign can still flop. A fitness creator in Dubai promoting a budget protein bar may do well. The same creator promoting a luxury watch gets likes, but very few sales. Not because the watch is bad, but because people followed for training advice, not status purchases. In business-to-business selling it's the same. If your LinkedIn audience is mostly other salespeople, you're entertaining your peers, not your buyers. So fit is the first filter, before content, before hooks, before anything.

1:13 Learning what they need

How do you find out what your audience actually needs? You probably know less than you think. Start with platform analytics: age range, top cities and countries, active hours. The location split surprises a lot of creators. Then read your comments and messages and keep a simple note of repeated questions. Phrases like which one is best for, and where can I buy this, are buying signals. Use polls and question stickers to ask directly. And look at what people save versus what they share. Saves suggest reference value. Shares suggest identity, as in, this is so me. Put those four sources together and you'll write a one-paragraph profile that becomes your filter for every offer.

2:03 The three-circle test

Here's the concept. Draw three circles. The first is need: does this solve a problem your audience has actually told you about, in comments, messages or polls? The second is means: can a typical follower afford it, and can they buy it where they live, in their currency, with delivery and returns? The third is credibility: can you speak about it from real use or genuine expertise? Where all three overlap, selling feels like helping. Think of it like a doctor. A good prescription needs a real symptom, a medicine the patient can get, and a doctor who knows the drug. Miss any one, and it fails.

2:50 Decision rule

The decision rule is simple. Three out of three, go for it. Two out of three can work with extra effort. For example, you can build credibility by testing the product properly for two weeks before posting. One out of three is usually a pass. And there's a fourth check that overrides everything: compliance. If the category or the claim isn't allowed in one of your main audience countries, it's a no, however good the fee.

3:23 Example 1: Omar, Riyadh

First example, the simple one. Omar runs a tech tips account with followers mostly in Riyadh and Jeddah, many of them students. Campaign A is a premium headset that only ships within the European Union. Campaign B is a mid-range power bank sold by a regional online store, with a discount code. Run the circles. A fails means: price and shipping. B passes need, because students travel and run out of battery. It passes means: affordable, local delivery. And it passes credibility, because Omar already reviews accessories. He picks B.

4:02 The maths of fit (illustrative)

And here's the surprising part of Omar's choice. Campaign B pays a lower commission per sale. So does he lose money? Let's use illustrative numbers. Suppose one in two hundred viewers uses his code on the power bank, but only one in five thousand buys the headset. Even with a much smaller commission, the power bank earns far more, because it actually sells. Commission per sale is the number brands advertise. Earnings per thousand people reached is the number that pays your bills. Always do that quick sum before you choose.

4:42 Example 2: Sana's agency (illustrative)

Now a realistic business scenario, with illustrative numbers. Sana runs a two-person social media agency in Karachi and sells a monthly content package. Her LinkedIn following is growing fast, but it's mostly marketers in the UK and US who like her tips. Her buyers are actually owners of restaurants and clinics in Karachi and Lahore. So she writes a one-paragraph ideal customer profile, checks her follower analytics by location and job function, and realises that perhaps only one in ten followers could ever buy. She shifts half her posts to questions her local clients ask, in English and Urdu. Illustratively, her follower growth slows, but discovery calls booked per month double. Fewer fans, more fit.

5:32 Watch me do it: scorecard

Watch me do it. I'll score a real-looking offer with the scorecard from the lesson. The offer: a skincare brand wants a creator with a mostly Pakistani audience to promote a serum that sells in the UAE only, priced at about the cost of a week's groceries, and the brief says it clears acne. Need? Followers ask about acne a lot. Two points. Price? A stretch for most. One point. Access? No delivery to Pakistan. Zero. Credibility? She hasn't used it. Zero, for now. Timing? Nothing special. One. Compliance? The brief wants a medical claim she can't substantiate. Zero. And a zero on compliance means the answer is no, whatever the total says. Now I write the decline: thanks, most of my audience is in Pakistan where you don't deliver yet, and I can't make medical claims, but I'd love to talk if that changes.

6:35 Common mistakes

Common mistakes. Assuming your audience mirrors you. Check the analytics; the location split often surprises people. Chasing the highest commission when the product is irrelevant. Ignoring the signals after launch, like high likes and low clicks, or lots of is this available in my country? And in regulated categories, like medicines, financial products or gambling, promoting without understanding the extra rules in each country you reach.

7:04 Measuring fit

How do you measure fit once a campaign is live? Look at ratios, not likes. Compare click-through rate and code uses per thousand reach with your own average. Normal reach but half your usual clicks means the audience isn't in the market. Normal clicks but low conversions means check price, delivery and checkout before you blame the content.

7:29 Recap + try this now

Recap. Fit is the overlap of need, means and credibility, with compliance as an override. Score every offer before you say yes. Decline poor fits politely and specifically. And judge fit afterwards by ratios against your own averages. Your try-this-now action: write a one-paragraph profile of your typical follower, or your ideal customer if you sell business to business, using your analytics. Then score the next offer you receive. Next up, we map the journey from stranger to repeat buyer.