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Paid ads in 2026: Google, Meta, TikTok — measurement, attribution, budget reality

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Paid ads in 2026: Google, Meta, TikTok — measurement, attribution, budget reality

Aior

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Paid ads have always been an arbitrage​

At its core, paid advertising is buying attention at one price and converting it to revenue at a higher price.

Google Ads: still the highest-intent traffic​

  • Search ads — high-intent users actively looking
  • Performance Max — automated multi-channel format
  • YouTube — for awareness, brand-build; some direct-response
  • Display — broad reach, low intent

Meta (Facebook + Instagram): the attribution puzzle​

  • Conversion campaigns — algorithm optimises for the conversion event
  • Reels-first creative — Reels has dominated organic; ad placement follows
  • Aspect-ratio variation — vertical for Stories / Reels; square for feed
  • iOS attribution still degraded post-ATT

TikTok Ads: the platform that ate the room​

  • Spark Ads — boost organic content into ads
  • Creative cadence required — rotation every 1-2 weeks
  • Younger demographics dominant but expanding
  • Lower CPMs than Meta in many markets

LinkedIn for B2B​

  • Sponsored Content for content distribution
  • Conversation ads / message ads for direct outreach
  • Lead gen forms for capturing in-platform
  • Higher CPMs but qualified audience

The privacy / attribution reality​

  • iOS App Tracking Transparency reduced cross-app attribution
  • Cookie-based web attribution increasingly unreliable
  • Server-side tracking (CAPI, Conversions API) regains some signal
  • First-party data integration (CRM-platform sync) the durable answer
  • Last-click attribution is misleading — incrementality testing is the truth

Measurement that's true​

  • MMM (Marketing Mix Modeling) — top-down, channel-level allocation
  • Incrementality testing — geo-holdout or audience-holdout
  • Conversion lift studies — Meta / Google native
  • Self-reported attribution — "where did you hear about us" survey

Creative is the lever​

  • Creative testing as a discipline — multiple concepts, multiple variations
  • Hooks (first 1-3 seconds of video) tested aggressively
  • Format diversity — talking head, screen share, ugc, animated
  • Refresh cadence

Audiences and targeting​

  • Lookalikes / similar audiences — narrow seed quality matters
  • Interest / behaviour targeting — increasingly less effective
  • Retargeting — for medium-consideration purchases, the most efficient spend
  • Custom audiences from CRM — often the best converting

The "narrow targeting beats broad" assumption is reversed on most platforms in 2026.

Bidding strategy​

  • Conversion-volume bidding for sufficient signal
  • Cost cap / target ROAS for cost discipline
  • Manual bidding rarely outperforms automated in 2026

Funnel structure​

  • Top-of-funnel — broad audiences, awareness creative
  • Mid-funnel — engaged audiences, considered messaging
  • Bottom-of-funnel — site visitors / cart abandoners
  • Retention — existing customers, post-purchase nurture

Budget discipline​

  • Diversified across channels
  • Reserved test budget — 10-20 % of spend
  • CAC and LTV tracked together
  • Seasonal flex

One pattern we'd warn about​

"We'll fix attribution later". The team operating without good attribution is making spend decisions on noise.

One pattern that always pays off​

Weekly creative review meeting — what's working, what's tiring, what's queued.

What's your channel mix?
 

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