We Analyzed 5,871 FMCG Affiliate Videos. 63% Made Zero Rupiah.

One video pulled 107,968 views and sold nothing. Another pulled 8,280 views and generated Rp 5,133,151.

Same product. Same platform. Same month. The video that reached thirteen times fewer people produced all of the revenue.

We found that pattern while auditing affiliate performance across nine FMCG product lines in Indonesia: pest control, home care, haircare, baby care, automotive, and home fragrance. The dataset covered 5,871 affiliate videos. We pulled the ten highest-GMV and ten lowest-GMV videos from each line, then ran frame-by-frame teardowns on the extremes.

The headline number: 3,718 of those 5,871 videos generated zero rupiah. That is 63.3% of everything the affiliate network produced.

The Zero-Revenue Majority

Most affiliate content does not underperform. It produces nothing at all.

The spread matters more than the average. The mosquito repellent line failed on 16.6% of its videos. Baby wipes failed on 86.5%. Same seller, same affiliate pool, same platform mechanics, five times the failure rate.

Category difficulty explains some of that. Baby care carries a trust burden that pest control does not. A parent buying wipes for a newborn needs more reassurance than someone buying glue traps for a rat problem. But category difficulty does not explain why one shampoo video earns Rp 620 per view while another shampoo video earns nothing across 108,000 views.

Where View Count Stops Working

Across all 90 top-performing videos, views and GMV correlate at r = 0.73. That is a strong relationship. More reach does generally mean more revenue, and a model that ignored views entirely would be wrong.

The problem is the residual. Rupiah per view across those same top performers ranged from Rp 10 to Rp 620, a 62x spread inside the winners' bracket alone.

An affiliate manager optimising for reach would have promoted the 108,000-view shampoo video and ignored the 8,280-view one. At the extremes, the reach signal points in the wrong direction.

Boosting budget follows view counts because view counts arrive first and feel like progress. Revenue arrives later, and by then most teams have attributed it to the platform algorithm rather than to the creative decision that caused it.

What the Teardowns Found

We transcribed and frame-extracted the extremes, highest earners against highest-traffic zero earners, to isolate what separated them. Four patterns held across every category.

Losing videos open with the problem. Winning videos open with the product.

Every failed video in the mosquito repellent teardown opened on a burning mosquito coil: smoke, ash, discomfort. Textbook Problem-Agitate-Solution. Every winner opened on the device itself, already plugged into a wall socket, with the benefit stated inside the first three seconds.

PAS works in long-form copy where the reader has committed attention. In three-second commerce it costs you category clarity at the exact moment the viewer is deciding whether this video is about something they might buy. The problem framing is relatable. It is also a delay.

Winning videos do not prove the product works.

This one surprised us. None of the top-performing mosquito repellent videos showed a dead mosquito, a collection tray, or an overnight result. Not one. The highest earner in the entire dataset, Rp 119 million from a single video, showed hands plugging in a device, inserting a refill, pressing a mode switch, and stating a price.

Those videos were not proving efficacy. They were removing purchase uncertainty. What does it cost, what is in the box, how do I install it, how long does the refill last, where do I tap to buy.

The losing videos answered "does this work?" quite well. The winning videos answered "should I buy this right now?" Only the second question moves GMV.

Shorter converts better.

Top performers averaged 31 seconds. Zero-GMV videos averaged 37 seconds. The longer videos were not adding proof. They were repeating claims. One failed video spent twelve seconds restating urgency without introducing a single new reason to believe.

The best-converting video we studied ran 14 seconds. It had time for four beats: price surprise, bundle reveal, mode explanation, cart location.

Every failing video had a working call to action.

This is the finding that should worry anyone running affiliate programs. All three zero-GMV videos in the deep teardown had clear CTAs with specific cart locations. "Keranjang kuning kiri bawah." Lower left. Tap here. The instruction was present and unambiguous.

What they lacked was a reason to act now. No exact price. No bundle math. No verified promo window. The top performers all attached something concrete: a Rp 20,000 kit price, a 45-day refill duration, a stated promo condition. Cart location is necessary but it is not sufficient, and almost all of the revenue sits in that gap.

The Pattern Underneath

The failed videos were not bad videos. They were informative videos.

They explained the product clearly, demonstrated the setup, named the benefits, and pointed at the cart. A viewer finishing one of those videos understood the product. A viewer finishing a top performer felt ready to buy it.

That gap between understandable and buyable accounted for more revenue variance than production quality, creator follower count, or view volume. It also costs nothing to fix, because reordering the beats in a script is free.

The Structure That Worked

Across all nine categories, the top performers converged on the same sequence inside a 20 to 28 second runtime.

Two details from the data are easy to miss. Every top performer carried continuous voiceover narration, and music-only edits correlated with zero conversion across all nine lines. The CTA also landed between 70% and 85% of total runtime in every winner, never earlier.

What Sellers Should Change First

If you are running an affiliate program with a 60%-plus zero-GMV rate, recruitment is not your problem. Adding more creators to a broken brief multiplies the zero-GMV pool.

Rewrite the brief around the first two seconds. Specify that the product must be visible in frame one and named within three seconds. Most affiliate briefs specify hashtags, mention requirements, and disclosure language, then leave the opening shot to the creator. That one instruction moves more revenue than any other line in the brief.

Supply the offer, not just the product. Failing videos said "check my cart." Winning videos said "Rp 20,000 for the device plus refill, promo running now, yellow cart lower left." Creators cannot invent a bundle price. If the brief does not hand them a concrete offer, the CTA defaults to generic.

Stop scoring affiliates on views. The dataset contains creators whose highest-view video earned nothing and whose lowest-view video earned millions. Rank your affiliate pool by reach and you will promote the wrong people. Rank by GMV per video and the tier list reorders.

For the seller-side mechanics of building an affiliate pool that converts rather than one that just posts, see TikTok Shop affiliate commission structures for 2026. For how volume interacts with these conversion mechanics, see the volume math behind TikTok affiliate scale.

The Number That Matters

63.3% of 5,871 videos produced nothing. That is not a creator quality problem and it is not a platform problem. Every failed video in the teardown was competently produced and clearly narrated.

They failed on sequence. Product too late, proof aimed at the wrong question, offer left unspecified. Each of those is a briefing decision made before a creator opens a camera.

The video that made Rp 119 million ran 24 seconds and showed a pair of hands plugging in a device. The one that made nothing across 108,000 views was longer, better lit, and more thorough. None of that was the constraint.