Integrating Third-Party Ad Tech with GAM: Plugins, SSPs, DSPs & APIs

Integrating Third-Party Ad Tech with GAM: Plugins, SSPs, DSPs & APIs

Google Ad Manager (GAM) often serves as the central hub in many publishers’ ad stacks. It acts both as an ad server and (in one guise) as a supply-side platform (SSP) via its connection to Google Ad Exchange (AdX). When you integrate external ad tech—plugins, third-party SSPs, DSPs, custom APIs—you bring more demand, flexibility, and control. But you also introduce complexity. In this article, I will walk you through how to integrate third-party ad tech into GAM, covering each category (plugins, SSPs, DSPs, APIs). I’ll also highlight pitfalls, best practices, and what to watch out for.

I aim to keep sentences relatively short (under ~20 words) and use an active, human tone. Let’s begin.

Overview: Why integrate external ad tech into GAM?

Before diving into mechanics, let’s frame why you might integrate third-party ad tech into GAM:

  1. Increase competition and yield. By opening your inventory to more demand sources (SSPs, DSPs outside Google), you can push eCPMs higher.
  2. Diversify risk. You reduce dependence on any single demand source (e.g. Google). If one fails or reduces bids, others can fill.
  3. Enable custom demand relationships. Some advertisers or agencies want to connect via their own DSP or SSP, or via direct/private deals.
  4. Access advanced features. External platforms might offer better data targeting, real-time bidding, identity resolution, or analytics.
  5. Control and flexibility. You can decide priority, floor pricing, pacing, backfill logic, etc.

However, with these benefits come challenges: latency, discrepancies, troubleshooting complexity, and rule conflicts. Throughout this article, I’ll mention those trade-offs.

Integration via Plugins (Prebid, wrapper plugins, tag managers)

One of the more developer-friendly and modular ways to integrate third-party demand is via “plugins” or wrapper tools.

What is a plugin / wrapper in ad tech?

A plugin or wrapper generally means:

  • A JavaScript (or header script) layer on your page or app.
  • That layer orchestrates calls to multiple demand sources (SSPs, DSPs), collects their bids, and then forwards winning bids (or fallback) to GAM.
  • A wrapper handles coordination (timeouts, sorting, cache, dedup) and simplifies adding/removing partners.

A well-known example is Prebid.js (for web). Publishers inject Prebid, which gathers bids from configured bidders, then calls GAM’s ad slot after that auction.

Why use a plugin/wrapper with GAM?

  • You can decouple demand logic from GAM’s internal logic.
  • You can manage timeouts, synchronization, and bid coordination.
  • You can easily enable or disable a partner without changing GAM line items.
  • You can perform header bidding (client-side or server-side) and use GAM as a “last-look” receiver of the winning bid.

How to integrate a plugin with GAM—step by step

Here is a typical flow:

  1. Select your wrapper
    Say you use Prebid.js (for web) or Prebid Server (for server-side).
  2. List bidders / demand partners
    You configure which SSPs or DSPs (via adapters) you want to invite bids from. You include partner-specific parameters (endpoint URL, seat IDs, key values).
  3. Define timeouts
    You define how long your wrapper waits for bids (e.g. 150ms, 200ms). After that, you terminate the auction and pass the best bid to GAM (or fallback).
  4. Auction and adjudicate
    Your wrapper picks the highest valid bid, applies any reserve floors, etc.
  5. Pass bid to GAM
    You pass the winning bid’s price (and perhaps creative) to GAM via bidder passback. Often, GAM will have a “key-value” on the ad request (for example, hb_pb = 4.50) and map that to a line item in GAM. Or use dynamic allocation (GAM’s header bidding feature).
  6. GAM serves final creative
    GAM executes its own decisioning (e.g. direct campaigns, fallback, AdX) and then serves the final creative.
  7. Reporting & reconciliation
    You compare wrapper side logs / reporting with GAM logs to identify discrepancies, latency issues, or missing bids.

Pros & cons of using plugins/wrappers

Advantages:

  • Flexible. You can add or remove demand sources easily.
  • Transparent. You see bid-level data and can optimize partners.
  • Layered. The wrapper can manage timing, duplicate filtering, etc.
  • Safer. You don’t need to directly touch every line item or custom rule inside GAM.

Drawbacks / challenges:

  • Latency overhead: extra time to gather bids. If wrapper time is long, it delays ad delivery and hurts viewability.
  • Discrepancies: bids accepted by wrapper might not match what GAM records (due to timeouts, filtering, or race conditions).
  • Complex setup: mapping wrapper outputs to GAM line items or flows requires careful configuration.
  • Browser resource usage: many bidders in a wrapper can bloat page size or JS execution time.

Tips and best practices for plugin integration

  • Start with a small number of bidders; gradually scale.
  • Use efficient bidder adapters and filter low-quality sources.
  • Monitor latency closely; aim for sub-200ms end-to-end wrapper + GAM.
  • Use timeouts that balance yield vs speed.
  • Synchronize key-values exactly between wrapper and GAM line items.
  • Use consistent naming conventions and version control.
  • Always log raw bid data for debugging and reconciliation.
  • Test in staging environments before full deployment.

Integrating Supply-Side Platforms (SSPs) with GAM

SSPs are platforms publishers use to manage and optimize inventory sales to multiple demand sources (DSPs, ad exchanges). When integrating a third-party SSP with GAM, you can access external demand pools beyond Google’s ecosystem.

How SSPs relate to GAM

GAM already acts somewhat like an SSP because it connects your inventory to Google’s demand (via AdX). But many publishers prefer to layer additional, external SSPs (often via header bidding or direct server-to-server links) to increase competition. Those external SSPs bring more DSP demand to your inventory.

An SSP typically can connect to GAM in one of these ways:

  1. Client-side / header bidding adapter — The SSP bidder is part of wrapper/plugins, which forwards winners to GAM.
  2. Server-to-server (S2S) integration — The SSP forms a back-end auction and sends winning bid to GAM via secure call.
  3. Direct deal or private marketplace (PMP) link — The SSP negotiates a deal outside GAM and then delivers via passback or API integration.
  4. Third-party ad server insertion — The SSP may deliver creatives via VAST/VPAID tags, etc., placed via GAM line items or creative tags.

Technical steps to integrate SSPs with GAM

  1. Negotiate access / seat
    Ensure the SSP offers you a seat or partner ID and understand their required parameters (endpoint, currency, bid format, creatives supported).
  2. Agree protocol
    Usually OpenRTB (via server-to-server) or custom JSON/HTTP. Understand any custom fields or extensions the SSP uses.
  3. Define deal rules / floors
    Determine minimum acceptable bid (floor), targeting limits, creative size constraints, and brand safety filters.
  4. Set up passback or forwarding
    The SSP must pass bids to GAM in a form GAM recognizes. Often via key-values or dynamic allocation (GAM’s bid response interface).
  5. Map targeting / keys
    The SSP may offer targeting dimensions (e.g. audience, segments). You map those into GAM key-values (e.g. ssp_audience = X).
  6. Implement creatives
    Decide whether creatives will be served by GAM or by the SSP (creative tags). If SSP hosts creatives, GAM may simply call external VAST tags.
  7. Latency and timeout
    Define how long SSP has to respond, and what happens if it fails to respond.
  8. Test and validate
    Use staging or test network to simulate volume. Validate bid flows, ensure that GAM picks winners properly. Check logs, debug mismatches.
  9. Monitor ongoing performance
    Track fill rates, bid density, revenue attribution, and any lost bids due to timeouts or errors.

Example / case

A case study of Setupad shows how a publisher added multiple SSPs via header bidding into GAM, including 5 direct SSPs and 15 existing bidders. That increased bid competition and improved overall revenue.

In that example, one SSP (Adform SSP) even became the highest bidder consistently, which pushed other bidders to raise their bids. That demonstrates how adding SSPs can boost the entire bidding ecosystem.

Challenges when integrating SSPs

  • SSPs may have varying bid latency or reliability.
  • Creative mismatches (formats, sizes) may lead to lost bids.
  • Reconciling metrics across GAM and SSP is nontrivial.
  • Managing versioning (API changes) requires upkeep.
  • Conflict of priority with existing direct campaigns in GAM.
  • Bandwidth and volume constraints (too many SSPs can overload).

Integrating Demand-Side Platforms (DSPs) with GAM

DSPs are the buyers’ side — they bid on inventory exposed through exchanges or SSPs. In the context of a publisher using GAM, “integrating a DSP” means allowing that DSP to bid on your inventory (via SSPs or direct deals) or accepting their bids through GAM-managed deals.

Modes in which DSPs connect with your GAM-controlled inventory

  • Indirect via SSP / exchange: The DSP bids via one or more SSPs that you have already integrated.
  • Programmatic Guaranteed (PG) / direct programmatic deals: You negotiate a guaranteed contract with a DSP and route those bids directly into GAM. Google supports DSPs as partners for Programmatic Guaranteed.
  • Preferred / private marketplace deals: You allow a DSP to access specific inventory or audience segments via a PMP that you configure in GAM.
  • API-level creative upload or direct insertion: In some rare cases, a DSP might upload creatives or deliver tags for use in GAM.

Key steps in enabling DSP demand via GAM

  1. Select which DSPs to enable
    Evaluate DSPs on reach, performance, targeting, reliability, and compliance.
  2. Ensure the DSP meets Google’s requirements
    For Programmatic Guaranteed, Google vets DSPs to ensure they can deliver reliably.
  3. Configure deals / contracts in GAM
    For direct programmatic deals, you set up proposals or agreements in GAM so that DSPs have access to inventory.
  4. Match targeting and floors
    Specify targeting (geography, ad sizes, segments) and minimum CPM floors.
  5. Set open auction participation / fallback logic
    Decide whether DSPs also compete with open demand or keep them exclusive.
  6. Implement creative delivery
    DSP may deliver the creative via a VAST or via GAM’s creative system.
  7. Monitor delivery and pacing
    Because DSPs might underdeliver, you need to monitor and ensure their campaigns meet expectations (SLA compliance).

DSP integration challenges

  • If DSP fails the SLA, you may have unfilled inventory.
  • Discrepancies in reporting or attribution.
  • Conflict with other bids or line items in GAM.
  • Complexity in forecasting and allocation across multiple DSPs.
  • Creative quality or format mismatch.

Example: DSP integration in GAM

Google’s documentation on DSPs for Programmatic Guaranteed shows how Google reviews DSPs before partnering, and how the publisher configures those DSPs for PG deals. That ensures guaranteed delivery and predictability.

In practice, a DSP might bid through one of your integrated SSPs (which in turn forwards to GAM). Or, in direct programmatic deals, the DSP will get inventory access in GAM’s interface and bid directly under the contract terms.

Direct APIs & Third-Party Integrations with GAM

Plugins, SSPs, and DSPs mostly function through standardized protocols (OpenRTB, JSON, HTTP). But sometimes you need deeper, custom, or proprietary integration via APIs. GAM provides an API (originally SOAP, now with a REST/API beta) for third-party services to interact with its inventory and configuration.

What kind of integrations people build via API?

  • Third-party ad tech platforms (e.g. analytics, yield management tools) that connect with GAM to fetch reports, automate rule changes, adjust floors, or target segments.
  • Creative platforms / ad builders that automatically push creatives into GAM.
  • Optimization engines that dynamically adjust line items or priorities based on performance.
  • Custom mediation layers that speak to other demand sources and coordinate with GAM via API.
  • Permissioned third-party services that can act “as a third party” accessing a client’s GAM account for services (for example, yield management services). Google’s “Third-Party Integration” guide covers how external parties access GAM APIs securely.

How to integrate via GAM APIs

  1. Get access and credentials
    Use Google’s developer access model. A third party must authenticate (service account or OAuth) and must be granted proper access by the GAM client.
  2. Select which API endpoints you need
    For example, you may call the CreativeService, OrderService, ReportService, etc.
  3. Design workflows
    • E.g. a yield optimization engine may pull performance data daily and adjust floor prices or priorities via API calls.
    • A creative builder might upload creatives end-to-end into GAM without manual UI steps.
  4. Error handling, versioning, and deprecation management
    Google evolves its API; your integration must gracefully handle deprecated fields, new versions, and fallback logic.
  5. Testing in sandbox or test network
    Google supports test networks for third-party developers to validate before pushing to production.
  6. Security, permissions, and audit
    Use least privilege access, log API use, and secure credentials.

Use cases & benefits

  • You can automate many monotonous tasks (floors, targeting changes) at scale.
  • You can build custom dashboards or cross-account aggregation.
  • You can insert logic (e.g. floor adjustments based on yield, predictive pricing) that may not be possible directly in GAM.
  • You can streamline creative operations for high-volume workflows.

Risks & caveats

  • API changes can break your workflows. You must maintain your integration.
  • Rate limits or quotas may hamper bulk operations.
  • Conflicting changes (human UI vs API) can lead to inconsistency.
  • Misuse of API could corrupt inventory settings.

Putting It Together: An Integrated Stack Architecture

Understanding how plugins, SSPs, DSPs, and APIs interplay is vital to designing a full ad stack. Here’s how you might architect an integrated system with GAM at the center.

Sample architecture

  1. Page-level wrapper (Prebid or custom)
    Runs a client-side auction among multiple SSPs / bidders.
  2. Server-side wrapper / mediation
    To reduce browser load or include sources not supported client-side.
  3. SSPs (client- or server-side)
    These connect to many DSPs (via OpenRTB). They forward winning bids to the wrapper or directly to GAM.
  4. GAM (ad server + marketplace)
    Receives the winning bid (via passback or key-values), evaluates direct deals, and finally chooses what creative to serve.
  5. DSPs
    DSPs bid via SSPs or via direct programmatic deals through GAM.
  6. API-driven optimization / yield tool
    A third-party service or internal system calls GAM API to adjust floors, targeting, or analyze performance.
  7. Reporting / reconciliation layer
    Collect logs from wrapper, SSP, and GAM. Use them to reconcile, monitor discrepancies, and tune.

Flow example (user visits page)

  • Browser loads wrapper JS.
  • Wrapper sends bid requests to multiple SSPs / demand adapters.
  • SSPs return bids within the timeout.
  • Wrapper picks a top bid, passes its price and metadata to GAM via key-values.
  • GAM’s decisioning layer evaluates direct campaigns, AdX, fallback.
  • GAM issues final creative (could be tag from winning SSP).
  • After serving, all systems log the transaction.
  • Later, optimization engine analyzes logs and via API changes floor values or priorities.

Key principles for this architecture to work well

  • Single point of truth: ensure all demand and pricing logic funnels through a controlled pathway (the wrapper, GAM). Avoid bypasses that confuse metrics.
  • Latency control: total chain must deliver creative within acceptable latency (say <300 ms).
  • Consistent targeting: ensure the wrapper, SSPs, and GAM share the same targeting definitions.
  • Versioning discipline: you must manage versions of the wrapper, bidder adapters, API integration.
  • Fallback safety: if wrapper or SSP fails, have fallback campaigns in GAM to fill inventory.
  • Logging & monitoring: every bid, winner, and passback must be logged for reconciliation.
  • Graceful degradation: if a partner fails, the system should still function (perhaps with lesser yield).

Best Practices & Tips in Real-World Integration

Now that you’ve seen the component pieces, here are some concrete best practices from the trenches:

  • Start simple: integrate one plugin/SSP first, validate, then scale.
  • Use a staging or test GAM network before touching production.
  • Match naming conventions across systems (e.g. hb_bidder_name, hb_adid, hb_pb) to avoid mapping errors.
  • Keep timeouts short but forgiving (e.g. 150–200ms), and test various thresholds.
  • Monitor bid traffic and drop low-performing bidders.
  • Use logs to reconcile differences between wrapper concept and GAM deliveries.
  • Alert on mismatch thresholds (e.g. if >10 % of wrapper winners didn’t deliver).
  • Use non-blocking scripts and lazy loading to reduce initial page impact.
  • Segment your inventory (by size, ad type, geography) and manage floor pricing per segment.
  • Keep an eye on API deprecations and maintain your integrations actively.
  • Backup critical configurations and maintain rollback capability.
  • Use rate limiting or throttling in your optimization APIs.
  • Embrace iterative tuning: each demand partner should be audited periodically.

Challenges & Pitfalls (and How to Mitigate)

Here are some common obstacles you may face, along with mitigation strategies:

ChallengeCause / SymptomsMitigation
High latency or timeoutsToo many bidders, slow respondersLimit bidder count, enforce timeout thresholds, gradually add partners
Discrepancies in metricsWinner passed but not served; filteringReconcile logs across wrapper / SSP / GAM, add instrumentation
Creative size / format mismatchBid returns incompatible ad creativeEnforce strict ad size validation early; reject bids not matching your slots
Conflicting line items in GAMDuplicate or higher-priority items override wrapper logicAudit and rationalize line item priorities; de-duplicate
API version changes break flowsUsing deprecated API endpointsMonitor Google’s developer updates; build version fallback logic
Performance overhead on clientLarge JS, many bidder callsMove demand to server-side wrapper; lazy load less important slots
Under-delivery from DSPs / SSPsDSP fails to meet agreementMonitor delivery, reallocate if underperforming, enforce SLAs
Ad fraud / low-quality demandBad or low-quality SSPs / biddersVet partners, use ads.txt / sellers.json, apply filtering and block lists
Conflict in targeting or audience mappingDifferent systems interpret segments differentlyMaintain a unified mapping layer and keep definitions in sync

Future Trends & Things to Watch

As you integrate more third-party ad tech, you should stay aware of these evolving trends:

  • Server-side header bidding / OpenWrap: More of the auction logic moves off-browser to reduce latency.
  • Unified auction protocols: Google’s “Open Bidding” or “Exchange Bidding” are protocols to unify external bidders inside GAM.
  • Identity & privacy changes: The deprecation of third-party cookies means many ad tech integrations will rely on first-party identity and new signals.
  • Machine learning floor optimization: More systems will dynamically set floors or participation logic using ML.
  • Real-time adjustments via API: Automating targeting, pacing, and priority changes in real time using APIs.
  • Cross-platform orchestration: Integrating web, app, CTV demand flows via unified systems.
  • Transparency & auditability: More demand for transparent logs, audit trails, and reconciliation.

How Monetiscope Can Help with This

Integrating third-party ad tech with Google Ad Manager (GAM) can feel overwhelming—especially when you’re juggling multiple SSPs, DSPs, plugins, and APIs. That’s where Monetiscope comes in.

Monetiscope simplifies the entire monetization ecosystem for publishers across web, app, and CTV platforms. It’s designed to maximize your revenue while keeping your ad stack clean, fast, and policy-compliant.

Here’s how Monetiscope can help you integrate and scale seamlessly:

1. Seamless Third-Party Integrations

Monetiscope handles complex integrations with top SSPs, DSPs, and demand partners—ensuring smooth communication with GAM. Whether you’re using Open Bidding, Header Bidding, or custom APIs, Monetiscope’s tech team configures everything to run efficiently.

2. Optimized Header Bidding Setup

With deep expertise in Prebid and Open Bidding, Monetiscope helps you set up, optimize, and maintain your bidding wrappers. You’ll get faster auctions, improved ad latency, and better viewability—all without code headaches.

3. Advanced Yield Optimization

Monetiscope doesn’t stop at integration. It continuously analyzes real-time data to adjust pricing rules, floor CPMs, and demand routing—helping you achieve up to 2X higher revenue from your existing traffic.

4. API Automation and Reporting

Monetiscope connects directly with GAM’s APIs to automate repetitive tasks like ad unit setup, deal creation, and report generation. This saves hours of manual work while maintaining complete transparency.

5. Access to Premium Demand

Through Monetiscope’s Google Ad Exchange (AdX) Managed Account, you can unlock premium global demand that competes directly with your existing partners—boosting competition and overall eCPMs.

6. Policy and Quality Assurance

Every integration is carefully monitored for compliance with Google policies. Monetiscope’s platform filters invalid traffic (IVT), ensures brand safety, and maintains a clean, compliant ad environment.

7. Dedicated Support and Insights

You don’t have to navigate integrations alone. Monetiscope provides 1:1 publisher support, in-depth revenue analysis, and actionable insights tailored to your monetization strategy.

FAQ (Frequently Asked Questions)

What is the difference between integrating an SSP vs integrating a DSP into GAM?

SSPs are on the supply side—they aggregate demand and bid on your inventory. When you integrate an SSP, you’re enabling external demand sources. DSPs are demand side—you let them bid (directly or via SSP). An SSP integration brings in many DSPs; DSP integration gives you specific buyer access (e.g. via PG or PMP).

Do I always need a wrapper / plugin to integrate third-party demand?

Not necessarily. You can do server-to-server integrations directly via GAM or external SSPs. But wrappers make it easier to manage multiple demand partners simultaneously, controlling synchronization, timeouts, and bid coordination.

How does latency affect integrations?

High latency means slower ad response and might lead to timeouts or lost bids. It disrupts user experience and degrades yield. So you must optimize bid flow timing (e.g. <200-300ms total). Always measure latency end-to-end and prune slow bidders.

Q4: What is the fallback if third-party demand fails to deliver a bid?

You should maintain fallback line items in GAM (e.g. direct campaigns, AdX, or backup bidders). That ensures your inventory does not go unfilled if wrapper or SSP fails to return a valid bid.

How do I reconcile differences between wrapper/SSP bids and GAM recorded delivery?

You maintain logs at each layer (wrapper, SSP, GAM). You compare winning bid IDs, key-values, timestamps, and delivery count. If discrepancies exceed a threshold (say 5–10 %), you investigate partner-specific issues or timeout drops.

What happens when a DSP fails to meet delivery in a Programmatic Guaranteed deal?

If the DSP fails its SLA, Google may exclude or re-evaluate its eligibility. You might also have to reassign that inventory or renegotiate terms. Monitor pacing and be ready to handle shortfalls.

How do API-based integrations benefit me compared to wrapper or SSP integrations?

API-based integrations let you automate workflows (floors, targeting, creative delivery), create custom dashboards, or build optimization logic. They allow deep, custom control beyond what UI allows. But you also bear integration maintenance.

How often should I review and prune low-performing demand partners?

You should review every few weeks or quarterly, depending on scale. Remove or scale down partners that consistently under-deliver, show high latency, or cause discrepancies.

Interactive Reports in GAM: How to Prepare Your Team for the 2026 Transition

Interactive Reports in GAM: How to Prepare Your Team for the 2026 Transition

In early 2026, Google Ad Manager (GAM) will fully retire its classic Reports tool from the web interface, and adopt Interactive Reports as the sole reporting interface.

This transition carries more than just a UI change. It demands that your team adapts workflows, rethinks reporting strategy, and masters new capabilities. In this article, I explain what Interactive Reports bring, why you should start preparing now, and step-by-step guidance to prepare your team for this transition.

What Are Interactive Reports & Why the Change?

What are Interactive Reports?

Interactive Reports is Google’s enhanced reporting solution built to replace the traditional Reports tool in GAM.

Key upgrades include:

  • Building and viewing reports on the same page without toggling between views.
  • AI-assisted report generation: you can prompt the system to suggest metrics/dimensions.
  • More powerful data exploration: filtering, pivoting, comparisons, hierarchical views, etc.
  • Inline scrolling of results instead of forced export for viewing.
  • Tools like flags, scheduling, sharing, and copy/export enhancements.

Why is Google doing this?

The shift aims to modernize the reporting experience, simplify workflows, and centralize enhancements in one tool. Also, Google is deprecating older report types, metrics, and dimensions to reduce complexity.

By 2026, users will no longer see the old Reports tool via the web UI. The depreciation timeline gives time for adaptation while allowing backward compatibility via certain APIs.

The Stakes: Why You Must Act Now

  1. Avoid disruption
    If your team relies heavily on saved or scheduled reports in the old system, not preparing will cause workflow breaks once the old tool is disabled.
  2. Recreate or migrate reports
    Google does not automatically migrate all existing saved/scheduled reports. You will need to re-build many of them in Interactive Reports.
  3. Learn new capabilities & limitations
    Some metrics/dimensions or report types in old reports may not map one-to-one. Understanding what’s available now vs. what’s deprecated is essential.
  4. Train your team & adjust roles
    Analysts, ad ops, and executives will need to interact differently with reports. That calls for training, new process design, and role clarity.
  5. Update technical integrations
    If you rely on programmatic or automated systems (via APIs) to fetch or generate reports, those flows may break or require updates. Interactive Reports has a new API (Beta) to replace parts of the old system. Google for Developers
  6. Feedback window & influencing features
    During the transition, Google continues to iterate and add metrics/dimensions. Your feedback can help shape what features make the cut.

Because of all the above, your team must treat this as a project, not just a small interface change.

Roadmap: Steps to Prepare Your Team

Here is a recommended roadmap you can follow (ideally starting at least 6–9 months ahead of full switch).

PhaseTimeframeActivitiesDeliverables / Outcomes
Exploration & FamiliarizationMonths 1–2Give access, let your team poke around, compare with old reportsTeams submit first draft reports in new tool, raise questions
Inventory & Gap AnalysisMonths 2–3Audit all current saved, scheduled, and custom reportsReport matrix mapping old → new, list of gaps & deprecated items
Rebuild Core ReportsMonths 3–5Prioritize high-value reports, recreate in Interactive ReportsCore reports live, validated output matches old system
Training & Process IntegrationMonths 5–7Conduct hands-on workshops, document proceduresTraining sign-offs, process manuals updated
Technical Updates & API MigrationMonths 6–8Adapt scripts, scheduled pulls, dashboards to new APIAPI flows migrated, data pipelines verified
Parallel Runs & ValidationMonths 8–10Run old and new reports side by side, reconcile resultsClean reconciliation logs, confidence in new system
Go-Live & CutoverEarly 2026Switch to Interactive Reports fully, retire old workflowsFull operations in new tool, decommission old reports
Post-Migration Monitoring & FeedbackOngoingMonitor data integrity, collect team feedback, iterateImprovement backlog, feature requests sent to Google

Now let’s dive deeper into each step with tips to ensure success.

1. Exploration & Familiarization

  • Assign a small “pilot team” of power users (analysts, ops) to experiment first.
  • Encourage them to generate simple reports in the new system and compare results to the old tool.
  • Organize internal “show & tell” sessions where these early users present their discoveries, shortcuts, pain points.
  • Keep a running list of “missing features” or mismatches they observe.

2. Inventory & Gap Analysis

  • Create a master list of all saved and scheduled reports in the old system (report name, frequency, recipients, metrics/dimensions used).
  • For each, try to reconstruct the same logic in Interactive Reports. Note if it’s possible, or if there’s a limitation (e.g. a deprecated metric).
  • Classify reports into tiers: critical, important, nice-to-have. Focus first on critical ones.
  • Also catalog custom scripts or dashboards fed by the old API flows.

3. Rebuild Core Reports

  • Start with the most business-critical reports (executive summary, revenue, performance by channel, etc.).
  • Use filtering, pivoting, hierarchical views to replicate or improve on old reports.
  • For metrics or dimensions that no longer exist, identify substitutes or compute them externally.
  • Validate output: run old vs. new reports over overlapping periods to ensure numbers match (or understand divergence).
  • Flag any logic that cannot be replicated yet, and escalate internally or to Google (via feedback channels).

4. Training & Process Integration

  • Develop role-based training modules: e.g. for analysts, ad ops, business leads.
  • Use hands-on labs where participants rebuild real reports.
  • Record step-by-step guides / screenshots.
  • Create a “reporting playbook” documenting how to build, modify, share, flag, schedule reports in the new system.
  • Update internal processes that referenced the old system (e.g. “every Monday someone sends X report”) to use the new system flow.

5. Technical Updates & API Migration

  • If your stack currently uses the SOAP API or older report APIs, map those to the new Interactive Reports API (currently in Beta) Google for Developers
  • Build new scripts that call networks.reports.run, poll for completion, fetch rows, etc. Google for Developers
  • Test the new API flows thoroughly, including error handling, missing data, rate limits, pagination.
  • Update downstream dashboards, BI tools, or data warehouses that ingest report output.
  • Ensure authentication and permission scopes are correct for the new API access.

6. Parallel Runs & Validation

  • For some weeks (or months), run both the old and new workflows side by side.
  • Reconcile output differences, document root causes (e.g. rounding, missing metrics, dimension mismatches).
  • Use this phase to capture corner-cases, edge behaviors, and unexpected anomalies.
  • Let your team raise issues and iterate.

7. Go-Live & Cutover

  • Choose a “cutover weekend” if needed, or a low-impact date to fully switch off old reports.
  • Communicate clearly across stakeholders: what will change, which reports will look different, who owns which new reports.
  • Have “on-call” support ready for debugging or urgent issues post cutover.
  • Monitor critical reports in the new system immediately to ensure data is flowing properly.

8. Post-Migration Monitoring & Feedback

  • Within the first few months, hold regular feedback sessions with your team.
  • Document new feature requests or missing metrics and submit to Google through the “Feedback” button in the tool.
  • Track data quality metrics (are there mismatches, gaps, latency issues?).
  • Iterate on report improvements now that your team is comfortable in the system.
  • Stay updated on new releases from Google: they continue to add dimensions, metrics, and features.

Best Practices & Tips for a Smooth Transition

Here are additional tips and pitfalls to watch out for:

  • Start early — the more buffer time you have, the less stress during cutover.
  • Use a champion network — identify a few internal “reporting champions” who become SMEs in Interactive Reports and can support others.
  • Document everything — from step-by-step tutorials to edge-case behaviors.
  • Prioritize impact over perfection — it’s okay if some low-use reports lag behind; ensure core ones are rock solid.
  • Communicate often — keep your wider team, leadership, and stakeholders in the loop about changes and timelines.
  • Set expectations — be upfront about known limitations (e.g. missing metrics) and when they might be resolved.
  • Use feedback wisely — track feature requests, vote internally on priority, and push to Google if many users request the same metric.
  • Build regression tests — once core reports are rebuilt, set up automated checks (or manual scripts) that detect large divergences.
  • Keep legacy API where needed — during the transition, some clients or scripts may still require the old SOAP API (which continues to support classic Reports in certain contexts)
  • Leverage internal champions — users who quickly adopt and champion the new tool can help onboard others.
  • Expect and accept minor discrepancies — due to rounding, filtering, or metric definitions differences. Track and document them.
  • Monitor deprecated metrics/dimensions lists — Google periodically sunsets low-usage fields; keep abreast of what’s being removed.

Potential Challenges & How to Mitigate Them

ChallengeMitigation Strategy
Some reports rely on metrics that are deprecatedFind alternative metrics or compute externally
Users resist change due to habitSchedule demos, training, and highlight benefits
API flows break or mis-alignRigorously test, version backups, rollback plans
Inconsistencies between old and new outputsReconcile early, document differences, handle exceptions
Feature requests not implemented fast enoughCollect internal priority, escalate via Google feedback
Overwhelm of learning for many usersPhase rollouts, training cohorts, internal office hours

Sample Use Cases & Scenarios

To make this concrete, here are two example scenarios to illustrate how teams might use Interactive Reports differently (and better) than before.

Scenario 1: Executive Summary Report

Old system: Every Monday at 9 AM, someone would run a saved report, export CSV, format it (filtering columns, doing comparisons), then email to management.
New system:

  • Create an Interactive Report template with date comparison, relevant metrics, and filters.
  • Schedule it to run weekly.
  • Turn on a flag to highlight when performance drops below threshold.
  • Recipients receive email (if flagged) or view in the tool.
  • Management can click into the report and pivot/filter themselves if curious.

This reduces manual export, redesign, or formatting work.

Scenario 2: Cross-Dimension Analysis

Old system: To see performance by country × device type × ad format, the team would need to export and pivot in Excel or BI tools.
New system: Use hierarchical or pivot views in Interactive Reports to explore the intersections in-platform.
You can collapse/unfold levels without leaving the tool.
No need for constant back-and-forth between ad tool and external spreadsheets.

What’s Changing: Deprecated / Removed Items

To avoid surprises, here are some known changes:

  • The Analytics report type is deprecated; its dimensions/metrics move into the “Historical” report types in Interactive Reports.
  • Some metrics tied to obsolete or low-use features will not carry forward.
  • The Technical Ad Delivery report is being deprecated ahead of the full transition.
  • As new metrics and dimensions are being added only into Interactive Reports, you may see that support for older attributes gradually erodes in the legacy Reports tool.

Therefore, during your inventory and gap analysis, keep an eye out for metrics your team heavily relies on but may be missing downstream.

Measuring Success After Transition

After the cutover, you should monitor these indicators to ensure success:

  • Report accuracy — no large discrepancies between expected and actual data.
  • User adoption — number of users actively generating reports in the new tool vs. fallback to workarounds.
  • Support tickets / issues — how many issues or refunds arise due to reporting errors.
  • Speed & efficiency improvements — time saved in report generation, fewer manual exports or reconciliation.
  • Feedback & requests — how many feature requests are raised, how many are resolved.
  • Dashboard & integration stability — ensure downstream systems still operate with the new data pipeline.

Summary & Final Thoughts

Interactive Reports in GAM represent a meaningful, long-term upgrade in how publishers analyze ad performance. But this change also has risk: if your team doesn’t plan, the transition may disrupt business operations.

To smoothly shift:

  1. Start early with exploration and pilot usage.
  2. Inventory all existing reports and understand where gaps lie.
  3. Rebuild core reports in the new system.
  4. Train your team with role-based learning and documented guides.
  5. Update technical systems and API integrations.
  6. Run parallel testing to reconcile differences.
  7. Execute a controlled cutover with appropriate support.
  8. Monitor, iterate, and send feedback as needed.

With good preparation, your team can emerge stronger: leveraging better tools, smarter workflows, and deeper insights — rather than scrambling to catch up.

Let me know if you’d like a version tailored to your team’s size, or a condensed executive version.

FAQ

When exactly will the old Reports tool be removed in GAM?

Google has announced that the Reports tool in the web interface will be removed in “early 2026.”

Will my old saved or scheduled reports automatically migrate?

No. Google does not automatically migrate saved or scheduled reports. You will need to recreate many of them in Interactive Reports.

Can I still use the old reporting API (SOAP) after transition?

Yes, certain legacy APIs (like the SOAP API) continue to support classic Reports in specific contexts. But the new Interactive Reports API (Beta) is where future reporting features will be added.

What if a metric or dimension in my old report is missing in Interactive Reports?

You’ll need to identify alternative metrics, compute them externally, or request their addition via feedback. Some obsolete or low-use fields are being deprecated.

Is there an API for Interactive Reports?

Yes. A new API (currently in Beta) allows you to create, run, and fetch Interactive Reports programmatically. Google for Developers

How can my team give feedback to Google about missing features?

Inside the Interactive Reports UI, use the “Feedback” option (usually present in the top right). Google encourages users to submit dimension or metric requests.

Will I still be able to export, share, and schedule reports?

Yes. Interactive Reports supports export, sharing, copying, scheduling, and flags.

How will hierarchical vs flat views work in Interactive Reports?

You can choose between flat view (every dimension + metric in separate columns) or hierarchical view (nested, collapsible groups). Exports will default to flat.

How to Enable GDPR & CCPA Compliance in Google Ad Manager

How to Enable GDPR & CCPA Compliance in Google Ad Manager

Google Ad Manager (GAM) has become the backbone for many publishers who rely on ads to monetize their websites and apps. However, with strict privacy laws like the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States, compliance is not just an option—it’s a must. Non-compliance can lead to penalties, loss of user trust, and even restrictions from advertising partners.

In this detailed guide, we’ll walk you through everything you need to know about enabling GDPR and CCPA compliance in Google Ad Manager. From understanding what these laws mean to step-by-step setup instructions, this article will cover it all in simple language.

Understanding GDPR and CCPA in the Context of Google Ad Manager

Before enabling compliance settings, you must clearly understand what GDPR and CCPA are. Both laws focus on user privacy but apply to different regions and user rights.

GDPR Explained

GDPR applies to users in the European Economic Area (EEA). It requires publishers to ask users for explicit consent before collecting their personal data. This includes cookies, device identifiers, and advertising data. The law emphasizes transparency, control, and the right to withdraw consent.

For publishers using Google Ad Manager, this means you cannot just serve personalized ads without user permission. You need a Consent Management Platform (CMP) that integrates with Google’s Transparency and Consent Framework (TCF).

CCPA Explained

CCPA, on the other hand, applies to California residents in the U.S. It gives users the right to opt out of the sale of their personal data. Unlike GDPR, consent is not required upfront. Instead, publishers must provide a clear “Do Not Sell My Personal Information” option.

Google treats certain types of ad personalization as a “sale” under CCPA. So, you need to configure GAM properly to respect user opt-outs.

How to Enable GDPR & CCPA Compliance in Google Ad Manager

Now that you know the basics, let’s get into the actual setup. Below are the key steps you should follow to make your Google Ad Manager account fully compliant.

1. Set Up a Consent Management Platform (CMP) for GDPR

The first step toward GDPR compliance is using a Consent Management Platform. A CMP helps you display consent banners, gather user permissions, and pass consent signals to Google.

  • Choose a Google-certified CMP: Always pick a CMP that is integrated with the IAB Europe TCF. This ensures compatibility with GAM.
  • Customize your consent banner: Make sure it matches your website design and provides clear options for users. Transparency builds trust.
  • Integrate with Google Ad Manager: Your CMP should pass the consent string to GAM. This allows Google to know whether it can serve personalized ads.
  • Test the integration: Use Google’s debugging tools or Chrome Developer Console to check if the consent string is being sent correctly.

Without a CMP, GAM may restrict ad serving in the EEA, which could hurt your revenue.

2. Configure GDPR Settings in Google Ad Manager

Once your CMP is live, you need to adjust GAM’s settings to ensure compliance.

  • Enable GDPR messages: Go to the “Privacy & Messaging” section in GAM and activate GDPR compliance.
  • Select Consent Source: Define whether you are using IAB TCF consent strings or custom consent signals.
  • Personalized vs. Non-Personalized Ads: Decide what type of ads should show if a user refuses consent. Non-personalized ads rely on contextual targeting and still allow monetization.
  • Geo-target GDPR settings: Apply GDPR rules only to traffic from the EEA. This avoids unnecessary interruptions for global users.

By carefully configuring these settings, you balance user privacy with consistent ad delivery.

3. Set Up a “Do Not Sell” Option for CCPA

For CCPA, the focus is on giving California users the right to opt out.

  • Add a “Do Not Sell” link: Place this link in your website footer or settings page. It should be visible and easy to access.
  • Enable CCPA in Google Ad Manager: Navigate to the Privacy & Messaging settings and turn on CCPA compliance.
  • Use Google’s “restricted data processing” mode: When a user opts out, GAM limits the use of personal data. Ads are still served, but targeting is broader.
  • Test opt-out flow: Check whether a user who opts out stops receiving personalized ads. This ensures that Google respects the signal.

Remember, CCPA applies to California residents, so use geo-targeting to avoid showing opt-out banners unnecessarily to global users.

4. Update Your Privacy Policy

Both GDPR and CCPA require publishers to maintain a clear and transparent Privacy Policy.

  • Explain what data is collected: Cookies, device IDs, location data, and browsing behavior.
  • Mention how data is used: For personalized ads, analytics, and third-party services.
  • List your partners: If you use GAM with other SSPs or ad networks, disclose them.
  • Add user rights information: Include GDPR rights (access, rectification, erasure) and CCPA rights (opt-out, deletion).
  • Keep it updated: Laws and Google policies evolve, so update your privacy policy regularly.

A strong privacy policy builds user trust and keeps your site legally safe.

5. Test Compliance Across Devices and Regions

After enabling GDPR and CCPA settings, testing is crucial.

  • Use Chrome Developer Tools: Check cookies and consent strings for GDPR.
  • Simulate different regions: Use VPNs or location simulators to test banners in Europe and California.
  • Mobile testing: Many users access your site via mobile, so ensure banners work well on smaller screens.
  • Check ad revenue impact: Compare performance of personalized vs. non-personalized ads.

Testing helps you identify and fix issues before they affect user experience or revenue.

6. Train Your Team and Update Processes

Compliance is not just a one-time setup. Your team must stay updated.

  • Educate editors and developers: Make sure they understand how GDPR and CCPA affect ad serving.
  • Create a compliance checklist: Include steps for new campaigns, partners, and site changes.
  • Monitor policy updates: Subscribe to Google’s policy updates to stay informed.
  • Audit your setup regularly: Run quarterly audits to ensure everything works smoothly.

This step ensures long-term compliance and avoids accidental violations.

7. Monitor Google Ad Manager Policy Updates

Google frequently updates its privacy and compliance rules.

  • Follow Google Ad Manager Help Center: New policies are announced there first.
  • Check the EU User Consent Policy: This outlines exactly what is required for GDPR compliance.
  • Review CCPA guidelines: Stay aligned with U.S. requirements.
  • Update CMP integrations: As the TCF evolves, update your CMP to match.

Being proactive with updates keeps you ahead of potential compliance risks.

8. Handle Consent for Other Regions (Beyond GDPR & CCPA)

Privacy laws are spreading globally. For example:

  • Brazil (LGPD): Similar to GDPR, requiring consent for personal data usage.
  • Canada (CPPA): Strengthens privacy requirements for publishers.
  • India (DPDP Act): Introduces user consent requirements for data handling.

By preparing your GAM account now, you can easily extend compliance settings for these new laws.

FAQs on Enabling GDPR & CCPA Compliance in Google Ad Manager

Do I really need a CMP for GDPR compliance?

Yes. A CMP helps collect and manage user consent transparently. Without it, Google may restrict ad serving in the EU.

Can I still earn revenue with non-personalized ads?

Yes. Non-personalized ads are contextual and may yield lower CPMs, but they keep revenue flowing while staying compliant.

What happens if I don’t enable CCPA compliance?

If you ignore CCPA, you risk legal penalties, user complaints, and possible restrictions from Google or advertisers.

How do I know if my site is GDPR compliant?

Test your CMP integration. Also, check if consent strings are correctly passed to Google Ad Manager and ads adjust accordingly.

Can one CMP handle both GDPR and CCPA?

Yes. Many CMPs offer dual compliance features. They can display GDPR banners in Europe and CCPA opt-out options in California.

Does CCPA apply only to California users?

Yes. However, some publishers apply CCPA features to all U.S. traffic to simplify compliance.

How often should I update my privacy policy?

At least every six months, or whenever new partners, features, or laws are introduced.

Will compliance affect my ad revenue?

Possibly. Personalized ads often bring higher CPMs. However, compliance protects you from penalties and builds long-term trust.

How to Fix Low Fill Rate Issues in Google Ad Manager

How to Fix Low Fill Rate Issues in Google Ad Manager

If you run ads through Google Ad Manager (GAM), you know that fill rate plays a crucial role in your revenue. A low fill rate means many of your ad requests are not getting filled with ads. This directly reduces your total impressions and overall earnings.

The good news is that low fill rate problems can be fixed with the right strategies. In this article, we will explore the reasons behind low fill rates and discuss proven solutions. By the end, you will have a step-by-step guide to improve your GAM performance and revenue.

What is Fill Rate in Google Ad Manager?

Fill rate shows how many ad requests receive an actual ad response. It is calculated using this formula:

Fill Rate (%) = (Ad Impressions ÷ Ad Requests) × 100

For example, if your website makes 100,000 ad requests but only 70,000 impressions are served, your fill rate is 70%.

Ideally, you want your fill rate close to 100%. However, it rarely reaches that level because many factors influence it.

Why Does Fill Rate Matter?

Fill rate matters because it directly affects your revenue. If advertisers are not filling your requests, you are missing opportunities to earn. A 10% drop in fill rate could mean thousands of lost impressions and significant revenue loss.

High fill rates mean:

  • Better revenue potential.
  • Improved advertiser trust.
  • More consistent performance across your inventory.

Low fill rates, on the other hand, signal mismatched demand, poor targeting, or setup issues.

Common Reasons for Low Fill Rate in GAM

Before fixing the issue, let’s understand why it happens. Here are the most common causes:

  1. Geography mismatch – Advertisers may not target your audience location.
  2. Ad unit setup errors – Wrong sizes, placements, or misconfigured tags.
  3. Low demand in open auctions – Not enough advertisers bidding for your traffic.
  4. Floor price too high – If you set CPM floors above what buyers want to pay.
  5. Ad-blockers – Users with ad-block software reduce fill opportunities.
  6. Policy violations – Restricted content can lead to fewer eligible ads.
  7. Technical issues – Latency, slow page load, or tag misfiring.

Now, let’s go deeper into the fixes.

How to Fix Low Fill Rate Issues in Google Ad Manager

1. Review Your Inventory Setup

Start by checking if your ad units are set up correctly. Incorrect ad sizes or placements lead to low demand.

  • Use standard IAB sizes like 300×250, 728×90, 336×280, and 320×50.
  • Avoid too many custom sizes. Advertisers prefer standard dimensions.
  • Place ads in visible areas. Above-the-fold placements often get higher demand.

Pro Tip: Use Google Ad Manager’s ad unit reports to see which slots have low fill. Optimize those first.

2. Lower Your Floor Price (CPM Floors)

Setting floor prices too high can push buyers away. For instance, if your floor price is $3 but buyers are bidding at $2.50, you lose impressions.

  • Experiment with lower floors and monitor fill rate changes.
  • Use price priority or dynamic allocation instead of hard floors.
  • Allow Google Ad Exchange to optimize pricing automatically.

Remember: Lowering floors doesn’t always mean lower revenue. A higher fill rate often compensates for slightly lower CPMs.

3. Enable Multiple Demand Sources

Relying only on Google Ad Exchange reduces competition. Adding more demand partners ensures higher fill.

  • Connect with other SSPs (Supply-Side Platforms).
  • Implement header bidding to increase competition.
  • Use Open Bidding in Google Ad Manager to bring multiple partners inside.

When multiple buyers compete, fill rate improves and CPMs rise.

4. Optimize Targeting Settings

Sometimes your targeting is too narrow. For example, you may block too many categories or restrict geo-targeting.

  • Allow broader targeting options when possible.
  • Check blocked categories and consider unblocking non-sensitive ones.
  • Review your brand safety filters and adjust if they are too strict.

Example: If you block “Politics” and “Finance” categories, you might lose thousands of eligible ads. Revisit these filters carefully.

5. Improve Page Speed and Reduce Latency

Slow-loading pages harm fill rates because ads may not render before the user leaves.

  • Use lightweight ad tags.
  • Optimize images and scripts to improve site speed.
  • Consider lazy loading ads only when they come into view.
  • Use AMP pages for faster delivery on mobile.

Tip: Run Google PageSpeed Insights to test loading times and fix highlighted issues.

6. Monitor Geo and Device Targeting

Some advertisers don’t buy inventory in specific regions. If most of your traffic is from low-demand countries, fill rate drops.

  • Check which geographies have low demand.
  • Partner with networks that specialize in your traffic regions.
  • Optimize device targeting. Desktop, mobile, and CTV fill rates differ.

If you get traffic from tier-3 countries, focus on monetization partners who buy that audience.

7. Use Backfill Options (AdSense or House Ads)

If Ad Exchange cannot fill an impression, you can set up backfill options.

  • Enable AdSense as backfill in GAM.
  • Run house ads (your promotions or affiliate banners) when no ads are available.
  • This ensures no blank spaces on your site.

Even though backfill ads may pay lower, they are better than showing nothing.

8. Test Different Ad Formats

Advertisers prefer certain formats, and ignoring them reduces fill.

  • Try responsive display ads.
  • Add video ads if your site supports them.
  • Enable native ads for a smoother user experience.

Fact: Video ads generally attract higher demand and better fill rates compared to static banners.

9. Reduce Policy Violations

If your content violates Google policies, many advertisers avoid your site.

  • Keep your site free of adult, violent, or copyrighted material.
  • Avoid misleading placements like accidental clicks.
  • Use Google’s Policy Center in GAM to review issues.

Clean, policy-compliant sites always get better fill and higher-paying ads.

10. Analyze Reports Regularly

Improvement only happens when you measure performance.

  • Use GAM’s “Inventory Report” to track ad requests vs. impressions.
  • Monitor fill rate by geography, device, and ad unit.
  • Identify underperforming slots and fix them immediately.

Tip: Set automated alerts in GAM to notify you when fill rate drops below a set threshold.

11. Minimize Ad-Blocker Impact

Ad-blockers are a reality. Some users simply won’t see ads, which reduces fill.

  • Use ad-block recovery scripts that serve alternative content.
  • Offer subscription options for ad-free browsing.
  • Reduce intrusive ads to discourage users from installing blockers.

Though you can’t completely eliminate ad-blocker effects, you can minimize the loss.

12. Work with a Monetization Partner

If fixing everything feels overwhelming, consider partnering with a monetization company. These partners:

  • Provide access to premium demand sources.
  • Help optimize floor pricing and header bidding.
  • Offer dedicated support to resolve technical issues.

For small to mid-sized publishers, managed monetization can significantly boost fill rates and revenue.

Best Practices to Maintain a Healthy Fill Rate

  1. Always keep multiple demand sources active.
  2. Test floor prices regularly instead of setting them once.
  3. Use ad refresh cautiously to increase impressions without hurting user experience.
  4. Focus on user-friendly placements that attract advertisers.
  5. Keep content updated, relevant, and policy-compliant.

Conclusion

A low fill rate in Google Ad Manager directly impacts your revenue. The reasons may range from high floors to poor inventory setup. However, the solutions are straightforward once you identify the root cause. By lowering floors, adding demand sources, optimizing targeting, and ensuring compliance, you can quickly improve fill rates.

Think of fill rate as a balance between demand and supply. When advertisers find your inventory attractive, fill rates naturally rise. Use the steps in this guide, monitor regularly, and stay flexible with your strategies.

Frequently Asked Questions (FAQ)

What is a good fill rate in Google Ad Manager?

A good fill rate is usually above 85–90%. However, the ideal number depends on your traffic geography, niche, and demand sources.

Why is my fill rate suddenly low?

Sudden drops can happen due to technical errors, policy violations, or seasonal advertiser demand changes. Always check reports for exact causes.

Does lowering floor price always improve fill rate?

Not always, but in most cases, yes. Lowering floors allows more buyers to bid. However, keep testing to find the sweet spot between CPM and fill.

How can I improve fill rate for tier-3 country traffic?

Work with ad networks or SSPs that specialize in tier-3 markets. Google alone may not give you high fill in these regions.

Can ad-blockers reduce my fill rate?

Yes. Ad-blockers prevent ads from loading, which reduces served impressions. Consider ad-block recovery tools or subscriptions.

Should I use backfill like AdSense in GAM?

Yes, using AdSense as a backfill ensures that unsold impressions are still monetized, even if at a lower CPM.

How often should I review my fill rate reports?

At least once a week. If you see big traffic or revenue fluctuations, review daily to identify problems early.

Do video ads improve fill rate?

Yes. Video ads usually have higher demand compared to display. If your site supports them, adding video ads can increase both fill and revenue.

Google Ad Manager Curation Setting Update in 2025

How Curation Settings in Ad Manager Can Transform Your Monetization Strategy: Update 2025

If you’re a publisher looking to squeeze more value from your ad inventory in 2025, you’ve gotta hear about this. Google Ad Manager just dropped some major updates to its curation settings features. And yeah, at first glance, it might seem like another techy dashboard thing. But if you care about better deals, higher CPMs, and giving buyers what they actually want—this one matters.

Let’s break it all down in a chill, no-jargon way.

What the Heck is Curation for Publishers Anyway?

Think of curation as letting trusted partners help shape your ad inventory into something buyers really want. You give them certain data (don’t worry, it’s permission-based), and they turn it into super-targeted packages that advertisers love.

It’s like letting a skilled chef prep your raw ingredients. They know what spices to add to get top-dollar.

What’s In It For You?

  • More competitive bidding
  • Better match rates
  • Optimized ad performance
  • Access to premium demand

And the best part? You stay in control of what you share.

What’s Changing in 2025?

Here’s what Google is doing with Curation Settings:

Old SettingNew SettingWhat It Means
Share Secure SignalsStill availableShare hashed user IDs like Device ID & cookies.
Share Contextual InformationRemovedRolled into the new setting.
Allow Inventory CurationRenamed to “Allow Inventory Packaging”Same function, just clearer naming.
Enable Data Sharing (New)Controls all user/contextual sharingDefault depends on existing setup.

Key Date: All these changes go live on July 24, 2025.

Myth vs Truth: Clearing Up Confusion

Myth: Sharing data with curation partners means less control.

Truth: You decide who gets what. Plus, you can turn it off anytime.

Myth: Only big publishers benefit from curation.Truth: Even smaller sites see big wins with higher match rates and targeting.

Step 1: Share Data for Segment Targeting

Alright, this is where the magic starts.

Here’s how it works:

  1. You send an ad request with signals.
  2. Google passes the data to the curation partner.
  3. They return a data segment ID.
  4. A buyer has a deal targeting that segment.
  5. Google sends the bid request to DSPs with that Deal ID.

You don’t even need to handle payments. Google takes care of that with the partner.

What You Can Share:

  • Secure Signals: Device ID, cookies, hashed identifiers.
  • Contextual Info: URL, App ID, geo-level, consent string, etc.

Both can help partners build more accurate segments.

How to Enable It:

  1. Go to your Ad Manager account.
  2. Click Inventory > Curation Settings.
  3. For each partner, toggle Share Secure Signals and/or Enable Data Sharing.
  4. Hit Save.

Step 2: Let Partners Package Your Inventory

Beyond segment targeting, curation partners can also create custom inventory packages.

These packages help buyers find exactly what they want. And they can set floor prices—only applied if higher than yours.

Think of it like bundling your best ad slots into a VIP pass.

How it works:

  • Partners use filters like geo, device, app ID, etc.
  • They build curated packages.
  • These packages get Deal IDs.
  • Buyers subscribe using their agency seats.

How to Enable Inventory Packaging:

  1. Still in Curation Settings, find Allow Inventory Packaging (formerly Curation).
  2. Flip the switch on or off as needed.
  3. Save changes.

Easy.

Reporting: How to Track It All

You can actually see the impact of curation with the right report setup.

Go to: Interactive Report > Add Dimensions & Metrics

Recommended Dimensions:

  • Curation Partner ID
  • Deal ID
  • Is Curation Targeted
  • Buyer Network
  • Auction Package Deal ID
  • Agency IDs (1-3 levels)

Metrics to Track:

  • Impressions (Total & Ad Exchange)
  • Bids
  • Revenue (CPM, CPC, CPD, vCPM)
  • eCPM

You’ll be able to tell if curated deals are bringing real value.

Final Thoughts: Why You Should Care

Sure, it’s a beta feature. But early access could mean early advantage.

With curated deals:

  • You tap into richer data targeting.
  • You increase visibility for your inventory.
  • You stay competitive in a market where every impression counts.

And when done right, curation can drive more revenue without extra hustle from your side.

So yeah—this is more than just a settings update. It’s a monetization upgrade.

Stay ahead of the game.
Try it out.
Own it.