Tools & Hardware on TikTok Shop is shrinking faster than the market, and its sales sit with higher-priced products

1. Introduction

Brands and creators in Tools & Hardware must decide which products to push, at what price and commission, and which videos to make. This paper describes what sells in the category on TikTok Shop: its momentum, channels, prices, commission, competition, the video openings and formats that accompany sales, and the season ahead.

Prior work shows that short-video attention is long-tailed and that early popularity predicts later popularity [1]. Recent prediction challenges find that creator-related features matter most [2], and multimodal benchmarks show that content features alone explain only part of popularity [3]. Online retail also sells a long tail of niche products beyond bestsellers [4]. Because the returns to advertising are hard to measure from observational data [5], we report associations only and make no causal claims.

2. Data

The window runs from 2 September to 1 October 2026. We tracked 777 videos in Tools & Hardware. Our AI analyst watched and analysed 149 of them in depth. The marketplace figures rest on the 100 top-selling products in the category. The market benchmark for video comparisons draws on 3,342 analysed videos across categories.

For each analysed video we recorded its opening hook, format and production style. For products we recorded unit price, affiliate commission rate and launch date. For the category we recorded weekly revenue, the split between sales channels, shops and active products. Momentum and channel figures are as of 29 September 2026, and price figures as of 1 October 2026.

Daily rankings of top-selling TikTok Shop videos in the US were collected from several independent sources and merged into one record per video. Where sources overlap, their sales estimates are cross-checked against each other, and videos whose estimates disagree by more than half are flagged. An AI analyst watched each video and recorded its opening, format, angle, production style, use of AI, hook source, length, pacing and what appears in the first second, without seeing how the video sold. Sales per view is a video group’s revenue per view divided by the market’s, shrunk toward the average for small groups, with 90% ranges. Weekly category figures for the US (estimated revenue, its split between video, LIVE and the shop tab, affiliate revenue, shops and active products, and a year of weekly revenue) and daily rankings of each category’s top-selling products (unit price, commission rate, launch date and revenue by channel) were collected from several independent sources. Medians of price and commission are weighted by revenue; momentum compares the latest weeks with the same number of weeks before. This paper covers 2026-09-02 to 2026-10-01: 777 videos tracked in Tools & Hardware, 149 of them watched and analysed; the market baseline uses all 3,342 watched videos; 100 top-selling products in Tools & Hardware. Predictions come from a logistic model retrained daily and tested on recent weeks it had not seen.

3. Methods

Sales per view is a group of videos' revenue per view divided by the market's, so 1 is the market average. Small groups are shrunk toward the average by empirical Bayes [6], and we report 90% intervals on the log scale. The predictive model is a logistic model of top-selling videos, retrained daily and tested on recent weeks it had not seen. We report AUC as a ranking measure [7] with a bootstrap range [8].

Momentum compares estimated revenue in the latest 4 and 13 weeks with the same number of weeks before. Channels split latest-week revenue into shoppable video, LIVE and the shop tab, with the share credited to affiliate creators. Price, commission and product-age statistics use the top-selling products in the latest week, with medians and ranges weighted by revenue. Revenue per product by band is set against the average product.

Competition counts shops and active products, and measures concentration among tracked top products by the top ten's share and the Herfindahl–Hirschman index [9]. Seasonality compares each month with the category's average month over the past year, leaving out partial months. Separating season from trend follows [10].

4. Results: momentum, channels and competition

Tools & Hardware accounted for 2.1% of market revenue over the latest four weeks, ranking 18th of 28 categories. Its revenue was 5.9% lower than the previous four weeks and 15.4% lower over 13 weeks against the previous 13. The market fell 11.1% over the same 13 weeks, so the category is declining somewhat faster than the market.

In the latest week, 67.3% of category revenue came through shoppable video, 11.9% through LIVE and 20.8% through the shop tab. The market splits 64.9%, 17.1% and 18.0%, so the category leans slightly more on video and less on LIVE. Affiliate creators were credited with 74.9% of category revenue.

The category has 4,829 shops and 22,683 active products, against a median category of 4,461 shops. Average revenue per shop is $2,193, against $2,401 for the median category. The top ten products hold 31.6% of top-product revenue, the same as the median category, and the Herfindahl–Hirschman index among top products is 182, which indicates low concentration.

5. Results: prices, commission and product age

The revenue-weighted median price of top products is $69, and the middle half sits between $28 and $129. Products at $100 and over (24 products) account for 30.5% of top-product revenue and earn 1.27× the average product. The $60–100 band (23 products) takes 24.0% at 1.04×. Mid-low bands earn less than the average product: $10–20 at 0.76× and $35–60 at 0.78×. Only 4 products sit under $10, with 3.6% of revenue.

The revenue-weighted median commission is 5%. Products with commission under 5% (21 products) take 28.4% of revenue and earn 1.18× the average product. Those at 10–15% (12 products) take 10.6% and earn 0.77×. The share sold through video is 84.3% under 5%, 84.6% at 5–10% and 91.1% at 10–15%. These are 12 to 54 products per band, so bands are indicative only.

By age, products launched 1–2 years ago (30 products) hold 37.1% of revenue at 1.24× the average product. Products under 90 days old (17 in total) hold 12.6%, and the youngest bands earn 0.77× and 0.70× the average.

6. Results: hooks, formats and the predictive model

No hook is clearly separated from the market average, because every 90% range includes 1. Question openings show the highest estimate at 1.35× (range 0.92–1.96) but rest on 10 videos. Price or deal openings sit at 1.15× (0.79–1.66). Bold claims (30 videos, 24.5% of sales) are at 0.97× (0.79–1.19) and going straight into the demo (28 videos, 24.0% of sales) at 0.88× (0.70–1.10). Several hook groups have low confidence because they cover fewer than ten videos.

Demos and tutorials dominate, with 98 videos and 68.9% of sales, and sell at 1.01× (0.88–1.16). Skits are at 1.09× (0.82–1.45), reviews at 1.02× (0.77–1.37) and voice-over B-roll at 0.85× (0.60–1.23). Production is uniformly filmed live action (80 videos, 1.00×, range 0.87–1.15), so we cannot compare production styles within the category.

The model reaches an AUC of 0.64 (90% range 0.57–0.70) on 2,667 training rows, a modest ranking ability. It was not trained only on analyses that never saw sales (cleanOnly is false), so it may partly reflect sales information. The strongest associations were filmed live action (odds ratio 2.54) and no visible AI (1.71). Some interaction terms point in opposite directions, so we treat the drivers as descriptive.

7. Discussion

For brands, sales are associated with higher-priced products, with the $100-and-over band taking the largest revenue share and earning the most per product. Lower commissions are associated with higher revenue per product, which is consistent with strong products not needing high referral fees to attract affiliates [11]. Commission may be a result of product strength rather than a driver of it. Established products (1–2 years old) earn above average, while newly launched products do not yet, which suggests a new product has to build momentum first.

For creators, the evidence does not support a single winning opening or format. Demos are the common format and sell near the market average, so differences in execution, the product and the creator probably matter more than the hook, as prior work on creator features suggests [2]. The category's LIVE share (11.9%) is below the market's (17.1%). Live selling is linked to trust in social commerce [12], but we cannot tell whether this reflects an opening or a limit of the category.

The season matters for planning. Monthly revenue against a normal month ranged from 0.76 in November 2025 to 1.39 in March 2026, with a second peak in June (1.27). December 2025 was 1.03 and January 2026 was 1.01, so we see no strong holiday uplift. Black Friday / Cyber Monday starts in 40 days and holiday gifting in 45, and the category is already in the Halloween window, though we see no evidence that it matters here. With one year of history, season and trend are only partly separable [10], and the current decline may exaggerate how these months compare.

8. Limitations

Most videos in the sample are top-ranked, so findings mostly separate strong sellers from good ones rather than from all videos; typical and weak videos are being added. Product figures cover the top-selling products we track in each category, not every listing, so they describe what sells best rather than everything on sale. Results are associations, not causes. Paid promotion, creator audience size and product price are not fully controlled for. Revenue, views and sales are estimates, not figures reported by TikTok. The analysed sample is small (149 videos), and several hook, format and price groups hold fewer than ten videos or about ten products, so many ranges are wide and include 1. The window is 30 days, and the seasonal view covers a single year. Video counts by hook and format do not add up to the analysed total, as they reflect different groupings. The production attribute has a single value, so it cannot be compared. The model was not trained only on analyses that never saw sales. All findings are associations, not causal effects.

9. Conclusion

Tools & Hardware on TikTok Shop is a mid-sized, declining category (18th of 28 by revenue) with a video-led, affiliate-driven sales mix, a median product price of $69 and a median commission of 5%. Revenue per product is highest at $100 and over, for products under 5% commission and for products one to two years old.

Opening hooks and formats show no reliable differences from the market average on sales per view, and the model that ranks top-selling videos is only modest. Brands should treat price position, product maturity and the November–December window as the better-supported levers, and treat creative choices as hypotheses to test. These are associations in a short window, not causal effects.