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Digital Marketing
Week 4
Beginner

Session 7: Reading the Numbers

Ellis Dennis Graham 105-minute class 14 min read · 2,019 words

Likes do not pay rent. This session teaches the metrics that actually matter — reach, impressions, engagement, clicks, leads, conversions and cost per result — how they relate to each other, and how to read a campaign honestly enough to know what to change.

Learning objectives

By the end of this session you will be able to do each of these without prompting.

  • Distinguish reach, impressions and engagement and know what each tells you
  • Calculate click-through rate and understand what a low one means
  • Define a lead and a conversion and measure both
  • Calculate cost per result and compare it against margin
  • Read a full campaign funnel and find where it leaks
  • Tell the difference between a real signal and noise

The taught content

Reach, impressions and engagement

Reach is how many different people saw your content. Impressions is how many times it was displayed — the same person seeing it three times counts three impressions. Impressions above reach means repetition, which is useful for remembering but eventually becomes annoying; a ratio far above three usually means the audience is too small or the campaign has run too long.

Engagement is what people did: likes, comments, saves, shares, clicks. The raw number is meaningless without context — what matters is engagement relative to reach, because 50 engagements from 500 people reached is a completely different result from 50 engagements from 20,000. Divide engagements by reach and you have a rate you can compare between posts, which is the only comparison worth making.

Then rank the engagement types by value. Saves and shares mean the content was worth keeping or passing on, and they are strong distribution signals. Comments mean it started a conversation and are also strong. Clicks mean someone wanted more, which is the closest thing to buying intent. Likes are the cheapest action a person can take and the weakest signal of all — which is why an account can have many likes and no customers.

Clicks and click-through rate

Click-through rate (CTR) is clicks divided by impressions, expressed as a percentage. It answers one question: of everyone who saw this, how many wanted to know more? A low CTR is not a problem with your product — it means the creative or the first line did not earn the click. People saw it and moved on, so change what they saw, not what you sell.

Benchmarks vary by platform and industry, so comparing yourself to a global average is not useful. Compare your own posts to each other: if your average CTR is 1% and one post reached 3%, that post's opening and creative are worth repeating. Your own history is the only honest benchmark you have, and it takes about twenty posts before it becomes reliable.

One warning: a high CTR is not automatically good. Clickbait produces clicks from people who will not buy, and they arrive at your WhatsApp and leave, costing you the click and the conversation. The number to trust is not CTR alone but clicks that turn into enquiries, which is the next stage in the funnel.

Leads, conversions and cost per result

A lead is someone who showed interest and gave you a way to reach them — a message, a form, a phone number. A conversion is the action you actually wanted: a sale, a booking, a registration. They are different numbers, and the ratio between them tells you how well you sell, not how well you market.

Cost per result is what you spent divided by the results you got — cost per click, cost per lead, cost per sale. This is the number that decides everything, and it only means something compared to your margin. If a product earns you ₦4,000 profit and a sale costs ₦1,200 to acquire, the campaign works. If acquisition costs ₦5,000, no amount of optimisation makes it profitable — the price, the offer or the product has to change.

That last point is the one most beginners resist, because it feels like giving up. It is not: it is the difference between marketing and gambling. A campaign that cannot reach a sustainable cost per result is telling you something true about the offer, and continuing to spend against it is how a small budget disappears entirely. Set the affordable cost per result before you spend, from the margin, and judge against that number.

Reading the funnel

Every campaign is a funnel: impressions → clicks → enquiries → sales. Read it in order and the problem names itself. Many impressions and few clicks means the creative or hook failed. Many clicks and few enquiries means the destination or ask failed — the advert and the profile said different things, or nobody answered. Many enquiries and few sales means price, delivery, trust or follow-up failed, and that is a selling problem rather than a marketing one.

Working backwards is the discipline. Start from the result you wanted and walk back to the first stage where the number collapsed. Beginners do the opposite: they see low sales and change the advert, when the advert was fine and the WhatsApp replies were taking a day. Fixing the wrong stage is the most expensive mistake in paid promotion, and it is entirely avoidable by reading the numbers in order.

Then change one thing at a time and give it enough time. If you change the creative, the audience and the offer in the same week, you will not know what worked, and you will have spent money to learn nothing. One variable, a full week, then read again.

Signal versus noise

Small numbers lie. A post with 40 impressions that produced 3 clicks has a 7.5% CTR, which means nothing — with numbers that small, one person behaving differently changes everything. As a rough rule, do not draw conclusions from fewer than a few hundred impressions or a couple of dozen clicks; below that, you are reading weather rather than a pattern.

Nor does one good result prove anything. Posts perform differently by day, time, mood and luck, so a single outstanding post may be a fluke. The reliable evidence is a pattern across several similar posts — if your how-to posts consistently outsave your product posts across a month, that is a finding. If one how-to post did well once, it is an anecdote.

Finally, watch for vanity metrics: follower count, likes, reach. They are pleasant to watch and they do not pay for anything. The metrics that matter are enquiries, sales and cost per result, and a report built on the first group will always look better than one built on the second — which is exactly why people build them that way. Build the honest one.

Instructor demonstration

The instructor opens a real campaign's analytics, calculates every metric by hand from the raw numbers, reads the funnel stage by stage to find where it collapsed, compares the cost per result against the product margin, and separates a genuine finding from noise.

  1. 01

    Open the real numbers

    Pull impressions, reach, engagements, clicks, enquiries and spend from an actual campaign. Explain that every calculation that follows uses these and nothing invented.

  2. 02

    Compare reach with impressions

    Divide impressions by reach and interpret the ratio. Explain that a high ratio means repetition, which eventually becomes annoying rather than memorable.

  3. 03

    Calculate engagement rate

    Divide engagements by reach rather than quoting the raw number. Explain that 50 engagements means nothing without knowing how many people saw it.

  4. 04

    Rank the engagement types

    Order saves, shares, comments, clicks and likes by value. Explain that likes are the cheapest action and the weakest signal.

  5. 05

    Calculate click-through rate

    Divide clicks by impressions and compare against the account's own history. Explain why your own average is the only honest benchmark.

  6. 06

    Diagnose a low CTR

    Show that the problem is the creative or first line, not the product. Explain that changing what you sell because nobody clicked is the wrong conclusion.

  7. 07

    Count the leads

    Define what counted as a lead and separate genuine enquiries from curiosity. Explain that the lead-to-sale ratio measures selling, not marketing.

  8. 08

    Calculate cost per result

    Divide spend by leads and by sales separately. Explain that cost per click, per lead and per sale are three different numbers answering three different questions.

  9. 09

    Compare against margin

    Set the acquisition cost against the profit per sale and state plainly whether the campaign works. Show a case where no optimisation can save it.

  10. 10

    Read the funnel in order

    Walk impressions, clicks, enquiries, sales and name the stage where the number collapsed. Explain that the stage determines the fix.

  11. 11

    Identify the wrong-stage fix

    Show a campaign whose advert was changed when the real failure was reply time. Explain that fixing the wrong stage is the most expensive mistake available.

  12. 12

    Test for noise

    Compare a result based on 40 impressions with one based on 4,000. Explain the rough minimums before a number means anything.

  13. 13

    Find a real pattern

    Group a month of posts by type and compare their averages. Explain that a pattern across several posts is a finding while one good post is an anecdote.

Guided practice

Read a campaign honestly

You take a real campaign — yours or a classmate's — calculate every metric by hand from the raw numbers, read the funnel stage by stage, compare cost per result against margin, decide what to change and what to leave, and state which of your conclusions are findings and which are noise.

  1. 01Collect the raw numbers: impressions, reach, engagements by type, clicks, enquiries, sales and spend.
  2. 02Divide impressions by reach and interpret the repetition ratio.
  3. 03Calculate engagement rate as engagements divided by reach, not the raw count.
  4. 04Rank the engagement types you received by value and note which dominated.
  5. 05Calculate click-through rate and compare it against the account's own average.
  6. 06Define what counted as a lead and separate genuine enquiries from curiosity.
  7. 07Calculate cost per click, cost per lead and cost per sale as three separate numbers.
  8. 08Calculate the profit per sale and compare it with the acquisition cost.
  9. 09State plainly whether the campaign was profitable, and what it would take to be.
  10. 10Read the funnel in order and name the stage with the biggest proportional drop.
  11. 11Name the single change that addresses that stage and nothing else.
  12. 12Mark each conclusion as a finding or as noise, with the number it rests on.
  13. 13Identify one pattern across a month of posts rather than one outstanding post.
  14. 14List the vanity metrics you will stop reporting and the three you will track instead.

The standard we hold you to

Every metric calculated by hand from real raw numbers with the arithmetic shown, engagement measured as a rate rather than a count, cost per click, per lead and per sale given separately and compared against profit per sale with a plain verdict on profitability, the funnel read in order with the biggest proportional drop named, one targeted change for that stage only, each conclusion labelled finding or noise with its supporting number, and three metrics chosen to replace the vanity ones.

Common mistakes and how to fix them

You report raw engagement counts

Fix: Divide by reach. Fifty engagements from 500 people reached is a strong result and from 20,000 it is a weak one, and the raw number cannot tell you which you have.

You judge campaigns by likes and followers

Fix: Likes are the cheapest action and followers do not buy on schedule. Track enquiries, sales and cost per result — a report built on vanity metrics always looks better, which is exactly why it is misleading.

You compare your CTR to a global benchmark

Fix: Compare against your own history across twenty or more posts. Platform and industry averages are not your audience, and your own average is the only honest benchmark available.

You calculate only cost per click

Fix: Calculate cost per lead and cost per sale as well. Cheap clicks that produce no enquiries are expensive in the only sense that matters, and the three numbers answer three different questions.

You never compare cost per result against margin

Fix: Set the affordable acquisition cost from your profit per sale before spending. Without that comparison you cannot tell a working campaign from an expensive hobby.

You change everything at once

Fix: One variable, one full week, then read again. Changing creative, audience and offer together spends money to learn nothing, because you cannot attribute the result.

You fix the stage you assumed failed

Fix: Read the funnel in order and find where the number actually collapsed. Changing the advert because the WhatsApp reply took a day is the most expensive mistake in paid promotion.

You draw conclusions from tiny numbers

Fix: Do not read a pattern into fewer than a few hundred impressions or a couple of dozen clicks. With numbers that small, one person behaving differently changes everything.

Expert notes

The habits that separate someone who can do this from someone who does it well.

  • Always measure engagement as a rate against reach. The raw count is the single most misleading number available in social analytics, because it hides the audience size that gives it meaning.
  • Calculate cost per lead and cost per sale, and set the affordable figure from your margin before spending. The comparison against profit per sale is the whole judgement; everything else is detail.
  • Read the funnel in order, working backwards from the result you wanted. The stage where the number collapsed tells you what to fix, and fixing any other stage spends money without changing the outcome.
  • Distrust small numbers and single outstanding posts. A finding is a pattern across several similar posts over a month; below that you are reading weather and should keep collecting data.

Key terms

Reach
How many different people saw your content. The size of the audience.
Impressions
How many times content was displayed. Divided by reach, it shows repetition.
Engagement rate
Engagements divided by reach. The only meaningful way to compare posts.
Click-through rate
Clicks divided by impressions. Measures whether the creative earned the click.
Lead
Someone who showed interest and gave you a way to reach them. Not every message is a lead.
Conversion
The action you wanted — a sale, booking or registration. Distinct from a lead.
Cost per result
Spend divided by results. Meaningless without comparison to your profit per sale.
Vanity metric
A number that looks good and pays for nothing: followers, likes, raw reach.

Homework before the next session

Calculate every metric by hand

Take one real campaign and compute engagement rate, CTR, cost per click, cost per lead and cost per sale from the raw numbers. Show the arithmetic — the practice is the point.

Compare cost per sale to margin

Work out your profit per sale and set the affordable acquisition cost from it. Write the number down; it is the pass mark for every future campaign.

Read one funnel end to end

Impressions, clicks, enquiries, sales — name the stage with the biggest proportional drop and the one change that addresses it. Change nothing else.

Replace three vanity metrics

List the numbers you currently watch and strike out the ones that pay for nothing. Choose three that would actually tell you whether the business is growing.

Assessment rubric

How this session is marked. The certificate for Digital Marketing is awarded on the deliverable, not on attendance.

CriterionPassingExcellent
Metric definitionsKnows the terms.Distinguishes reach from impressions, engagement from engagement rate, leads from conversions, and can explain what each number tells and does not tell you.
CalculationReads the platform's numbers.Computes engagement rate, CTR and cost per click, per lead and per sale by hand from raw figures with the arithmetic shown.
Commercial judgementKnows what was spent.Compares cost per result against profit per sale, sets the affordable acquisition cost before spending, and gives a plain verdict on whether the campaign worked.
Funnel readingSees the whole picture.Reads stages in order, names the biggest proportional drop, and proposes one change for that stage while leaving everything else fixed.
Statistical honestyReports what happened.Labels each conclusion as finding or noise with its supporting number, requires a pattern across several posts, and drops vanity metrics from the report.

Session questions

What is a good click-through rate?+

Your own average is the only useful benchmark. Platform averages vary widely by industry and audience, so compare your posts to each other over twenty or more, and repeat whatever consistently beats your own average.

How do I calculate cost per result?+

Spend divided by the number of results at the stage you care about — cost per click, cost per lead or cost per sale. Calculate all three; they answer different questions, and cheap clicks that produce no leads are expensive in the only sense that matters.

My engagement is high but I get no sales. Why?+

Because engagement measures interest, not intent. Check whether your content is attracting buyers or admirers — useful, problem-focused content aimed at a narrow audience produces enquiries, while broad entertaining content produces likes. Narrower is better.

How many impressions do I need before the numbers mean anything?+

A few hundred as a rough minimum, and a couple of dozen clicks before a click-through rate is worth acting on. Below that, one person behaving differently changes the result and you are reading noise.

Should I report follower growth to a client?+

Mention it, but do not build the report on it. Clients pay for customers, so lead with enquiries, sales and cost per result, and put reach and followers underneath as context. A report of vanity metrics looks better and proves nothing.

Last reviewed: 2026-09-12By Cyber Elias Academy faculty

This session is part of

Digital Marketing

4 weeks · 8 sessions · ₦40,000 · you leave with a complete digital marketing campaign

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