Performance Marketing
Paid Search & PPC Management

Some of the 500+ brands we've worked with
See all referencesInside paid search
Shared commercial rules, separate engine decisions
Paid media


Cross-EnginePaid Search
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.


Search BudgetAllocation & Forecasting
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.


Account & CampaignArchitecture
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.


Query & KeywordGovernance
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.


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


Search Ad & AssetTesting
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.


Search ExperimentDesign & Analysis
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.


Shopping & Performance MaxFeed Management
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


Google AdsPlatform Entry
Cross-engine work stops at the point where Google's own campaign types, conversion inputs and policy boundaries decide the answer. That is where this page takes over.


MeasurementHandoff
Two engines rarely report the same totals, and naming which source governs a budget move is a measurement decision. Analytics builds that credit model and states its limits.
The buyer job
Paid search owns the query and auction decisions
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.
How we work
Decisions stay traceable from query to budget
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.
Scope and ownership
Decisions stay traceable from the query to the budget that funded it
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.
How search decisions move into the account
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.
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.
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.
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.
What our clients
Say about the work
These clients describe the planning, measurement, and communication they experienced while working with Zeo.
Paid search work
Case Studies
Search accounts rebuilt around revenue and lead quality rather than click volume.
People who own a single channel
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.

Zafer Yıldız
Web Analytics Manager

Yiğit Konur
Founder & Chief Strategy Officer

Abdullah Tanıdır
Performance Marketing Team Lead

Sevda Yurtvermez
Performance Marketing Team Lead

İlker Emir
Senior Performance Marketing Executive

İpek Ezer
Performance Marketing Executive

Onur Durdağı
Performance Marketing Executive
Tools we use
The paid media stack behind the work
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.
Next step
Scale your paid media with measurable efficiency


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