How to Choose a Media Monitoring Company in Saudi Arabia: A Buyer's Scorecard

Most teams choose a media monitoring company in Saudi Arabia the same way: three demos, three polished dashboards, and a decision made on price. A few months later they find out what the demo did not show.

Posts in Saudi dialect were missed. A TV segment about the company never arrived. The weekly report took a full day to fix by hand.

The problem is rarely the providers. It is the evaluation. A demo shows a provider's best data, not yours.

This guide gives you a way to compare media monitoring companies in Saudi Arabia and the wider GCC on your own terms: a weighted scorecard, a worked example, a 30-post blind test, ten questions for the demo or RFP, the red flags, and how to use the same tool for market research.

What does a media monitoring company actually do?

A media monitoring company tracks what is said about your company, your competitors and your category across press, broadcast and social media. It turns that into alerts, reports and analysis. For the full definition and types, see What Is Media Monitoring?.

In Saudi Arabia, the scope is wider than many buyers expect. It covers Arabic and English publications (online and print), TV and radio, and the platforms where Saudi conversation happens: X, TikTok, Snapchat, Instagram, Facebook and LinkedIn, plus Google Maps reviews.

Much of that conversation is written in Saudi dialect, or in Arabic typed with Latin letters and numbers (Franco-Arabic). Most of it never tags your account.

Step 1: Write down what you are buying it for

Before any demo, list the two or three decisions the tool must support.

• A PR and communications team needs to know about a story within minutes.
• A consumer insights team needs answers to questions like "what do consumers think of our new pack?"
• A marketing team needs monthly share of voice against named competitors.

These answers set your weights. Without them, every provider looks good.

Step 2: Score every provider on the same weighted scorecard

Score each provider from 1 (weak) to 5 (strong) on eight criteria. Multiply each score by its weight, divide by 5, and add the results. The total is out of 100.

Criterion	What to check	Default weight
Arabic dialect accuracy	Correct reading of Saudi dialect, slang, sarcasm and Franco-Arabic, tested on your own posts	20
Source coverage	Online and print publications (full text), TV, radio, X, TikTok, Snapchat, Instagram, Facebook, LinkedIn, reviews	15
Untagged and misspelled capture	Mentions with no tag, a typo, a nickname or a Latin-letter spelling	15
Alert speed	Time from post to alert, and whether alerts reach your team where it works (WhatsApp, email)	10
Research use	Themes, sentiment and emotion read separately, with the posts behind every number	10
Reporting and exports	Excel, CSV, PowerPoint, API, live dashboards in your company's branding	10
Onboarding and support	Setup time, a named account manager, support hours and channels	10
Data ownership and control	Raw data export, relevancy you can recalibrate, ad exclusion, what happens at contract end	10

Adjust the weights to your use, but keep the total at 100. A PR team might move 5 points from research use to alert speed. An insights team might do the opposite.

On onboarding, a useful benchmark: for a large scope, ask for setup in around ten days, full onboarding within a month, and a weekly check-in with a named account manager.

A worked example (illustrative)

Here is the scorecard in use at a fictional Saudi snack company we will call Nadeer Foods. The providers and scores are made up to show the method.

Criterion (weight)	Provider A	Provider B	Provider C
Arabic dialect accuracy (20)	2	4	5
Source coverage (15)	4	3	4
Untagged and misspelled capture (15)	2	3	5
Alert speed (10)	4	4	4
Research use (10)	3	2	4
Reporting and exports (10)	5	3	4
Onboarding and support (10)	3	4	4
Data ownership and control (10)	3	3	4
Weighted total (out of 100)	62	66	87

Provider A had the best-looking reports and the lowest price. It also missed most posts that spelled the name نظير or "nadeer", and it read a sarcastic reply, "يا حلاوة الطعم بعد ما صغّروا الكيس" ("the taste is lovely now they've shrunk the bag"), as positive.

The lesson: a strong report built on weak capture is a weak report.

Step 3: Run a 30-post blind test on your own data

This is the most useful hour in the whole evaluation.

1. Collect 30 recent public posts about your company or category. Include Saudi dialect, sarcasm, Franco-Arabic, a few English posts and at least five that misspell your name.
2. Have two people on your team label each one: relevant or not, and positive, negative or neutral.
3. Send the same posts (or keywords) to each provider and ask for their classification, without sharing yours.
4. Count the matches, and note which posts a provider did not find at all.

For the misspelling check, list every way your name gets written. For Nadeer that meant نضير, نظير (ض and ظ are often swapped in fast typing), نضيـر with a stretched letter, "nadeer", "nadir" and "ndeer".

Step 4: Ask these 10 questions in the demo or RFP

1. Can we test you on 30 of our own posts and compare your read with our team's?
2. Which Saudi and GCC publications do you cover, online and print, and do you capture the full text?
3. Which TV and radio channels do you monitor, and can we add channels from our own list?
4. How do you capture mentions that do not tag us, misspell our name or use Latin letters?
5. Do you cover TikTok and Snapchat, including what is said out loud in videos, and full X threads with replies?
6. How long does an alert take, and can it reach us on WhatsApp as well as email?
7. Do you report sentiment and emotion separately, and can we open the posts behind every chart?
8. Can we exclude ads and recalibrate relevancy ourselves, at any time?
9. Which export formats do you support, and can we take our full data with us if we leave?
10. What does onboarding look like week by week, who is our account manager, and what are your support hours?

Ask for written answers. Vague answers to questions 1, 4 and 9 tell you most of what you need to know.

Red flags to watch for

• Every demo example is in English or formal Arabic. Your conversation is not.
• An accuracy figure with no test on your data. Ask how it was measured, and on which dialects.
• "Full coverage" with no source list. Ask for the publications and channels in writing.
• Charts with no posts behind them. If you cannot open the mention, you cannot check it.
• Reports only as PDF. You will want the raw data for your own analysis.
• No named contact after signing. Monitoring needs regular tuning, not just a login.

Use the same tool for market research

Good monitoring answers more than "what are they saying about us?" It can answer research questions that would otherwise start with a survey.

Back to the fictional Nadeer Foods. Before the school term, the team wants to know whether to launch a smaller pack for the school break (Saudis call it the "fas-ha", الفسحة).

They search six months of public conversation for pack-size talk in Saudi dialect: "حجم صغير", "كيس صغير للفسحة", "ليش ما فيه حجم أصغر" ("why isn't there a smaller size?").

They read three things separately:

• Themes: what people ask for (smaller packs for school, multipacks, less sugar)
• Sentiment: whether people are positive, negative or neutral about today's pack sizes
• Emotion: why, for example frustration at waste or excitement about a new flavour

The result does not replace a survey. It tells Nadeer which questions to put in one, and which options consumers have already ruled out. See how this works in dima's market insights.

What to do with your scores

Shortlist the top two providers. Run a two-week pilot on live data with success criteria agreed in advance:

• Share of your blind-test posts captured
• Alert time on a real story
• Hours saved on the weekly report

Then decide. If you need a starting shortlist, see our comparison of the top social listening and media monitoring platforms in MENA and the GCC.

What actually decides it

Most media monitoring companies can show you a clean dashboard. In Saudi Arabia, the difference is what reaches that dashboard: whether Saudi dialect, Franco-Arabic, misspellings and untagged posts are captured and read correctly, across press, TV, radio and social. dima has captured 50M+ mentions across those sources, built for how the region actually writes and speaks. That is the specific problem dima was built to solve.

If you ran the 30-post test on your current provider tomorrow, how many posts would it find?

See how dima reads your own Saudi posts before you sign anything.