В публичный релиз вышел Fable 5.1

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1xBet перестал спонсировать эмоции

История о том, как казахстанцы зарегистрировали рекламный слоган 1xBet, а сам бренд оказался в юридической ловушке: после сделки с TonyBet права на товарный знак так и не выкупили. На фоне ареста активов Романа Семиохина и уголовного дела по азартным играм вывод простой: с 1xBet сейчас лучше не строить рекламные связки на рынке Казахстана.

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За продажу аккаунтов в мессенджере теперь грозит статья

С 1 сентября 2026 года продажа аккаунтов соцсетей и мессенджеров в России стала уголовно и административно рискованной: штраф до 700 тысяч рублей, принудительные работы или лишение свободы до 2–3 лет. Если через аккаунт украдут деньги, продавца могут записать в соучастники мошенничества по ст. 159 УК РФ с риском до 10 лет.

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Deep dive: testimonial carousel vs stacked testimonials

Carousels save vertical space, which is why designers love them and why the data quietly hates them.

What the research shows: Nielsen Norman Group's carousel usability work and the often-cited Notre Dame 'carousel interaction' study found that auto-rotating carousels get the vast majority of clicks on the first slide (one report: ~89% of slide views and ~1% click-through on slides 2+). The effect is banner blindness plus motion that moves the content away before it's read. Stacked testimonials — all visible, scrolled through linearly — get read because they sit in the natural F-pattern of the scroll.

The mechanism is reading control and trust density. Social proof works by accumulation: the felt safety comes from seeing many independent voices, not one. A carousel shows one at a time and auto-advances, so the visitor never perceives the volume — and auto-motion next to a claim can even read as a slideshow ad, raising perceived risk. A stacked block lets the eye sample several at once, registering 'lots of people' as a single impression.

Practical implication for affiliate landers: stack your proof. If space is the concern, that's a signal you have too much else competing above the fold, not that the testimonials should hide. Three to five short, attributed, specific testimonials in a visible column beat a ten-slide carousel almost every time. If you must use motion, make it manual-advance only — never auto-rotate next to a conversion decision.

TL;DR:
— Auto-carousels concentrate nearly all attention on slide one; the rest is effectively invisible
— Social proof works by perceived volume, which a one-at-a-time carousel destroys
— Stack 3-5 specific, attributed testimonials in the F-pattern; if you carousel, manual-advance only

Google выпустил в релиз Gemini 3.8 flash

Google выпустил Gemini 3.8 Flash спустя две недели после 3.7: модель обещает сильный кодинг и быстрый отклик, а цена остаётся низкой — $0,75 за млн входящих токенов и $3,75 за млн исходящих. Вывод простой: пока Google демпингует, это выгодный вариант для тех, кому нужны дешёвые и быстрые нейросетевые запросы.

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Яндекс запустил сервис ПроБлогер

Яндекс запустил ПроБлогер — платформу для монетизации небольших каналов и групп во ВКонтакте, Дзене, Максе, Telegram, YouTube и Rutube. Для модерации нужны от 1000 подписчиков, свежие публикации, статус самозанятого, ИП или юрлица и соблюдение закона. Доход доступен через автопостинг с оплатой за просмотры и партнёрские ссылки; CPM можно задать самому или отдать аукциону.

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Google ads упростил перенос креативов из Asset Studio

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Deep dive: single-step vs multi-step forms

Fewer fields convert better — that's the well-worn rule. Multi-step forms appear to break it, and understanding why explains when to use each.

What the data shows: HubSpot's and Formstack's aggregate form data both find conversion declining as field count rises, with a steep drop past ~3-4 fields. Yet a number of lead-gen split-tests report multi-step forms — same total fields, split across screens — outperforming the single long form by 20-60%. Same data collected, more conversions. The fields didn't change; the perception did.

The mechanism is two psychological effects. First, perceived effort: a single screen with eight fields signals 'this is long' before the visitor starts, raising the entry barrier. Splitting it shows two or three fields per step, so the first screen looks trivial. Second, the sunk-cost / commitment effect: once someone answers step one, the partial investment plus the progress bar pulls them to finish (a mild form of the Zeigarnik effect — open loops nag to be closed).

Practical implication for affiliate landers: if you genuinely need many fields (mortgage, insurance, B2B qualification), multi-step almost always wins — lead with the easiest, least-personal question, and put email/phone last after commitment is built. If you only need email, don't manufacture steps; a single field is faster and a fake multi-step adds friction. Multi-step is a tool for long forms, not a universal upgrade.

TL;DR:
— Conversion falls sharply past ~3-4 visible fields — perceived effort, not actual effort
— Multi-step wins on long forms via low entry barrier + commitment/progress momentum
— Ask the easy question first, personal fields last; don't fake steps for a single-field form

Deep dive: CTA above the fold vs below — testing the oldest assumption

'Always put the CTA above the fold' is gospel. It's also one of the most reliably wrong rules in the field once you separate page types.

What the research shows: ContentVerve's frequently-cited test found a below-the-fold CTA outperforming the above-fold version by ~304% — but on a complex, high-consideration product. Conversely, Nielsen Norman's scroll research and Chartbeat's attention data confirm that on simple offers, attention is heaviest above the fold and drops fast (most engaged time sits in the top viewport). Both are true.

The mechanism is decision readiness. A CTA converts when the visitor has enough information to act. For a one-line, obvious offer, that readiness exists immediately, so above the fold is correct. For a complex or high-risk offer, asking for the click before the value is explained raises perceived risk and the visitor declines — the below-fold CTA wins because by the time they reach it, the copy has done its job.

Practical implication for affiliate landers: don't place the CTA by viewport position; place it at the point of conviction. For a long lander, repeat the CTA — after the value proposition, after proof, after objection handling — so it appears wherever conviction is reached. Above-fold-only is right for simple offers and actively harmful for considered ones. The fold is a measure of attention, not the right place for every ask.

TL;DR:
— Above-fold CTAs win on simple offers where readiness is instant; below-fold wins on complex ones
— Place the CTA at the point of conviction, not by viewport position
— On long landers, repeat the CTA at each conviction moment rather than betting on one above-fold button

Deep dive: A/B testing vs multivariate testing — a traffic-math decision

Multivariate testing (MVT) sounds strictly better than A/B — test many elements at once, learn interactions. The reason most landers should not use it is arithmetic, not preference.

What the data shows: an A/B test needs roughly a few hundred to a few thousand conversions per variant to reach significance, depending on baseline rate and the lift you want to detect. MVT testing, say, 3 headlines × 3 images × 2 CTAs creates 18 combinations — and your traffic is now split 18 ways. The sample-size requirement scales with the number of combinations, so a page that could resolve an A/B test in two weeks might need months for the equivalent MVT, by which point seasonality and traffic-source drift contaminate the result.

The mechanism is statistical power versus interaction insight. A/B isolates one change and answers 'did this win' fast. MVT answers 'which combination wins and do elements interact' but demands the traffic to fill every cell. Below roughly tens of thousands of conversions per month, MVT cells stay underpowered and you ship noise.

Practical implication for affiliate landers: most affiliate pages don't have MVT-grade traffic. Use sequential A/B tests on the highest-leverage element first (usually the headline / message match), then the next. Reserve MVT for high-volume pages where you specifically suspect interaction effects — e.g., a headline that only works with a particular image. For everyone else, MVT is a slower way to a less certain answer.

TL;DR:
— MVT splits traffic across every element combination, multiplying the sample size you need
— Below tens of thousands of monthly conversions, MVT cells are underpowered — you ship noise
— Default to sequential A/B on the highest-leverage element; use MVT only for high-traffic interaction hunts

Crossover rec

A bit outside our lane, but if you run micro-influencer sourcing too, @HiddenGemsHunt is the one to follow. Field-tested tricks for finding undervalued micro-influencers before everyone else:…