OpenAI извинились за новый дизайн ChatGPT

OpenAI признала, что новый десктопный ChatGPT вышел перегруженным: слитые в один интерфейс Chat, Work и Codex запутали пользователей и раздули приложение почти в 10 раз. После хейта обновление откатили, а вывод простой: функции надо упаковывать в единый UX без лишнего шума, даже если это помогает росту базы.

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Q: 27% of our leads were silently rejected as duplicates — where were they coming from?

A: Duplicate rejection means the same person submitted more than once, and the advertiser only pays for the first. We traced one nutra campaign where 27% of leads bounced as dupes.

The affiliate added a hash check on their own form (storing a one-way fingerprint of email + phone) before sending leads onward. The duplicates split into three causes:
— 14% were users double-clicking the submit button (a front-end bug firing two leads)
— 9% were the same users retargeted across two of their own campaigns, submitting twice
— 4% were genuinely recycled data from a traffic source

The double-click bug was a one-line fix (disable the button on submit). The retargeting overlap they solved with a 30-day suppression list across campaigns.

Result: duplicate rejection fell from 27% to 6%, recovering most of the lost payout with zero new traffic spend.

Short version: most 'duplicate' rejections are your own double-fires and campaign overlap — dedupe on your side before blaming the source.

Still stuck? Drop your case in the comments.

ChatGPT 5.6 Luna и Terra подешевели

OpenAI резко снизила цены на GPT-5.6 Luna и Terra спустя три недели после релиза, сделав их заметно дешевле для массового использования. Sol осталась премиальной по прежнему прайсу, но получила Fast mode с ускорением до 2,5 раза. Вывод: компания давит ценой и скоростью, чтобы быстрее нарастить спрос и долю рынка.

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Доменная зона .web делегирован в корневую зону DNS

Verisign вывела .web в корневую зону DNS: теперь это полноценный TLD, но открытая регистрация ещё не стартовала. Сначала доступ получат владельцы совпадающих доменов в .com через LRP. Вывод для рынка: хорошие EMD в .com могут стать входным билетом в .web, если успеть занять брендовые имена раньше общего запуска.

➡️ Читайте на сайте: https://aff.top/blog/domennaia-zona-web-delegirovan-v-kornevuiu-zonu-dns

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В Facebook Ads появился раздел «Conversations»

Facebook Ads добавил Conversations с автоответом на комментарии: по ключевым словам можно сразу отправлять сообщение в личку. Для арбитража это новый способ прогрева и передачи ссылки без клоаки: в креативе можно просить оставить комментарий, а заинтересованных уводить с вайта на блэк уже в ДМ. Идея спорная, но её стоит тестировать.

➡️ Читайте на сайте: https://aff.top/blog/v-facebook-ads-poiavilsia-razdel-conversations

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Q: An advertiser rejected 33% of our leads for 'geo mismatch' — what was really happening?

A: Geo mismatch means the lead's claimed country didn't match the signals the advertiser saw. One team got hit with 33% rejection on a Tier-1 offer and assumed fraud.

They logged each rejected lead's IP country, browser language, and phone country code side by side. The pattern:
— 22% had a US IP but a phone number with a non-US country code (users abroad on home SIMs)
— 8% were VPN exit nodes in the wrong country (privacy-conscious real users, not fraud)
— 3% were genuine fraud spoofing geo

The big chunk wasn't fraud at all — it was real expats and travelers. The advertiser's rule was too blunt. Armed with the data, the affiliate negotiated a relaxed phone-country rule and added a VPN-detection note so honest VPN users got a softer check.

Result: rejection dropped from 33% to 11%, and most of the recovered leads converted normally.

Short version: 'geo mismatch' often catches real travelers and VPN users; log the actual signals before accepting the rejection.

Still stuck? Drop your case in the comments.

Q: One source sent us 12,000 clicks and 0 conversions in an hour — how did capping save the campaign?

A: That pattern (huge click volume, zero conversions) is classic click flooding — a source firing fake clicks to claim attribution or just burn your budget. Here's how one team contained it.

Their tracker alerted on a sub-ID sending 12,000 clicks in 60 minutes with a 0.0% conversion rate, while their normal sources ran 3-5%. The clicks shared:
— Identical user-agent string across 90% of hits
— No referrer, all direct
— Click-to-landing time averaging 40 milliseconds (no real page load)

They set an automatic rule: any sub-ID exceeding 500 clicks/hour with under 0.5% conversion gets auto-paused and flagged for review.

Result: the bad source was caught in minutes instead of after a full-day spend. They estimated the rule saved roughly $1,400 in budget that month and kept their overall conversion rate from cratering in the advertiser's eyes.

Short version: set an auto-pause rule on high-volume, zero-conversion sources — click floods are obvious if you watch click-to-conversion ratio in real time.

Still stuck? Drop your case in the comments.