๐Ÿš€ Live Optimon AI is out of beta: ranked answers from your own live GAM and Prebid data, and a briefing every morning before you ask.Read the post โ†’

Blog. Notes from the desk.

Ad-ops tactics, programmatic data, and the occasional rant about floor pricing. Written by the team building Optimon.

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A glass laboratory funnel on a marble counter, a thin violet stream running into it from a nearly empty beaker, a small full beaker below.

Search traffic is down. Here is how to read your GAM reports when sessions fall

When Google sends fewer visitors, every ad metric moves at once. How to separate the traffic loss from a real yield problem in Google Ad Manager, and which numbers to defend.

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A wooden shelf holding a row of black video cassettes with violet labels, one slot empty with a dust outline and a violet ribbon hanging where the cassette was.

Prebid Cache is gone. Six months on, here is the video header bidding checklist

Microsoft's public Prebid Cache closed on 30 April 2026. What breaks when a video setup still points at it, how to check yours in a browser console, and the three ways publishers replaced it.

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Fill rate and unfilled impressions can both mislead you. Three reports that do not

Why a 97 percent fill rate can hide a demand problem, why unfilled counts rise for harmless reasons, and the three Google Ad Manager reports that show what the inventory actually earned.

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An open weekly planner on a desk with five blank index cards pinned above it with violet pins.

Five programmatic yield workflows every publisher ad ops team should run

Five repeatable ad ops workflows that grow programmatic yield: floor tuning, ads.txt audits, viewability, first-party segments, and GAM pricing rules.

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The programmatic ecosystem, explained for publishers

How open auction, PMPs and programmatic guaranteed fit together, the risks that drain publisher yield, and how transparency keeps premium bidders.

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Two-colour print of a crowd raising round auction paddles, half of them violet, all at the same moment.

Header bidding pros and cons: what it adds, what it costs, how to tune it

What header bidding adds to publisher revenue, what it costs in latency and upkeep, client-side vs server-side, and how to tune a Prebid wrapper.

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Clay-style isometric steps at uneven heights with violet spheres resting on some and one falling off a step set too high.

Google Ad Manager price floors: how to set them without the hype

No tool changes GAM floors mid-auction. How to find floor gaps by comparing Prebid bids with your pricing rules, and fix them without hurting fill.

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An open newspaper spread on a desk with four empty ad spaces of different sizes outlined in violet tape.

Ad placements and formats: a publisher's guide to higher yield

Ad sizes and placements that earn on desktop, mobile web and in-app, why viewability drives eCPM, and how lazy loading and native formats lift yield.

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A newspaper kiosk at blue hour with its shutter two thirds down and violet light spilling onto wet cobblestones.

How to recover publisher ad revenue lost to ad blockers

How ad blockers work, what they cost publishers, and four things that recover revenue: value exchange, server-side ad insertion, native, ads.txt.

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The Optimon AI drawer open over the dashboard: a morning briefing with ranked causes, actions and a KPI summary row.

Meet Optimon AI: conclusions, not dashboards

Optimon AI answers plain-language questions from your live GAM and Prebid data: ranked causes, floor actions, and a briefing every morning before you ask.

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Cut-paper figures sorted into five groups on navy paper, each group ringed with violet ribbon.

Audience segmentation for publishers: turning first-party data into ad revenue

How publishers turn first-party audience segments into ad revenue: GAM key-values, Prebid first-party data, floors by segment, and PMP deals.

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The ynet logo over an aerial view of the Tel Aviv shoreline.

How ynet Group runs 25 apps and websites on one Ad Ops workflow with Optimon

How ynet Group runs 25 apps and websites with 500M monthly page views on one Ad Ops workflow, saving about 270 hours of work every month with Optimon.

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The Maariv logo over a stack of folded newspapers.

How Maariv Group increased its programmatic revenue by 740% in three years using Optimon

How Maariv Group grew programmatic revenue by 740% in three years using Optimon's monitoring, investigation, and AdX pricing tools.

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The Globes logo over glass office towers seen from below against a blue sky.

How Globes optimizes AdX price floors and saves operational costs using Optimon

How Globes sets AdX price floors with Optimon: better yield, and far less manual floor management.

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