Written by Julia Iljuk (HookRadar). Reviewed by Euan Cowen (Super Banana) & Mobidictum.
Over the past year, a new sub-genre has quietly taken over the sort puzzle category: conveyor-based color sorting, popularized by Pixel Flow (Loom Games). What started as one studio’s experiment has turned into one of the fastest-growing creative and gameplay templates in casual mobile – and, predictably, one of the most cloned.
In this article, we explore how sort-puzzle games with image-clearing and conveyor mechanics scale. Our goal is to identify which hooks, formats, and creative patterns are currently popular in this niche – and, more importantly, which ones are actually driving results.
Context: how one game triggered a genre gold rush
The fast rise of Pixel Flow started a wave of iteration from other studios chasing the same theme. The game launched in August 2025 – the first title from Loom Games as a studio, built in roughly three months. Four months after launch, it was already generating $500K+ per day. A few months later, Loom Games was acquired by Scopely, with the founders exiting with what can only be described as generational wealth.
It’s no surprise, then, that conveyor-themed sort puzzle games started multiplying like mushrooms after rain. Store listings are now flooded with the words loop, sort, and flow – to the point where remembering which title is which has become genuinely difficult.
That said, among a large number of near-identical clones, a handful of studios managed to take the core idea further: reinterpreting it, adding a twist to the mechanic, and building a strong meta layer around it. These are the games that have achieved real revenue traction and are scaling well, not just riding the trend.
Methodology note
We hand-picked the established direct competitors to Pixel Flow: Yarn Loop (Spyke Games), Sand Loop (Voodoo), Sandy Jam (Horus), Hotpot Loop (iKame Games), and Colony Flow (ABI Games). We also included close variations on the conveyor-based sorting mechanic – Loop Sort and Marble Sort (both Voodoo), because they target a similar audience despite differing from Pixel Flow’s image-clearing loop. Together, these games provide a focused view of how the category’s creative playbook is evolving.
All data and examples were sourced from the creative intelligence platform HookRadar. We analyzed creatives from Meta and AppLovin observed during August 2026. The analysis covered both videos and playables. Creatives were compared using HookRadar creative performance metrics.
A note on HookRadar’s creative metrics
Signal is an indicator of creative strength based on factors such as longevity and repeated use. It ranges from 0 to 10,000, with higher values indicating a stronger observed signal.
Score translates Signal into a simpler performance tier from A to D. An A corresponds to a Signal of 8,000–10,000, a B to 6,000–7,999, and so on.
Cost (available for AppLovin) is a relative estimate of how much the advertiser pays to serve a creative. It is expressed on a scale from 1 to 5, with higher values indicating more expensive inventory. A high Cost may signal aggressive audience buying by an advertiser that is scaling successfully, a push to grow the user base quickly, or the economics of a category that can sustain high acquisition costs.
These metrics are directional rather than advertiser-reported. They help compare creative patterns, but they should not be treated as exact spend, ROAS, or proof that a particular creative choice caused performance.
The category has converged on a shared creative language
At first glance, the competitive landscape looks repetitive. Most ads use the same basic ingredients: a colorful board, a moving conveyor, a hand indicating the next action, and a sequence of objects being sorted, cleared, filled, or unblocked. The viewer does not need a tutorial – one or two moves are usually enough to understand what is happening.
This similarity is not simply a lack of imagination. It suggests that the market has found a visual language that communicates the product extremely efficiently. One of the most reusable structures across the dataset is extremely simple:
1. open directly on gameplay, sometimes preceded by an extremely brief opening frame;
2. demonstrate several satisfying actions;
3. optionally show another level or a selection of levels;
4. end with a direct CTA such as “Play now.”
Colony Flow: core gameplay showcase with CTA – AppLovin video + playable · Score A · Signal 9,890 · Cost 5/5
Pixel Flow: core gameplay showcase – AppLovin video · Score A · Signal 9,258 · Cost 4/5
Across the games analysed, the dominant promise is also remarkably consistent. The ads sell relaxation, satisfaction, calm, smoothness, and flow. They position these games less as demanding brain teasers and more as a form of stress relief. Most ads don’t use complex audio – just simple, pleasant ASMR sounds.
Several advertisers explicitly sell breadth by showing a sequence of different levels in the same ad or illustrate multiple levels in the final shot with CTA. This adds a second promise after the initial satisfying action: the player is not downloading one puzzle, but a continuing stream of visual experiences.
Sand Loop: multiple levels in one creative – AppLovin video + playable · Score A · Signal 9,909 · Cost 3/5
Hotpot Loop: multiple levels in one creative – AppLovin video + playable · Score A · Signal 8,788 · Cost 4/5
The scalable creative unit is a stable mechanic with replaceable elements
The strongest advertisers are not producing hundreds of unrelated concepts. They are producing many variations of a small number of proven systems.
The core interaction stays stable while the creative team changes details: a different pixel picture, knitted pattern, sand artwork, food arrangement, elements on the board, etc. Small changes to the opening beat, framing, artwork, and CTA create new tests.
Variable 1: the artwork
This is especially visible in games built around clearing artwork. The artwork functions as a key variable across tests. A cat, face, planet, wave, or other recognizable silhouette gives the viewer new experience without changing the core mechanic.
The experiments around the artwork can also evolve around puzzle difficulty. Simple images make the mechanic instantly readable, while more complex pictures use many shades of the same color and create a denser, more challenging-looking board.
Sandy Jam: complex sand artwork – AppLovin video · Score A · Signal 9,383 · Cost 5/5
Variable 2: the opening beat
Another option is to tweak the opening instead of the artwork. One of Pixel Flow’s recent top-performing ads takes the proven standard “gameplay + final shot with levels and CTA” and adds a dynamic first shot that previews a variety of levels from the game, paired with the line “push the limits.”
Pixel Flow: dynamic level preview opening – AppLovin video + playable · Score A · Signal 9,789 · Cost 1/5
Variable 3: the final shot
While most ads end with a satisfying completion and “Play Now” CTA, some finish with a fail state to create tension and challenge the viewer to do better. Marble Sort, for example, keeps the real mechanic close to the original but ends with a plausible mistake, adding urgency without introducing a separate story or mini-game.
Marble Sort: fail state – AppLovin video · Score A · Signal 8,289 · Cost 4/5
Сreative distance: how far can an ad move from the real game?
Most of the strongest ads discussed above take the simplest route: they show the real game. When the core loop is already clear and satisfying, there is little reason to replace it without evidence that the alternative performs better.
That does not mean experimentation should stop. It means that every step away from the product introduces risk. The further an ad moves from the real experience, the more its added attention must be weighed against expectation mismatch and lower-quality installs.
We can describe this gap using a simple creative-distance scale:
- Distance 0: Real gameplay, rules, and visual language;
- Distance 1: The real mechanic with a new skin, board element, setting, or visual wrapper;
- Distance 2: The same product identity with a modified objective, interaction, or resource constraint;
- Distance 3: A substantially different mini-game presented under the original brand.
Small changes preserve product clarity
Loop Sort changes the background and board design while retaining the recognizable sorting loop. This is a clear Distance 1 variation: the presentation changes, but the viewer still sees the game they would install.
Loop Sort: modified setting and board – Meta video · Score A · Signal 9.8K
Marble Sort goes slightly further by introducing a ball multiplier that does not exist in the base game. The conveyor and color-sorting logic remain familiar, but the additional rule moves the concept toward Distance 2.
Marble Sort: ball-multiplier version – Meta video · Score A · Signal 9.2K
These experiments create novelty without discarding the product’s strongest asset: an interaction the viewer can understand immediately.
Larger departures borrow proven hooks from other games
Some advertisers go beyond visual variations and import mechanics from adjacent titles or entirely different puzzle categories.
Yarn Loop, for example, has tested a sand-style interaction associated with Sand Loop and Sandy Jam. The yarn identity remains, but the behavior of the material is adapted to a visual trend already spreading through the category.
Yarn Loop: sand-mechanic test – AppLovin playable · Score A · Signal 9,110 · Cost 5/5
One of Pixel Flow’s recent top-performing creatives makes a similar move. The video borrows a Zuma-style mechanic, while the accompanying playable is inspired by the ant-based interaction used in Colony Flow. Pixel Flow’s familiar visual identity remains, but both executions reframe it through mechanics associated with other puzzle formats.
Pixel Flow: Zuma-style mechanic – AppLovin video + playable · Score A · Signal 9,723 · Cost 3/5
This shows how quickly creative ideas travel. A mechanic that performs well, or is simply visually compelling, in one game can become an advertising test for another, even if it never enters the actual product.
Yarn Loop has also adapted the widely used “save the king” formula popularized by Royal Match. It is a familiar – and somewhat derivative – hook, but an interesting cross-genre experiment: yarn preserves the product’s visual identity, while the original sorting objective is replaced by a dragon-led rescue scenario.
Yarn Loop: save-the-character test – AppLovin video + playable · Score C · Signal 4,635 · Cost 4/5
This kind of concept may create a stronger dramatic hook, but it also makes a different promise from the product itself. Its value should therefore be judged beyond click-through rate, using conversion quality and downstream retention.
Characters can add context – or delay the product
Not every character-led opening changes the mechanic. Some simply add a narrative wrapper before gameplay begins. This creates a different form of friction: time to understandable gameplay.
Colony Flow has tested several such openings. In one, ants carry colorful cubes; in another, an ant watches TV. Only after this introductory scene does the camera transition to the puzzle board.
- Colony Flow: ants carrying cubes – AppLovin video · Score A · Signal 9,520 · Cost 5/5
- Colony Flow: ant-watching-TV wrapper – AppLovin video · Score D · Signal 2,410 · Cost 4/5
Yarn Loop has used a similar structure, opening with stressed orange characters caught in traffic before moving into the game.
Yarn Loop: characters stuck in traffic – AppLovin video · Score C · Signal 4,439 · Cost 5/5
These scenes can make the world more distinctive, establish a theme, or create an emotional premise. But they also create an additional layer to decode and postpone the moment when viewers see the gameplay. And if the character delays the first understandable gameplay action, it competes with the product’s strongest natural hook.
Final takeaway and lessons for creative teams
The clearest conclusion from this analysis is that the strongest sort puzzle ads tend to stay close to the actual product. Clean gameplay videos and simple product-demo playables generally show stronger Signals than elaborate reskins, story-heavy wrappers, or concepts built around additional mechanics.
Also, category leaders do not simply find one winning ad. They find repeatable creative structure: preserve the satisfying interaction, then vary the artwork, opening beat, level complexity, framing, pacing, CTA. This creates freshness without sacrificing the clarity of the product promise.
This helps explain Pixel Flow’s success. First-mover advantage gave the game an early lead in the conveyor-sort niche, but timing alone does not explain its staying power. The mechanic is immediately readable, the visual execution is polished, and a single satisfying gameplay sequence can support multiple minor creative variations.
HookRadar data also suggests that Pixel Flow is among the category’s most active advertisers on AppLovin in terms of new creative output, alongside Colony Flow. While volume alone does not guarantee performance, a steady pace of iteration helps teams refresh proven concepts and identify scalable variations.
Thus, the most practical lesson for other creative teams is modular experimentation. Start with a proven gameplay baseline, keep the core mechanic constant, and change one variable at a time. Test new artwork against the same opening, a faster opening against the same level, or a fail state on the same board. Once a variable improves performance consistently, combine it with another proven element. More distant concepts – borrowed mechanics, character stories, or alternative objectives – should be treated as separate test branches and evaluated beyond CTR, including install quality and retention.
The lesson is not to avoid experimentation, but to structure it. In conveyor-based sort puzzle games, the product already provides the hook. The creative advantage comes from presenting that hook clearly, capturing the mechanic at its most satisfying, and building a disciplined system of variations around it.
Head of Growth at HookRadar
