My conversion rate doubled and my payouts got cut. Here's the trap.

The setup. Lead-gen, insurance vertical, paid on validated leads with a quality clawback. Illustrative numbers.

The move. I found an angle that doubled front-end CR — a punchier, more aggressive pre-lander. Volume of "conversions" soared. I scaled it 4x in a week, thrilled.

The numbers. CR went 4% to 8%. But lead quality cratered: the aggressive angle pulled tire-kickers. The advertiser's scrub rate went from 12% to 41%, and after two weeks they cut my payout from $22 to $15 citing quality. Net: I doubled raw conversions and my effective revenue per click FELL 9%. Then the payout cut hit the good traffic too.

The lesson. Front-end conversion rate and back-end quality are often inversely correlated in lead-gen. Optimizing the metric you can see (CR) while ignoring the one the advertiser sees (lead quality) gets your rates cut — and the cut applies to your whole account, not just the bad angle.

What I'd do differently. Optimize to net revenue-per-click after scrub, never raw CR. And ask for the scrub report weekly. The number that matters is the one on the advertiser's invoice, not my tracker.

Короткий домен Telegram перестал работать

Telegram лишился домена t.me: он разделегирован и больше не работает на уровне регистратора. Платформа срочно переезжает на telegram.me, а владельцам крупных каналов стоит обновить публичные ссылки. Сроки восстановления неизвестны, и есть риск, что t.me не вернётся вовсе на фоне давления на Telegram.

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Youtube тестирует поиск с AI

YouTube начал тестировать Ask YouTube — поиск с ИИ, где можно задавать вопросы обычным языком и получать не список ссылок, а готовую подборку видео и фрагментов.

Фича уже доступна в США и работает на сложные запросы: если нужно, ИИ уточняет вопрос и подсказывает следующий шаг.

Что это значит для поиска на YouTube и когда новинка дойдёт до других…

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The campaign was profitable Mon-Thu and bled out every weekend

The setup. B2B SaaS trial offer, search arbitrage, illustrative figures. Blended ROI hovered at break-even and I couldn't figure out why.

The move. Treated the campaign as one entity, adjusting bids on a weekly blended number that kept telling me "barely working, don't scale."

The numbers. When I finally split by day-of-week: Mon-Thu ran 1.45 ROI; Fri-Sun ran 0.52. B2B trials don't convert on weekends — nobody's signing up software on Saturday. Weekends were 40% of spend and ~15% of revenue, dragging the blended number to 1.01. The weekday business was genuinely great and I almost killed it.

The lesson. Blending across time hides the same way blending across geo does. A break-even campaign can be a stellar weekday business carrying a dead-weight weekend that should simply be turned off.

What I'd do differently. Dayparting isn't an advanced tactic, it's table stakes for any offer with a human-schedule conversion pattern. I now pull day-of-week and hour-of-day splits in week one. Killed the weekend spend, blended ROI jumped to 1.4 overnight — same campaign, just stopped buying traffic that couldn't convert.

Z.ai анонсировала новую GLM-5.5

Z.ai готовит релиз флагманской GLM-5.5: модель обещают показать в августе 2026 года.

Главная интрига — рост до 1 трлн параметров при том же контекстном окне в 1 млн токенов. Новинка снова будет заточена под код и агентные задачи.

Почему версия сразу 5.5, без 5.3 и 5.4, и что это может означать для рынка — в блоге.

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Telegram запустил собственный сервер для ботов

Telegram запустил собственный сервер для ботов и мани-приложений: теперь backend можно размещать прямо внутри инфраструктуры мессенджера.

Сервер работает на JavaScript/TypeScript, через вебхуки, и позволяет подключать SQL-базу для сбора контактов без посредников.

Пока неясны цена и ограничения — что именно уже можно тестировать, а где скрыт подв…

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The 3.0 ROI test that became a 0.9 at scale — and why that's normal

The setup. Native traffic, e-com offer. Test at $80/day printed a 3.0 ROI for nine straight days. Illustrative numbers, universal heartbreak.

The move. I went all-in: $80 to $600/day in two jumps, expecting maybe 2.5 at scale. Reasonable, right?

The numbers. The 3.0 came from one cheap, high-intent placement with maybe $100/day of inventory. To spend $600 the algo had to buy 5 other placements that ran 0.6-0.9. Blended fell to 0.9. The original placement was STILL doing 3.0 — there just wasn't more of it.

The lesson. A test ROI is a measurement of your best inventory slice, not the offer's scalable economics. The early money is always your cheapest, highest-intent traffic. Scaling means buying progressively worse traffic until marginal ROI hits 1.0 — that's the actual ceiling, and it's always lower than the test.

What I'd do differently. Whitelist the winning placement and scale it directly instead of letting the algo "explore." And expect scaled ROI to be roughly half the test ROI — if the test isn't 2x+ your break-even, it probably won't survive scale at all.

Google картинки станут конкурентом Pinterest

Google Картинки начали превращать в полноценную платформу с персональной лентой по прошлым запросам — по сути, в аналог Pinterest.

Во вкладке For you уже тестируют подборки, а ещё обещают коллекции и генерацию изображений во встроенной Nano Banana.

Как это будет работать и когда новинка дойдёт до других стран — в блоге.

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The payout bump that turned my best partner into my worst

The setup. Established CPA offer at $18, running 1.6 ROI for months. Rep offered a bump to $24 if I doubled volume. Illustrative numbers.

The move. Free money, obviously. I doubled spend to hit the volume tier and pocketed the higher rate.

The numbers. At $24 payout but double the volume, my traffic quality diluted (I bought looser placements to hit numbers), CR fell, and the advertiser's cap meant they started scrubbing harder to protect their budget. Effective payout after scrub: $19.50. Meanwhile my CPA rose from $11 to $16 chasing volume. Net ROI: 1.22, DOWN from 1.6. I made the rep's quarter and dented my own.

The lesson. A payout bump tied to a volume commitment isn't a raise, it's a trade: better rate for worse traffic economics. The advertiser knows the volume forces you down the quality curve and they price the scrub accordingly.

What I'd do differently. Model the full chain before accepting: what CPA do I hit at 2x volume, and what's the realistic post-scrub payout? If the higher rate doesn't survive my own scaling cost, the old deal was better. Sometimes the best move is keeping the smaller, cleaner number.

Россияне не смогут покупать стейблкоины

Россиянам могут закрыть доступ к покупке стейблкоинов: в новой версии закона их приравняли к иностранным активам.

Купить такие токены смогут только квалифицированные инвесторы — например, с активами от 24 млн рублей или доходом от 12 млн в год.

Что это значит для обычных пользователей и когда правило заработает — в блоге.

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I thought I'd cracked the offer. It was just January.

The setup. Weight-loss nutra, paid social, launched January 2nd. Illustrative numbers, seasonal humility.

The move. Out of the gate: 2.2 ROI, scaling smoothly, CR climbing. I told myself it was the creative angle. Scaled aggressively into February and March, reinvesting everything.

The numbers. Jan ROI 2.2 on $30k spend. Feb 1.5. March 0.85. April 0.6 and I was still pouring in budget I'd convinced myself the "winning system" deserved. The angle never changed — New Year's resolution demand did. I'd scaled INTO a demand cliff, putting the most money to work right as the audience's intent evaporated.

The lesson. Some verticals have brutal seasonality that masquerades as skill on the way up. Weight-loss in January, gifts in December, taxes in spring. A launch ROI inside a seasonal peak tells you about the season, not the campaign.

What I'd do differently. Check the vertical's Google Trends curve before crediting myself for a hot launch. If I'm launching at a seasonal peak, I scale cautiously and bank profit instead of reinvesting it all, because the regression is coming and the calendar already told me when.

Quick rec — @NutraTrench keeps a tight feed on nutra/health offers. If today's post landed, that one's for you.

The geo everyone ignored paid my rent for six months

The setup. Mainstream dating offer. Everyone in my circle ran US/UK/CA. I ran those too — and lost the bid war daily. Illustrative numbers.

The move. Out of frustration I tested 8 "boring" mid-tier geos nobody talked about: Portugal, Greece, Czechia, a few others. Small populations, low competition.

The numbers. US ran 0.95 ROI — too crowded, CPMs bid into the ground. The unglamorous geos averaged 1.7 because almost nobody competed for that inventory. Combined they only spent $200/day (small populations cap volume) but at 1.7 that's clean profit with near-zero competition stress. Six months, roughly $18k profit from geos my peers literally never mentioned.

The lesson. Competition is a cost. Everyone crowding the same tier-1 geos bids the margin out of them. The profit often hides in geos too small to interest the big players — uncrowded, cheaper inventory, sane CPMs.

What I'd do differently. Nothing on the strategy — but I'd have tested the long tail of geos from day one instead of bleeding into the tier-1 bid war first. The lesson generalizes: when everyone zigs to the obvious, the unsexy slice is where the margin lives.