You killed the campaign that felt like it was not working, and raised the budget on the one that felt like it was. A month passed, and nothing moved in the sales figure.
Marketing decisions usually get made that way: a quick impression under time pressure. The problem is not a shortage of data. The four numbers you need already sit with you today, in your ads dashboard and your sales ledger.
What Makes a Marketing Decision Data Driven?
One thing measures it: can you say, in a number, why you made it?
If your answer is “because the cost per order from this channel is double the others”, that is a decision built on data. If it is “because this channel stopped working”, that is an impression waiting for a number to confirm or kill it.
The difference between the two shows up in the result. McKinsey research, built on a survey of more than 860 executives worldwide, found that only 7% of companies combine analytics, creativity and clarity of purpose in their decisions, and that those companies grow at 2.3 times the rate of their competitors.
The 4 Data Driven Marketing Numbers Your Budget Turns On
1. Cost per Order From Each Source Separately
Divide each channel’s spend by the orders that came from it. One blended number hides the fact that one channel delivers an order for fifty EGP and another for two hundred.
This is the first number that changes your decision, because it moves the question from “is advertising working?” to “which advertising is working?”.
2. Share of Returning Customers Month After Month
Track how many of this month’s customers have bought from you before. A high number means your budget is building a base. A low one means you buy new customers every month at full price.
The two decisions are completely different. The first lets you raise spend. The second obliges you to fix what happens after the first sale before you raise anything.
3. The Gap Between Unit Growth and Revenue Growth
Compare units sold against revenue in EGP for the same period last year. If revenue rose while units held flat, the price moved, not demand.
We covered that trap in our article on declining sales.
4. Orders That Reached You From Outside the Site
Add up what came in through chats and calls, and compare it with what your site recorded. The gap between the two numbers measures an entire channel that may be missing from every report you read.
A decision built on an incomplete report kills a profitable campaign and keeps a losing one.
When Does the Fast Decision Win, and When Does the Slow One?
The size of what you lose if you are wrong settles this question.
A decision with a limited cost that you can reverse, like adjusting a message or testing an audience, should be made fast so you can learn from the result. A decision that swallows a quarter’s budget or shifts your price position needs a number before it, not after.
Stronger companies move in both directions at once. Companies combining the three capabilities are 2.8 times more likely to run analytics decisions in real time, and 1.6 times more likely to reallocate their marketing budget as they go.
Instinct Proposes, the Number Decides
Instinct keeps a real role, because it catches what tables never show: a shift in market mood, a complaint repeating in your messages, or a competitor starting to appear somewhere new.
But instinct is for generating the hypothesis, not for approving it. Let it propose what you test, and let the number decide what you fund.
Local Examples of a Decision Data Changed
Fawry reviewed the split of its revenue sources and moved its weight away from its oldest segments. In its full year 2025 results, it reported that alternative digital payments, its oldest segment, fell to 23.2% of revenue, while financial services grew 135% to reach 27.5%, and banking services became its largest revenue source at 40.6%.
E-finance Group announced in its annual disclosure that revenue rose 30% to 6,773.1 million EGP, driven by a 30.5% rise in variable-fee transaction value and by repricing a number of its services.
In both cases the decision was not instinct about market direction. It was a reading of the numbers for one specific segment, followed by moving resources into it.
How Brand Brew Reads Your Marketing Decisions
We start by taking stock of the numbers you already hold before we ask you for any new tool. Usually the data is there and sufficient, just scattered across the ads dashboard, the sales ledger and customer messages with nothing connecting them.
Then we turn every proposed decision into a number that measures it: which channel you fund, which message you test, and which segment you stop paying for. And before execution we set the number that will tell us the decision was right, and when to revisit it.
What are data driven marketing decisions?
They are decisions you can trace, one by one, to a number from your own business: cost per order from a specific channel, the share of returning customers, or the gap between unit growth and revenue growth.
Do I need paid tools to make marketing decisions from data?
The four core numbers are available in your ads dashboard and your sales ledger at no extra cost. Advanced marketing analytics tools help once the volume of data grows, but they do not make the first decision for you.
Does a data driven decision mean scrapping instinct?
No. Instinct proposes the hypothesis and the number decides it. Let your instinct set what you test, and let the result set what you fund.
How often should I review my marketing decisions?
Review low-cost decisions weekly, and decisions that change budget allocation or price position every quarter. And set in advance, for each decision, the number that will tell you to reverse it.
Start From the Numbers You Already Have
Good marketing decisions need order applied to what you hold more than they need extra data. Book a 20-minute diagnostic call with Brand Brew, and we will pin down which four numbers in your business are enough for your next budget decision.
