Meta and other approved social platforms can share a commercial goal, while each auction keeps its own controls. We coordinate the portfolio and keep live budget decisions with an authorized human.

Some of the 500+ brands we've worked with

See all references
  • Lexus
  • Atasun Optik
  • Albaraka Türk
  • Grandvision
  • Koleksiyon Mobilya
  • Axa Hayat Emeklilik
The portfolio holds the shared goals and review language. Execution follows the controls available on each approved social platform.

Paid media

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Paid SocialPortfolio Management

A single reviewed portfolio connects platform roles, audiences, creative tests, spend exposure and downstream-quality feedback.

Adding a second platform is where the portfolio question starts. Each channel gets one journey job, its own budget contract, and creative rebuilt for its placements.

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CreativeLearning System

The next live change has a named approver. Hypotheses, variants, fatigue signals and evidence thresholds support that decision.

If creative decisions restart without a shared hypothesis record, use the testing system to isolate cells, evidence thresholds, and the next brief.

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Full-FunnelCampaign Architecture

Each funnel stage gets a defined objective, the right optimization signal and clear audience handoffs and exclusions.

Funnel stages need more than names. Pick this one to give each stage an optimization signal, a suppression rule, and a handoff volume someone actually checks.

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Audience & ExclusionArchitecture

Permitted audiences come first. The setup then records suppression, overlap, recency and consent rules.

Suppression, overlap, recency and consent rules hold up only once they are written down. The register gets built here, with an expiry date on every segment.

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Creative TestingSystem

Creative hypotheses become defined test cells with minimum evidence and fatigue rules that feed the next brief.

Portfolio-level creative learning narrows to one platform here, where a cell changes a single variable against a pre-agreed sample.

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Lead QualityFeedback Loop

Downstream lead and sales outcomes feed into campaign reviews. Attribution stays within what the data supports.

Downstream lead and sales status is what this method carries back to campaign, audience and creative, naming how many leads could not be traced at all.

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Catalog & DynamicProduct Ads

Catalog health, audience targeting, creative and ecommerce signals are coordinated behind each dynamic product ad campaign.

Dynamic product ads fail quietly. A stale price keeps serving, a recent buyer keeps seeing the item they bought, so feed health and exclusions get checked first.

Where this work is owned

Paid Social handles social-platform delivery, audience controls and creative learning. Paid Search owns search auctions, CRO owns landing-page experimentation, and channel-neutral media planning remains a separate decision.

Each approved platform has a defined job. Before launch, we check access, policy, tracking, audiences and spend exposure. Later changes keep the evidence and uncertainty attached to the human owner who approves them.

Each approved platform gets a defined job in the portfolio before any spend is exposed.

We record the valuable outcomes, exclusions, data permissions, and creative capacity around each platform role, agree the budget exposure and approval owners at the same point, then read current messages, placements, audience overlap, conversion signals, downstream quality, and fatigue risk as the baseline. Zeo keeps campaigns in a controlled state until permissions and destinations are verified, and an authorized human approves launch and any material spend change. Search auctions stay with Paid Search, landing-page experimentation with CRO, and channel-neutral media planning is a separate decision; reallocation stays inside Paid Social and returns to its named owner.

Shared goals set the frame. Platform evidence informs what can change inside Paid Social.
  1. Set the role of each platform

    We record valuable outcomes, exclusions, data permissions and creative capacity around each platform role. Budget exposure and approval owners are agreed at the same point.
  2. Look for what the portfolio already knows

    Current messages and placements reveal part of the picture. Audience overlap, conversion signals, downstream-quality data, fatigue risk and unresolved assumptions complete the baseline.
  3. Approval before exposure

    Campaigns stay in a controlled state while we verify permissions and destinations. An authorized human approves launch and any material spend change.
  4. A review that follows the evidence

    Delivery and creative learning are read alongside audience overlap, quality feedback and measurement limits. Any reallocation stays within Paid Social and returns to the named owner.

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.ioWhere the portfolio's role is set for each platform, this page's first process step, Smartly.io's cross-channel build workflow is what lets a coordinated campaign get built once and adapted per platform rather than assembled separately in each platform's own ads manager.
  • MadgicxLooking for what the portfolio already knows, this page's own second process step, is what Madgicx's hidden-insight analysis is built for, running as an analysis layer on top of Smartly.io's build workflow rather than a competing platform.
  • BïrchApproval before exposure, this page's third process step, is enforceable at scale through the tool the registry still lists under its prior name, Revealbot, trading as Bïrch (bir.ch) since 2026: automated rules that only execute a live change once it clears the defined approval condition, across every connected platform in the portfolio.

Ad creative and landing pages

  • AdCreative.aiCreative that has to work across more than one social platform's format and audience gets its variants drafted in AdCreative.ai, whose conversion-focused generation is built to feed a testing cycle across accounts rather than a single-platform campaign.
  • JasperWhere a coordinated portfolio needs consistent messaging across platforms, Jasper's brand-governed content generation is what keeps copy on-voice across every channel rather than drifting the way separately-briefed per-platform copy would.
  • Copy.aiCopy.ai drafts ad-copy variants at the volume a multi-platform testing cycle needs, feeding into the predictive scoring Anyword performs next; the two split the same copy pipeline that Jasper's brand-consistency layer sits above.
  • AnywordAnyword's demand-gen scoring is the checkpoint between Copy.ai's drafted variants and an actual dollar of spend: it ranks which drafts are worth testing rather than shipping every one blind, which is exactly the evidence the review-that-follows-the-evidence step, this page's fourth, needs before deciding a platform earns more budget.

CRO and experimentation

  • ContentsquareA platform's own dashboard stops at the click; what the visitor did next is a Hotjar question, its Recordings and rage-click detection now folded into Contentsquare after 2026's merger. That post-click behavior is what the evidence-based review this page closes on checks, rather than accepting a platform-reported win at face value.

Measurement and attribution

  • Google AnalyticsA portfolio spanning several platforms invites the trap this page's own FAQ names directly: shifting budget toward whichever one happens to self-report the best number. GA4's on-site behavior data sits outside any single platform's own reporting, which is what gives that comparison a neutral referee instead of letting each platform grade its own homework.
  • Triple WhaleThis page's FAQ warns against moving budget to whichever platform simply reports the lowest CPA, and Triple Whale's revenue reconciliation is the mechanism that check runs on: each platform's self-reported number gets matched against actual store revenue before the review-that-follows-the-evidence step accepts it.
  • NorthbeamWhere Triple Whale reconciles a given platform's numbers individually, Northbeam's multi-touch view puts every channel in the portfolio side by side in one attribution model, which is the cross-channel standard this page's own FAQ answer about not trusting one platform's self-reported win rests on.
  • HyrosSome portfolios lean harder into iOS-affected inventory than others, and for those, Hyros' AI tracking is purpose-built around that specific gap rather than general cross-channel measurement. It sits as a further option alongside Triple Whale's revenue reconciliation and Northbeam's multi-touch view, not a tool every portfolio needs by default.

Shopping feeds and Amazon ads

  • ChannableWhere the portfolio includes a catalog-driven ad format, dynamic product ads on a given social platform, Channable's self-driven feed rules reshape the source catalog to match that platform's specific requirements before it powers a live ad.

Reporting and dashboards

  • AgencyAnalyticsThe portfolio-wide report a client actually sees gets built in AgencyAnalytics, whose prebuilt templates across 85+ data sources cover the multi-platform blend this page's own coordination framing needs without a custom Looker Studio build for every account.
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