Paid search gets expensive when query decisions, account structure and conversion signals drift apart. We manage those controls across Google and Microsoft.

Some of the 500+ brands we've worked with

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  • PayTR
  • Cimri
  • Yemeksepeti
  • Lay's
  • Jumbo
  • Sportive
  • Karel
Google Ads and Microsoft Advertising work from the same definition of value. We still check and approve each engine on its own terms.

Paid media

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Cross-EnginePaid Search

Google Ads and Microsoft Advertising share commercial goals. Their controls and reported outcomes are reviewed separately.

Google and Microsoft can share one definition of value while their imports, bidding options and reported attribution diverge. That gap is what this method works through.

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Search BudgetAllocation & Forecasting

Budget models use query demand, auction conditions, business constraints and scenario ranges to guide pacing inside paid search.

Query demand and auction conditions are already visible in the account. Turning them into a conservative, base and upside range a budget owner can approve happens here.

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Account & CampaignArchitecture

As an account grows, its structure needs clear naming, access and objectives across accounts, campaigns and ad groups.

A search account that grew launch by launch earns this one first, once ad-group themes mix, two campaigns chase one intent, or nobody owns the naming rule.

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Query & KeywordGovernance

Search-query reviews connect intent to keywords, match types and negatives so campaigns stop competing against each other.

Once the structure is settled, search terms are the next decision. This method assigns one owner per query cluster and puts every negative on a named tier.

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Bid StrategyAutomation Guardrails

We choose the bidding approach and set its constraints. Learning, overrides and the rollback path stay visible throughout.

Choosing the bidding approach is one call. Its data floor, target bounds and rollback conditions get settled here.

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Search Ad & AssetTesting

Each ad or asset test starts with a stated hypothesis, policy and brand checks, and enough evidence for a responsible reading of the result.

Ad copy questions land here. The ad group needs enough traffic for two responsive search ads, plus a reviewer who clears claims before either variant serves.

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Search ExperimentDesign & Analysis

A search experiment begins with a defined intervention, traffic split, guardrails and duration. Results are read against the decision rule agreed in advance.

A structural change to a live campaign gets tested as a draft first, splitting traffic against the original for a full window nobody reads early.

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Shopping & Performance MaxFeed Management

Shopping and Performance Max depend on feed quality. We diagnose feed issues and document where automation limits visibility.

Shopping and Performance Max lose delivery for reasons the campaign layer cannot show, so the feed gets audited against Google's product data specification first.

Where this work is owned

Queries, auction exposure, account structure, destinations and conversion signals sit within Paid Search. Landing-page experimentation stays with CRO, while channel-neutral media strategy has its own owner.

First we agree what counts as value and where the constraints sit. Engine evidence then shapes the controls we build, and every material launch or budget change keeps an approval trail.

We agree what counts as value and where the cost boundaries sit before touching the account.

The primary value event comes first, alongside approved proxies, cost boundaries, sales or stock constraints, account access, and each decision owner; then search terms and change history show how the account got where it is across structure, bids, budgets, destinations, conversions, and policy status in every engine. Zeo builds behind an approval gate, validating settings and destinations while paused, and a human authorizes activation within the documented exposure limits. Landing-page experimentation stays with CRO and channel-neutral media strategy has its own owner. Query quality, spend pace, conversion integrity, and remaining uncertainty decide together whether work is promoted, contained, or stopped.

Commercial priorities become engine-specific controls, reviewed before and after activation.
  1. Agree what value means

    The primary value event comes first. We also record approved proxies, cost boundaries, sales or stock constraints, account access and each decision owner.
  2. Read the account as it stands

    Search terms and change history show how the account got here. We inspect structure, bids, budgets, destinations, conversions and policy status in each engine.
  3. Build behind an approval gate

    Paused builds give us room to validate settings and destinations. A human approves the work before activation, within the documented exposure limits.
  4. Let query quality guide the next move

    Query quality and spend pace sit beside conversion integrity, downstream outcomes and uncertainty. That review determines whether work is promoted, contained or stopped.

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

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

  • OptmyzrOnce the account is built behind the approval gate this page's own third process step names, Optmyzr's rule engine enforces the agreed structure on an ongoing basis across both Google and Microsoft, catching drift before the next scheduled review rather than waiting for one.
  • AdalysisQuery and keyword governance, the fourth workstream on this page, runs on Adalysis's n-gram mining and duplicate search-terms detection, surfacing both a repeating word pattern worth a decision and two ad groups quietly competing for the same query. This is the governance tool itself, distinct from Optmyzr's structural rule engine above.
  • SkaiFor accounts where cross-engine coverage this page's own hero names, across Google and Microsoft, needs one shared operating view rather than two separate platform logins, Skai brings both engines into one independent platform. It is an alternative or complement to Optmyzr for the account-management layer, chosen for its cross-engine-first design.
  • Ryze AIFor a client wanting a lighter-touch, more automated management style, Ryze AI's autopilot approach covers Google Ads campaign management alongside the account's other channels, an alternative operating model to Optmyzr's or Skai's rule-engine approach rather than a required addition on every account.

Keyword and competitor intelligence

  • SemrushBefore a governance rule decides a term is waste or signal, it helps to know what competitors are actually bidding on the same query, and Semrush's pull on competitor ad copy and estimated spend supplies that background context rather than making the governance call itself.
  • SpyFuWhere Semrush's pull informs the initial value-definition step, SpyFu's daily tracking supports the query-quality-guides-the-next-move step this page's process closes on, catching a competitor's new keyword push as it happens.
  • SimilarwebWhen reading the account as it stands, Similarweb's full channel-mix estimate for named competitors clarifies whether a competitor's apparent paid-search strength is actually paid, or whether they're winning the same demand through organic or direct instead, which changes what 'value' means for this account's own campaigns.
  • Keywords EverywhereDuring the build-behind-an-approval-gate step, Keywords Everywhere overlays volume and CPC data directly onto both Google and Microsoft's own keyword-planning screens, keeping that check inside the native workflow rather than a separate research tab.

Measurement and attribution

  • Google AnalyticsReading the account as it stands, this page's own second process step, starts in GA4, where conversion signal from both Google and Microsoft traffic lands in one property rather than two separate platform dashboards. That shared read is what keeps the value-definition step honest across engines before any campaign work begins.
  • Google Tag ManagerBefore the build gets activated past the approval gate, GTM's preview and debug pass confirms conversion tags fire correctly regardless of which engine sent the click, which is what keeps the traceability this page's hero promises intact from day one.

Call tracking and click-fraud protection

  • ClickCeaseBecause this page's own scope spans Google and Microsoft together, ClickCease's stated coverage of exactly those two platforms plus Meta means one fraud-blocking tool serves the whole cross-engine account rather than needing a per-engine solution.
  • TrafficGuardTrafficGuard runs as a second verification layer alongside ClickCease, with a Google Search-specific product named directly on its own site, giving this page's fraud protection two independently-built checks rather than a single point of failure on click-quality data feeding the budget-and-bid decisions upstream.

Shopping feeds and Amazon ads

  • FeedonomicsShopping and Performance Max Feed Management calls for feed work at two levels: Feedonomics handles a full catalog transformation when the underlying data itself needs restructuring, upstream of the day-to-day attribute checks DataFeedWatch covers below.
  • DataFeedWatchWhere Feedonomics handles structural feed rebuilds, DataFeedWatch runs the narrower, ongoing attribute-by-attribute audit against Google's data specification, catching disapproval-causing errors before they surface as a live Shopping or Performance Max problem.

Reporting and dashboards

  • Looker StudioThe traceability this page's hero promises, from query to budget, shows up for the client in Looker Studio, fed by Supermetrics' pull for the cross-engine data Google's own native connector doesn't cover on its own.
  • SupermetricsThe cross-engine reporting Looker Studio presents runs on data Supermetrics pulls automatically from both Google and Microsoft Advertising, keeping the refresh cadence consistent across the two platforms rather than depending on separate manual exports.
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