White Friday Benchmarking: Electronics Brands vs Rivals

Every electronics team has a price tracker open during White Friday. Rival prices in one column, yours in the next, a red cell wherever you're beaten.

At 11pm on the Thursday before the big weekend, someone drops a screenshot into the team chat. The rival's 55-inch TV is 300 riyals cheaper. By midnight you've matched it.

Three weeks later the season review shows what the tracker never did. The rival you matched lost the week. Under its offer posts, customers had pasted its price from October: "نفس السعر قبل شهر، وين الخصم؟" (same price as last month, where's the discount?). A second rival, with a smaller discount, owned the conversation. Its delivery promise held, creators unboxed its TVs on TikTok, and someone answered every question under its offers, in Saudi and Egyptian dialect.

Illustrative example: the teams, prices and posts are invented.

Price is what everyone watches. The conversation is where the week is decided. Global listening vendors publish a study of the Black Friday conversation every year; this guide takes that idea and rebuilds it as a rival-by-rival benchmark for electronics brands in Saudi Arabia, the UAE and Egypt, read in Arabic. You'll get a before, during and after framework, five measures, a one-page scorecard and a three-week worked example.

1. Why the price tracker isn't the scoreboard

The cheapest offer of the week rarely wins the week's conversation.

More of the season is bought online, and online purchases get talked about. Saudi Central Bank data reported by Argaam (2026) put e-commerce spending on mada cards at SAR 29.1 billion in November 2025, up 67% on the year before.

Meltwater's Black Friday and Cyber Monday Consumer Trends 2026 read 5.67 million posts from August 2025 to July 2026 and found two things every benchmark should start from. First, only about 23% of the posts came from consumers; about 65% came from advertisers. Count raw mentions in sales season and you mostly measure who spent the most. Second, price integrity came up in about 34% of negative consumer posts in its sample. Shoppers don't take a discount on trust. They test it.

In Saudi Arabia they have a tool for testing it. Every advertised discount needs a Ministry of Commerce licence, and shoppers can scan its barcode to see the discount type, percentage and duration. For National Day this year the ministry issued more than 3,500 licences covering over 12 million products (Okaz, 2026). The same check applies in every discount season, and it shows up in replies as a question like "وين رقم الترخيص؟" (where's the licence number?).

So a price tracker tells you who was cheapest. It can't tell you who was believed.

2. What the winning rival actually won

Shoppers grade every offer in public, in Arabic, before they pay.

When we read a sales season back, the rival that won the week usually won four smaller contests (the customer lines are illustrative):

• The offer felt real. Nobody pasted an old price under it. Compare Saudi "الخصم على أي سعر؟ كان أرخص الشهر الماضي" (a discount on which price? it was cheaper last month) or Egyptian "رفعوا السعر وبعدين عملوا خصم" (they raised the price, then discounted it). In Egypt, credibility also lives in the instalment price: "السعر بالتقسيط غير الكاش خالص" (the instalment price is nothing like the cash price).
• The delivery promise held. "Delivered in 24 hours" wins the click on Thursday and the complaint on Monday if it slips.
• Creators did the persuading. In Saudi Arabia, TikTok's ad reach was 38.6 million users aged 18 and above in late 2025 (DataReportal, Digital 2026). In electronics an unboxing, or an "is this deal actually good?" video, often travels further than the brand's own offer post.
• Questions under the offer got answers. Stock, warranty, instalments, delivery dates. An unanswered question under an offer is a customer asking out loud where else to buy.

None of these shows up in a price column. All of them show up in the conversation, in the customer's dialect, within hours.

3. The framework: three windows, five measures

Benchmark three windows, not one weekend.

A one-weekend snapshot catches the noise and misses the result. Read the season in three windows, and compare each with the same window last year, not with the week before.

• Before: the two or three weeks ahead of 11.11. This is your baseline. Watch the waiting talk ("بستنى الجمعة البيضاء", I'll wait for White Friday): it tells you which categories customers are holding back on.
• During: 11.11 through the White Friday weekend and the days after it.
• After: the four weeks that follow, when delivery, installation, returns and "the price dropped again" posts arrive.

If share of voice is new to your team, our explainer on measuring share of voice accurately in Arabic covers the basics.

4. Reading the five measures in Arabic

Suspicion is the emotion that kills an offer.

A few things only show up when you've read a few seasons:

• Exclude ads before anything else. In sales season the paid share balloons. With promoted posts left in, share of voice becomes a media-spend chart.
• Build the doubt list per dialect. "وهمي" (fake), "نفس السعر" (same price), "رفعوا السعر" (they raised it), "كان أرخص" (it was cheaper), plus screenshots of earlier prices. Egyptian threads add instalment comparisons; Saudi threads add licence questions.
• Split excitement from suspicion. "أخيرًا نزل سعرها" (finally the price dropped) and "خلص المخزون بعد دقيقة" (sold out within a minute) can sit in the same hour. The first is excitement. The second turns into disappointment, then suspicion: "was there ever any stock?"
• Expect delivery talk to peak late. Week two after White Friday is when "promised in 24 hours" gets tested. Our guide to monitoring after-sales service in Arabic reads that stage by stage.
• Read creators by what they say. A small creator's honest "the deal is real, I checked the price last month" can do more than a big account's paid post. Comparing tools for this? See our guide to TikTok monitoring tools for Arabic content.

5. The one-page scorecard

Five numbers per rival, the same five every season.

Use one page per window. Keep the rivals fixed: two or three named competitors in the category, by brand type if that helps your team (a Korean brand, a Chinese brand, a retailer's own label).

Header line above the table: window and dates, markets, dialects read, categories (TVs, phones, appliances), and channels covered. For the always-on version of this, run between seasons, see our step-by-step competitor benchmark.

6. Worked example: three weeks, three brands

Illustrative: the deepest discount lost the week.

Illustrative example. Nujoom Electronics is a fictional brand selling TVs and phones in Saudi Arabia, the UAE and Egypt. Rival A (a Korean brand) and Rival B (a Chinese brand) are fictional too. Every number below is invented to show the method.

Week 1, before. Earned share of voice: Nujoom 28%, Rival A 40%, Rival B 32%. Waiting talk is highest around 65-inch TVs.

Week 2, White Friday week. Rival A runs the deepest discount in the category: 30% off its flagship TV.

Rival A's discount drew attention and doubt in equal measure: old-price screenshots in Saudi threads, instalment comparisons in Egyptian ones. Rival B gave a smaller discount, but three creators unboxed its TVs and its team answered questions under every offer post.

Week 3, after. Rival B holds 44% of earned share. Nujoom's delivery and after-sales talk rises to 27% of its conversation, mostly late installation slots in Riyadh, and its sentiment turns negative.

The decisions Nujoom takes into next season:

1. Publish a simple 30-day price history beside each offer, in Arabic.

2. Seed creators two weeks before 11.11, so the unboxings are live when the offers are.

3. Promise a delivery window the installation partner can actually keep.

What actually decides it

You can't benchmark a conversation you can only half read.

Every measure on the scorecard depends on reading Arabic as customers write it during a sale: Saudi and Egyptian dialect, Franco-Arabic, model names spelled every way, sarcasm about "discounts", and creators talking over unboxing footage. Miss those and the scorecard still fills up. It just ranks the wrong rival first.

dima has analysed 400M+ interactions. It reads Arabic dialects, excludes ads so share of voice reflects earned conversation, captures full X threads and replies, and transcribes video so a creator's verdict counts like a post. That's the specific problem it was built to solve.

More on this topic in our competitor analysis guides, or compare platforms in the best social listening tools for consumer electronics and home appliance brands in MENA.

When this White Friday ends, will you know which rival won the conversation, or only who was cheapest?

See how your sales season reads against your rivals, measure by measure, in Arabic.