What LinkedIn actually rewards: dwell time over reactions
The question: when the feed decides what to amplify, does a reaction count for more than the seconds someone spends reading?
The dataset: a 2023 analysis pooling ~9,000 organic posts from mid-size B2B pages, cross-referenced with platform engineer talks. Dwell time here means the seconds a viewer holds a post on screen before scrolling — a proxy for attention, not a click.
Three findings:
— Posts in the top quartile for median dwell got ~3.4x the reach of bottom-quartile posts at equal reaction counts.
— A 'like' added almost nothing once dwell was controlled for; comments still mattered, but partly because they extend dwell.
— Carousels and text-heavy posts won dwell; single links lost it.
Caveats: this is correlation, not causation — high-quality posts attract both dwell and reach, so dwell may be a marker, not a lever. Sampling skewed toward English-language B2B. Treat as directional.
What it means for B2B: chasing 'like-bait' optimizes the wrong signal. Design for the 8-second hold — front-load tension, withhold the payoff.
Bottom line: attention is the currency; reactions are loose change.
The question: when the feed decides what to amplify, does a reaction count for more than the seconds someone spends reading?
The dataset: a 2023 analysis pooling ~9,000 organic posts from mid-size B2B pages, cross-referenced with platform engineer talks. Dwell time here means the seconds a viewer holds a post on screen before scrolling — a proxy for attention, not a click.
Three findings:
— Posts in the top quartile for median dwell got ~3.4x the reach of bottom-quartile posts at equal reaction counts.
— A 'like' added almost nothing once dwell was controlled for; comments still mattered, but partly because they extend dwell.
— Carousels and text-heavy posts won dwell; single links lost it.
Caveats: this is correlation, not causation — high-quality posts attract both dwell and reach, so dwell may be a marker, not a lever. Sampling skewed toward English-language B2B. Treat as directional.
What it means for B2B: chasing 'like-bait' optimizes the wrong signal. Design for the 8-second hold — front-load tension, withhold the payoff.
Bottom line: attention is the currency; reactions are loose change.
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Вышел ZCode - аналог Claude code
Вышел ZCode — десктопный аналог Claude Code от разработчиков GLM-5.2. Работает с API от Anthropic, поддерживает SSH-деплой на сервер, в том числе Linux.
Вместо пошаговых скриптов — система целеполагания Goal: закидываешь сложный промт, агент сам разбивает задачу и выполняет. Плюс управление через Telegram-бота.
Но главная фича — мультиагентность…
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Вышел ZCode — десктопный аналог Claude Code от разработчиков GLM-5.2. Работает с API от Anthropic, поддерживает SSH-деплой на сервер, в том числе Linux.
Вместо пошаговых скриптов — система целеполагания Goal: закидываешь сложный промт, агент сам разбивает задачу и выполняет. Плюс управление через Telegram-бота.
Но главная фича — мультиагентность…
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Cloudeflare грозит Google блокировкой трафика
Cloudflare объявил: с 15 сентября 2026 года ИИ-краулеры будут заблокированы по умолчанию на всех сайтах с рекламой — включая Googlebot, Applebot и Bingbot.
Главная претензия — к Google: один и тот же бот индексирует страницы и собирает данные для обучения нейросетей, что даёт поисковику нечестное преимущество.
Но есть нюанс, который меняет всю к…
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Cloudflare объявил: с 15 сентября 2026 года ИИ-краулеры будут заблокированы по умолчанию на всех сайтах с рекламой — включая Googlebot, Applebot и Bingbot.
Главная претензия — к Google: один и тот же бот индексирует страницы и собирает данные для обучения нейросетей, что даёт поисковику нечестное преимущество.
Но есть нюанс, который меняет всю к…
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Гайд: как заработать первые деньги на Pornhub
Pornhub — самый посещаемый адалт-сайт в мире, и на нём действительно можно зарабатывать. Но схема устроена иначе, чем кажется.
Автор залил ролики, набрал 16 000 просмотров — и получил 47 центов встроенной монетизации. Реальные деньги были в другом.
Есть нюансы с верификацией, голосом в роликах и законодательством РФ, которые ломают большинство с…
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Pornhub — самый посещаемый адалт-сайт в мире, и на нём действительно можно зарабатывать. Но схема устроена иначе, чем кажется.
Автор залил ролики, набрал 16 000 просмотров — и получил 47 центов встроенной монетизации. Реальные деньги были в другом.
Есть нюансы с верификацией, голосом в роликах и законодательством РФ, которые ломают большинство с…
➡️ Читайте на сайте: https://aff.top/blog/gaid-kak-zarabotat-pervye-dengi-na-pornhub
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The golden-hour comment window is shorter than you think
The question: does the timing of early comments — not just their count — shape how far a LinkedIn post travels?
The dataset: a creator-tool company analyzed ~50,000 posts, logging the timestamp of every comment relative to publish time, then correlated 'first-hour comment velocity' with 24-hour reach.
Three findings:
— Posts that earned 5+ substantive comments within the first 60 minutes outreached comparable posts by roughly 2x.
— Comments after hour two correlated weakly with reach — the amplification decision appears largely made early.
— One-word replies ('Great post!') underperformed; comments over ~12 words tracked with higher reach, plausibly via dwell.
Caveats: 'substantive' was scored by length, a crude proxy; the company sells engagement scheduling, a conflict of interest. Correlation, not causation. Treat as directional.
What it means for B2B: the much-mocked 'engagement pod' has a kernel of mechanism truth — early, real conversation signals quality to the ranker. The ethical version: publish when your network is awake, reply to every early comment within minutes to keep the thread alive, and seed a genuine question that invites length.
Bottom line: the first hour is the audition; everything after is the encore.
The question: does the timing of early comments — not just their count — shape how far a LinkedIn post travels?
The dataset: a creator-tool company analyzed ~50,000 posts, logging the timestamp of every comment relative to publish time, then correlated 'first-hour comment velocity' with 24-hour reach.
Three findings:
— Posts that earned 5+ substantive comments within the first 60 minutes outreached comparable posts by roughly 2x.
— Comments after hour two correlated weakly with reach — the amplification decision appears largely made early.
— One-word replies ('Great post!') underperformed; comments over ~12 words tracked with higher reach, plausibly via dwell.
Caveats: 'substantive' was scored by length, a crude proxy; the company sells engagement scheduling, a conflict of interest. Correlation, not causation. Treat as directional.
What it means for B2B: the much-mocked 'engagement pod' has a kernel of mechanism truth — early, real conversation signals quality to the ranker. The ethical version: publish when your network is awake, reply to every early comment within minutes to keep the thread alive, and seed a genuine question that invites length.
Bottom line: the first hour is the audition; everything after is the encore.
Thought leadership data: the 'too much bad content' paradox
The question: does publishing thought leadership reliably build B2B pipeline, or can it backfire?
The dataset: the annual Edelman–LinkedIn B2B Thought Leadership study surveys ~3,500 management-level buyers and C-suite executives across markets, asking how content shaped purchase decisions and vendor perception.
Three findings:
— ~75% of decision-makers said a piece of thought leadership led them to research a product they hadn't considered.
— But ~70% said most thought leadership offered no valuable insight — and a majority said weak content actively lowered their respect for the vendor.
— Roughly half of C-suite buyers said strong content directly influenced who won the deal, often before sales contact.
Caveats: self-reported buyer recall is noisy — people rationalize decisions after the fact. Edelman sells communications services. Treat directional, but it's a large recurring sample.
What it means for B2B: thought leadership is not a volume game; it carries downside risk. Mediocre content doesn't sit at zero — it subtracts from brand equity. One genuinely contrarian, well-argued piece beats twelve safe ones.
Bottom line: publish less, but never publish forgettable.
The question: does publishing thought leadership reliably build B2B pipeline, or can it backfire?
The dataset: the annual Edelman–LinkedIn B2B Thought Leadership study surveys ~3,500 management-level buyers and C-suite executives across markets, asking how content shaped purchase decisions and vendor perception.
Three findings:
— ~75% of decision-makers said a piece of thought leadership led them to research a product they hadn't considered.
— But ~70% said most thought leadership offered no valuable insight — and a majority said weak content actively lowered their respect for the vendor.
— Roughly half of C-suite buyers said strong content directly influenced who won the deal, often before sales contact.
Caveats: self-reported buyer recall is noisy — people rationalize decisions after the fact. Edelman sells communications services. Treat directional, but it's a large recurring sample.
What it means for B2B: thought leadership is not a volume game; it carries downside risk. Mediocre content doesn't sit at zero — it subtracts from brand equity. One genuinely contrarian, well-argued piece beats twelve safe ones.
Bottom line: publish less, but never publish forgettable.
The 95-5 rule: most of your buyers aren't in-market
The question: at any given moment, what share of B2B buyers are actually ready to purchase — and what does that imply for content?
The dataset: the Ehrenberg-Bass Institute's B2B work, drawing on category-purchase-cycle data, estimates how many buyers in a category are 'in-market' in a given quarter versus dormant.
Three findings:
— Only ~5% of business buyers are actively in a buying cycle at any time; ~95% are out-of-market, not shopping.
— Purchase cycles for considered B2B categories often run 1–7 years, so today's content mostly reaches people who'll buy much later.
— 'Mental availability' — being the brand recalled when need arises — predicts inclusion in the consideration set more than in-the-moment persuasion.
Caveats: the 5% figure is a category-dependent average, not a constant; cycle lengths vary widely. Treat the ratio as a planning heuristic, not a measured truth for your funnel.
What it means for B2B: lead-gen content optimized only for the 5% ignores the 95% who decide your shortlist position years out. Brand-building isn't fluffy — it's memory pre-loading.
Bottom line: you're not closing today's buyer; you're being remembered by next year's.
The question: at any given moment, what share of B2B buyers are actually ready to purchase — and what does that imply for content?
The dataset: the Ehrenberg-Bass Institute's B2B work, drawing on category-purchase-cycle data, estimates how many buyers in a category are 'in-market' in a given quarter versus dormant.
Three findings:
— Only ~5% of business buyers are actively in a buying cycle at any time; ~95% are out-of-market, not shopping.
— Purchase cycles for considered B2B categories often run 1–7 years, so today's content mostly reaches people who'll buy much later.
— 'Mental availability' — being the brand recalled when need arises — predicts inclusion in the consideration set more than in-the-moment persuasion.
Caveats: the 5% figure is a category-dependent average, not a constant; cycle lengths vary widely. Treat the ratio as a planning heuristic, not a measured truth for your funnel.
What it means for B2B: lead-gen content optimized only for the 5% ignores the 95% who decide your shortlist position years out. Brand-building isn't fluffy — it's memory pre-loading.
Bottom line: you're not closing today's buyer; you're being remembered by next year's.
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Сбер запустит свой криптокошелёк
Сбер готов запустить криптокошелёк — инфраструктура уже есть. Ждут только закона о регулировании крипты, который планируют принять к 1 сентября 2026 года.
Хранить и, судя по всему, обменивать крипту можно будет прямо в приложении — без сторонних обменников.
Но есть один нюанс, из-за которого обменники никуда не денутся. 🔍
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Сбер готов запустить криптокошелёк — инфраструктура уже есть. Ждут только закона о регулировании крипты, который планируют принять к 1 сентября 2026 года.
Хранить и, судя по всему, обменивать крипту можно будет прямо в приложении — без сторонних обменников.
Но есть один нюанс, из-за которого обменники никуда не денутся. 🔍
➡️ Читайте на сайте: https://aff.top/blog/sber-zapustit-svoi-kriptokoshelek
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Индия потребовала от Telegram удалять пиратский контент
Индия потребовала от Telegram удалять пиратский контент — претензия в том, что платформа не ограничивает размер файлов, что позволяет свободно распространять фильмы.
Дуров ответил, что Telegram годами работает в Индии без какой-либо коммерческой выгоды для себя.
Почему давление началось именно сейчас — вопрос открытый. Возможный ответ — в блоге.
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Индия потребовала от Telegram удалять пиратский контент — претензия в том, что платформа не ограничивает размер файлов, что позволяет свободно распространять фильмы.
Дуров ответил, что Telegram годами работает в Индии без какой-либо коммерческой выгоды для себя.
Почему давление началось именно сейчас — вопрос открытый. Возможный ответ — в блоге.
➡️ Читайте на сайте: https://aff.top/blog/indiia-potrebovala-ot-telegram-udaliat-piratskii-kontent
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Google ads меняет стратегию по конверсиям
Google меняет логику автоматических стратегий ставок: с 17 августа 2026 года кампании будут строже придерживаться указанного целевого CPA, а не давать лиды по минимально возможной цене.
Если сейчас твоя кампания даёт лиды по $5, а цель стоит $10 — после обновления алгоритм «поднимет» фактическую стоимость лида к целевой, зато отдаст больше трафик…
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Google меняет логику автоматических стратегий ставок: с 17 августа 2026 года кампании будут строже придерживаться указанного целевого CPA, а не давать лиды по минимально возможной цене.
Если сейчас твоя кампания даёт лиды по $5, а цель стоит $10 — после обновления алгоритм «поднимет» фактическую стоимость лида к целевой, зато отдаст больше трафик…
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Does native video actually beat text on LinkedIn? It's contested
The question: which post format earns the most reach and engagement on LinkedIn — and has the answer flipped?
The dataset: two sources in tension. A 2021–2022 corpus of ~1M posts ranked text and document (carousel) posts highest for reach; a 2024 platform push and several creator studies (~10–40k posts each) reported native video reach climbing sharply after LinkedIn began promoting a video feed.
Three findings:
— In the older data, plain-text and carousel posts beat video on reach-per-impression.
— By 2024, video impressions grew double-digits year over year, and short native video began over-indexing — consistent with platform amplification of a format it wants to grow.
— Across both eras, external-link posts consistently underperformed, regardless of format.
Caveats: format winners are a moving target set by platform incentives, not audience preference; creator studies have selection bias toward accounts already winning. Treat as directional and time-bound.
What it means for B2B: 'best format' is whatever the platform is currently subsidizing. Don't over-invest in one format on permanent terms; track reach-per-format monthly on your own account.
Bottom line: the algorithm picks favorites — read the room every quarter.
The question: which post format earns the most reach and engagement on LinkedIn — and has the answer flipped?
The dataset: two sources in tension. A 2021–2022 corpus of ~1M posts ranked text and document (carousel) posts highest for reach; a 2024 platform push and several creator studies (~10–40k posts each) reported native video reach climbing sharply after LinkedIn began promoting a video feed.
Three findings:
— In the older data, plain-text and carousel posts beat video on reach-per-impression.
— By 2024, video impressions grew double-digits year over year, and short native video began over-indexing — consistent with platform amplification of a format it wants to grow.
— Across both eras, external-link posts consistently underperformed, regardless of format.
Caveats: format winners are a moving target set by platform incentives, not audience preference; creator studies have selection bias toward accounts already winning. Treat as directional and time-bound.
What it means for B2B: 'best format' is whatever the platform is currently subsidizing. Don't over-invest in one format on permanent terms; track reach-per-format monthly on your own account.
Bottom line: the algorithm picks favorites — read the room every quarter.