We plan, build, and optimize Meta campaigns around audience strategy, creative testing, and server-side measurement.

Some of the 500+ brands we've worked with

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  • LC Waikiki
  • Arabam.com
  • Silverline
  • HangiKredi
  • Lezzet
  • Armut.com
Integrated campaigns across the Meta ecosystem

Meta rewards fresh creative and precise audiences. Without structured testing and strong measurement, even winning campaigns decay fast. We replace guesswork with a repeatable creative and audience rhythm.

We define the growth thesis, build a testing roadmap across creative and audiences, and use attribution data to decide what to expand, revise, or stop.

Meta performance decays as creative wears out, so the testing cadence is part of the deliverable.

Historical creative and audience data sit beside CAPI health and pixel evidence to shape a 90-day plan tied to revenue, then a creative testing matrix across hooks, formats, copy, and CTAs is matched to funnel stage and audience segment. Zeo launches with budget controls and a weekly testing cadence and adjusts bids, placements, audiences, and creative as evidence accumulates; production capacity, brand approval, and the server-side data your CAPI implementation sends stay on your side. ROAS, CPA, and creative-performance reporting carries its own limits rather than presenting platform-reported conversions as incrementality.

From account review to the next testing cycle
  1. Account audit & growth plan

    Historical creative and audience data sit beside CAPI health and pixel data. Together, they shape a 90-day plan tied to revenue.
  2. Creative and offer mapping

    We build a creative testing matrix across hooks, formats, copy, and CTAs, matched to funnel stage and audience segment.
  3. Launch & iterative optimization

    Campaigns launch with budget controls and a weekly testing cadence. We adjust bids, placements, audiences, and creative as evidence accumulates.
  4. Reporting & strategic reviews

    ROAS, CPA and creative-performance dashboards support recommendations for the next cycle, with reporting limits stated alongside them.

These clients describe the planning, measurement, and communication they experienced while working with Zeo.

Serkan Haşlak
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International success stories and the segmentation and diversity of Zeo Agency's clients were the main reasons we chose to work with them in the first place. At our very first meeting, we were convinced by their expertise. They think like us, they work like us, and they behave like us. What sets them apart from other service providers is discipline and communication. After working with them, we saw a significant increase across Foriba's digital channels. Thanks to them, we gained quality traffic and potential customers, which gave us more meetings with good leads and directly affected sales.

Serkan Haşlak - Marketing Director

Dr. Kadir Kırmızı
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Before working with Zeo, we had serious problems, especially with planning and measurement. Because we couldn't get complete measurements and reports, we struggled to evaluate our work. Evaluating the data correctly, in line with scientific rules, was the most important thing for us. At Zeo, there is a culture of measurement and evaluation above all else. We are impressed that their approach is entirely data-driven. We are glad that they take ownership of their work, give constant feedback, and stay in a continuous improvement cycle. Together, we have found ways to win more customers while spending less.

Dr. Kadir Kırmızı - General Manager

Serhan Demirel
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Before we started working with Zeo, we believed we couldn't get a return on our investment in Google Ads or run performance optimization properly. Once we were confident that campaign performance management was in expert hands, we could devote all of our time to development and integration. Our old campaigns gave way to campaigns that are built faster, localized without any burden on us thanks to Zeo's business partners, constantly optimized, and trackable in real time via dashboards, with conversion tracking that comes through in practical, detailed, and easy-to-read reports. We see Zeo as part of our team, no matter the location.

Serhan Demirel - International Digital Marketing Manager

Paid Search, Paid Social, CRO, and Programmatic each run under a named owner at Zeo. The consultants below are matched to the channel this page is about, so you can see who you'd actually work with.

Campaign structure, bidding, feeds, call tracking and reporting each live in their own tool. These are the ones our team runs accounts in.

Advertising platforms we buy on

  • Google Ads
  • Microsoft Advertising
  • Meta Ads
  • TikTok Ads
  • LinkedIn Ads
  • Amazon Ads
  • Pinterest Ads
  • Snapchat Ads
  • X Ads
  • Reddit Ads

PPC management and automation

  • Smartly.ioCreative and offer mapping, this page's own second process step, runs inside Smartly.io, whose own positioning is building ads faster by connecting creative and media in one workflow rather than briefing a designer separately from the media buy. It's the primary execution platform this page's campaign work runs through.
  • MadgicxDuring launch and iterative optimization, Madgicx's Meta-specific AI analysis runs as a second lens on account performance alongside Smartly.io's build workflow, since its own positioning is uncovering hidden ad insights a standard dashboard view doesn't surface. It's an analysis companion to Smartly.io's execution role, not a competing build platform.
  • BïrchAutomated budget and bid rules for iterative optimization run through the platform the registry lists as Revealbot, now rebranded Bïrch (bir.ch), still positioned around automating ad management across connected platforms. This is a rules-automation layer distinct from Madgicx's insight-surfacing role and Smartly.io's build workflow.

Ad creative and landing pages

  • AdCreative.aiThis page's own hero says Meta performance changes as creative wears out, which is what AdCreative.ai's high-converting ad generator addresses directly: fast variant production to keep the testing cycle fed rather than waiting on a design queue. Copy.ai and Anyword below handle the text half of the same creative-refresh need.
  • Copy.aiAlongside AdCreative.ai's visual variants, Copy.ai drafts the accompanying ad copy at volume, built into a broader GTM content workflow rather than a single-prompt tool. Anyword below handles the predictive-scoring half of the same copy pipeline.
  • AnywordOnce Copy.ai has drafted variants, Anyword's demand-gen performance prediction ranks which are worth testing with real Meta budget rather than launching every draft blind. The two split the same creative-copy pipeline this page's testing cycle depends on.
  • UnbounceWhen a Meta campaign needs a dedicated landing page rather than an existing site page, Unbounce builds it, with Smart Traffic able to route different Meta audience segments toward whichever variant converts best for them. This is the page-building layer feeding the offer and creative mapping this page's process names.

CRO and experimentation

  • ContentsquareOnce a campaign is live, Hotjar (now part of Contentsquare) reads what Meta-sourced visitors actually do on the landing page, session replay and rage-click signals, feeding the offer-and-creative iteration this page's process runs on. It is a behavior-diagnostic layer, separate from the attribution tools reading revenue outcomes.

Measurement and attribution

  • Google AnalyticsThe account audit and growth plan this page opens with checks GA4's on-site behavior data against what Meta's own reporting shows, since the two rarely agree exactly and the gap itself is diagnostic. This independent read is what the CAPI setup covered later gets validated against.
  • Triple WhaleReporting and strategic reviews, this page's fourth process step, checks Meta's own reported results against Triple Whale's revenue-reconciled view, closing the iOS-attribution gap the FAQ names: platform-reported numbers are cross-checked against actual sales rather than trusted alone.
  • NorthbeamTriple Whale's reconciliation is Meta-specific; Northbeam widens the same question to every channel the account runs at once, tying awareness through conversion together so Meta's real contribution to a sale gets read against the full customer journey instead of in isolation.
  • HyrosFor accounts where the iOS privacy gap this page's own FAQ names is severe enough to need a third opinion, Hyros' AI tracking is built specifically around that exact problem rather than general multi-touch attribution. It's an option alongside Triple Whale and Northbeam, not a required addition on every account.
  • Google Tag ManagerCAPI and Attribution Setup gets its tag-firing verification through GTM's preview and debug mode, checking the Meta pixel and server-side events before a campaign scales spend. This is what keeps Triple Whale, Northbeam, and Hyros all reading from real, correctly-firing data rather than a silent tracking gap.
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