Marketing Science: Know What Really Drives Your Sales
We find what really drives your sales, then move the budget to what works.
- Revenue generated for our clients
- AED 10MRevenue generated for our clients
- Return on ad spend
- Up to 9xReturn on ad spend
- Lead quality improvement
- Up to 90%Lead quality improvement
Marketing Science
Marketing science is the use of data and controlled tests to find out what really drives your sales. Every ad platform claims the same sale. We check those claims against your real orders and leads. We run tests, read every winning ad by its parts, and model where each dirham works hardest. Then the budget follows the evidence, not the loudest report.
Results
You know which numbers to trust
Platform reports are checked against real orders and leads, so budget decisions rest on one agreed number.
Budget moves to what works
Spend shifts from the channels and ads that only look good to the ones that bring sales you can prove.
Every new ad starts from proof
Creative briefs are written from the parts of past winners, so fewer tests are wasted and good ideas scale sooner.
Scope
Attribution That Matches Your Real Sales
We connect live to your ad accounts and to your store or CRM, then compare what Meta and Google report with your real orders and deals, so you know which numbers to trust.
Tests That Prove Cause
We split budget or audiences on purpose, with a control group, so a result comes from the change and not from a good week. This is incrementality testing, measuring the sales you would not have had without the ad.
Media Mix Modelling
A statistical model of your past spend and sales that shows how much each channel adds, including the ones you cannot track by click. We build it on open source tools such as Google Meridian or Meta Robyn.
Winning Ads, Read by Their Parts
We break every winning ad into its parts, the main text, the headline and the description, and rank each part by the sales it brought. New ads are built from proven parts.
Catching a Winner Before It Dies
We track each winning ad and find which part is wearing out, the audience, the idea or the execution, then replace only that part.
Proof
- Revenue generated for our clients
- AED 10MRevenue generated for our clients
- Return on ad spend
- Up to 9xReturn on ad spend
- Lead quality improvement
- Up to 90%Lead quality improvement
Engagement
- 01
Paid diagnostic
We read your ad accounts and your real sales, then show where the reports and the money disagree. The document is yours whether or not we carry on.
- 02
Scoped engagement
We set up the tests and the models against a written scope, with one senior lead on the account.
- 03
Retainer or handover
We run the readings every month and move the budget with you, or we hand the models and the method to your own team.
Fixed scope, fixed fee, agreed before it starts
FAQ
What is marketing science?
It is the use of data, statistics and controlled tests to find out what really drives sales. It answers questions like which channel brings new customers, which ad idea is working, and what would happen if the budget moved. The answer is a number you can check, not an opinion.
How is marketing science different from normal reporting?
Reporting says what happened. Marketing science asks why it happened and what will happen if you change something. A report shows that sales rose. A test or a model shows whether the ads caused the rise, and by how much.
Why do Meta and Google both claim the same sale?
Each platform counts a sale if its ad was seen or clicked before the purchase, so one order can be counted twice or more. We match the platform numbers to the orders in your store or CRM, so you see what each channel really added.
What is incrementality testing?
It measures the sales you would not have had without the ad. We hold back a control group that does not see the ads, then compare it with the group that does. The gap between the two is what the ads really caused.
What is media mix modelling?
It is a statistical model of your past spend and sales over many months. It estimates how much each channel adds, including channels you cannot track by click, such as TV, outdoor or influencers. We use it to plan the budget, not to judge one week.
How much data do we need?
For tests and ad analysis, a few months of steady spend is enough. A media mix model needs more, usually one to two years of weekly spend and sales. The diagnostic tells you which methods your data can support today.
Do you also make the ads?
Yes. This is where data science meets creative intelligence. We read which parts of past ads won, write the brief from that, and produce the new creative in English and Khaleeji Arabic. The results feed the next round of tests.
What does marketing science cost?
We do not publish a price, because the work depends on your channels and your data. Every engagement starts with a paid diagnostic: fixed scope, fixed fee, agreed before it starts.
Written and reviewed by Mohammed Elshorafa
Chairman, Elshorafa Co.. Working with clients in the UAE since 2015.
LinkedIn profileLast updated
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Next step
Send us read access to one ad account and your sales for the same months. We will show you where the two disagree.