# How To Optimize a Demand Gen Campaign: A Diagnostic Guide

> Tower33 runs live account diagnostics to fix Demand Gen campaigns that spend without converting. See the four-phase optimization sequence.

**Published:** 2026-10-25 | **Updated:** 2026-10-31 | **Author:** victorsoares
**URL:** https://tower33.com/articles/google-demand-gen-campaign-optimization/
**Type:** post

**Categories:** Google Ads

![How To Optimize a Demand Gen Campaign: A Diagnostic Guide](https://tower33.com/articles/wp-content/uploads/sites/107/2026/10/1792838079964-f76527cfa2df-1024x572.webp)

---

## Content

*Written by: Anthony Miller, Founder, Tower 33*

## Key Takeaways

- Demand Gen optimization follows a strict diagnostic sequence: conversion signal, then audience, then bidding, then creative. Each step depends on the previous one.
- Verify the Google tag, Primary conversion actions, value passing, Enhanced Conversions, and attribution windows before changing bids or audiences.
- Diagnose audience problems as volume or quality issues. Maintain Customer Match lists above roughly 100 matched users, separate prospecting from remarketing, and secure enough impression volume for learning.
- Move from Maximize Conversions to tCPA or tROAS only after about 50 clean conversions. Respect the 7 to 14-day learning phase and treat budget multiples of target CPA as a floor.
- Tower33 applies this diagnostic order on live accounts to surface what is not working and to produce interpretable results.

[Get the Full Demand Gen Playbook From Tower33](https://tower33.com/join-strategy-newsletter/?utm_term=google-demand-gen-campaign-optimization&utm_campaign=ai_growth_agent)

## The Diagnostic Is The Work, And Tower33 Runs It On Live Accounts

When a Demand Gen campaign is live and either underspending, spending without converting, or converting at an inflated CPA, the real question is which lever to pull first and why. That sequencing is the work. It separates a defensible optimization pass from a series of changes that produce a read you cannot trust.

Tower33 runs this exact sequence on live accounts. Anthony Miller, Founder and Lead Strategist at Tower33, leads strategy and day-to-day management on every account personally. He brings 15+ years managing hundreds of millions in media spend across brands. Tower33 is a boutique, founder-led firm, small by design and built to serve the underserved middle of the market. There is no contractual lock-in, and reporting is built to surface what is not working rather than to reassure. The strategic layer behind every engagement is documented in *A Methodology for Paid Media Success*.

## Audit The Conversion Signal Before You Change Anything

Most “how to optimize Demand Gen” advice assumes conversion tracking is correct. It usually is not. Optimizing bidding or audience against a broken signal wastes budget because the algorithm learns faster and harder in the wrong direction.

Before touching a single bid strategy or audience segment, verify each of the following:

- The Google tag is firing correctly on the actual conversion page. [Google recommends verifying with Google Tag Assistant](https://support.google.com/google-ads/answer/1722022). If you use Google Tag Manager, confirm the Conversion Linker tag is set up correctly. Do not panic if the status shows “Unverified” or “Inactive.” That is normal for new tags and only updates to “Active” after Google records its first conversion or a successful test event.
- Conversion actions are set to Primary (biddable) or Secondary (observation only) correctly. [Google’s documentation states plainly that misconfiguring these settings can prevent Smart Bidding from optimizing effectively](https://support.google.com/google-ads/answer/16560108), because the algorithm relies on these signals to improve campaign performance. A purchase campaign optimizing toward a newsletter signup is a common and quietly catastrophic version of this problem.
- Conversion values are passed where value-based bidding is in play. Dynamic values such as conversion value, transaction ID, and currency need to be available on the page where the tag fires. Without those values, Target ROAS has nothing real to optimize toward.
- Enhanced Conversions are configured. [Google’s conversion setup flow includes an enhanced conversions section where advertisers can toggle enhanced conversions on for the account before finishing setup](https://support.google.com/google-ads/answer/16560108). Enhanced conversions is not off by default. [Existing conversion actions that did not have it turned on get it enabled with account-level enhanced conversions (unless previously explicitly opted out), and new conversion actions inherit the account-level setting](https://support.google.com/google-ads/answer/14664077?hl=en).
- Attribution windows match how the business actually closes. A campaign selling a considered purchase with a 30-day decision cycle should not be judged on a 7-day click-through window. [Google exposes nine adjustable fields per conversion action](https://support.google.com/google-ads/answer/16560108), including click-through window, engaged-view window, view-through window, and attribution model. None of these should stay at defaults without a deliberate reason.

Hold bidding changes until the signal is trustworthy. A campaign optimizing toward a broken conversion action behaves as instructed and focuses on the wrong outcome.

## How To Optimize A Demand Gen Campaign In Four Phases

The diagnostic sequence runs in four phases, and each phase depends on the one before it.

1. **Measurement** verifies the conversion signal before anything else.
2. **Audience** determines whether the problem is audience volume or audience quality.
3. **Bidding** moves bid strategies only once signal and audience are sound.
4. **Creative** tests and prunes in a way that produces a readable conclusion.

The dependency logic is straightforward. Changing bidding while the audience or the signal is wrong produces a read you cannot trust. If the conversion signal is misconfigured, the algorithm learns the wrong thing faster. If the audience is wrong, even a correctly configured bid strategy optimizes toward the wrong people. If both are wrong and you change creative, you cannot tell whether a performance shift came from the new asset or from the underlying noise. This order is the sequence that produces interpretable results.

[Get The Diagnostic Checklist In Your Inbox](https://tower33.com/join-strategy-newsletter/?utm_term=google-demand-gen-campaign-optimization&utm_campaign=ai_growth_agent)

## Phase Two: Separate Audience Volume From Audience Quality

Once the conversion signal is verified, the next diagnostic question is whether the campaign is reaching the wrong people or simply not enough of the right ones. These are different problems with different fixes, and conflating them is how accounts drift for months without a real answer.

The fastest way to tell volume from quality is to check your Customer Match lists. [Demand Gen is the only Google Ads campaign type that supports lookalike segments](https://support.google.com/google-ads/answer/1722022), which makes first-party data the strategic backbone of the format. [A lookalike seed list should generally stay above roughly 100 active matched users to give Google enough signal, though Google’s updated documentation no longer treats this as a hard constraint](https://digitalhangover.in/blog/demand-gen-campaigns). Below that level, the segment either deactivates or produces audiences statistically similar to the wrong customers. Seed lists should come from past buyers or highest-value converters, not broad site visitor traffic.

The distinction between remarketing and prospecting audiences inside Demand Gen matters more than most accounts treat it. Mixing prospecting and remarketing in the same campaign splits the learning signal and makes performance attribution unreliable, so use separate campaigns or at minimum separate ad groups with distinct audience strategies. Audience signals in Demand Gen act as hints rather than hard restrictions, and [Google’s algorithm expands beyond them](https://support.google.com/google-ads/answer/17061251). That behavior makes the signal quality of the seed more important than the targeting boundary.

Audience size also interacts directly with the learning phase. A campaign targeting a narrow segment may stall because there is not enough volume for the algorithm to find a pattern. If impression volume is low and conversion data is thin, the campaign is underfunded relative to the audience it is trying to reach.

For a deeper walkthrough of audience configuration inside Demand Gen, see [How To Configure Google Demand Gen Audience Targeting](https://tower33.com/articles/google-demand-gen-audience-targeting/?utm_term=google-demand-gen-campaign-optimization&utm_campaign=ai_growth_agent).

## Phase Three: Bidding Transitions And Budget Heuristics

[Maximize Conversions is the right starting point for most Demand Gen campaigns](https://aiseoshift.com/blog/google-demand-gen-campaigns). Once you set it, expect a 7 to 14-day learning phase while [Google’s Smart Bidding gathers sufficient data and stabilizes delivery](https://support.google.com/google-ads/answer/1722022). [Frequent manual changes to budgets, CPA targets, or conversion goals during that period reset the learning window](https://support.google.com/google-ads/answer/1722022). The practical implication is simple: do not touch the campaign during the learning phase unless something is catastrophically wrong.

The transition from Maximize Conversions to Target CPA (tCPA) or Target ROAS should happen only after the campaign has accumulated enough conversion data for the algorithm to have something real to learn from. [Google Ads Help guidance for Demand Gen bidding recommends waiting until the campaign has at least 50 conversions before switching to tCPA or tROAS](https://aiseoshift.com/blog/google-demand-gen-campaigns). That threshold is a starting heuristic. The right point depends on conversion volume, signal quality, and how stable the data has been. An account recording 50 conversions against a noisy signal is in worse shape than one with 35 clean ones.

The circulating guidance on budget multiples of target CPA needs the same nuance. [Google’s Demand Gen performance guide recommends a budget of at least 10 times the target CPA](https://digitalhangover.in/blog/demand-gen-campaigns) to give the bidding system enough room to explore. That multiple works as a starting point for an account with clean conversion data and a well-defined tCPA. For an account still in learning, or one where the tCPA is aspirational rather than historical, that multiple may need to be higher. Treat the budget multiple as a floor.

When introducing tROAS, [Google Ads Help advises pulling actual ROAS from the previous 30 days and setting the target roughly 20% below that figure](https://aiseoshift.com/blog/google-demand-gen-campaigns). Then [adjust up or down by about 10% as performance stabilizes](https://aiseoshift.com/blog/google-demand-gen-campaigns). Large jumps in either direction reset learning and produce a read that reflects disruption instead of strategy.

For campaign structure context that shows how bidding decisions interact with campaign architecture, see [How To Structure Google Demand Gen Campaigns That Convert](https://tower33.com/articles/google-demand-gen-campaign-structure/?utm_term=google-demand-gen-campaign-optimization&utm_campaign=ai_growth_agent).

## Phase Four: Creative Testing That Produces A Clear Read

Creative testing in Demand Gen works best when it runs structured tests that produce a conclusion you can act on. The most common failure mode is not bad creative. It is premature termination of a test that still reflects serving distribution rather than creative quality.

The cadence question matters. [Alejandro Osio, Google’s Product Manager for Demand Gen and YouTube performance ads, recommends keeping top-performing assets live while adding new ones](https://ppc.land/google-pm-calls-100-a-day-the-floor-for-a-demand-gen-campaign). Do not swap the entire creative set at once. This approach keeps performance stable while the system ramps up on new inputs. An asset in marked decline against its own launch-period performance is a stronger replacement candidate than one still serving well.

The interpretation question is harder. [Cross-format tests need at least two weeks of runtime and sufficient impressions per format cell to reach statistical significance](https://keepersdigital.com/en-us/resources/paid-search/demand-gen-creative-testing). Relying on click-through rate alone to evaluate creative ignores that CTR measures click probability, not business outcome. A high-CTR asset may attract clicks from the wrong audience. Success metrics should include conversion rate and cost per acquisition alongside engagement signals.

Video engagement signals such as completion rate, engaged views, and view-through conversions serve as leading indicators of creative quality before conversion data matures. [Google already reports engaged-view conversions for video-based campaigns](https://searchengineland.com/demand-gen-ppc-intent-484941), recognizing that a user may watch an ad, choose not to click, and still convert afterward. These signals belong in the evaluation as context for what the conversion data is telling you.

Asset variety across formats is mandatory. [Google’s AI needs at least three unique assets per ad group in each of three ratios, vertical (9:16), square (1:1), and landscape (16:9)](https://omologist.com/google-ads/demand-gen), so it can match creative to placement and user. A single hero asset leaves Shorts and portions of Discover inventory effectively unreachable. Pruning underperformers without replacing them narrows the creative pool and limits where the campaign can serve.

## Demand Gen Or Performance Max: Where The Next Dollar Belongs

Once creative is producing a readable result, the next budget question is structural. The decision is whether the next dollar should go to Demand Gen or Performance Max. This is where the real budget decision lives for most accounts running both campaign types.

The decisive difference is inventory. Performance Max buys every Google surface from a single campaign: Search, Shopping, Display, YouTube, Discover, Gmail, and Maps. The algorithm decides placement, audience, and price from supplied asset groups and a conversion goal. [Demand Gen never touches a search results page and cannot harvest existing demand](https://soku.ai/blog/google-ads-campaign-types). These products serve different jobs in the account.

The conditions under which running both is justified:

- The account records enough conversions monthly for both campaign types to learn from. Accounts with fewer than 30 conversions a month should fix Search first, because both Performance Max and Demand Gen need conversion volume to learn. Splitting a thin signal between two campaigns produces two campaigns that learn nothing.
- The goals are genuinely distinct. Performance Max handles the bottom-funnel conversion push across Search and Shopping inventory. Demand Gen runs awareness and consideration work that feeds new audiences for later retargeting. When each does its own job, both get cheaper.
- Audience exclusions are in place. Demand Gen and Performance Max compete for the same budget line, not the same impression. Without written ownership of prospecting versus remarketing and proper exclusions, Demand Gen will retarget the same remarketing audience Performance Max is already paying for.

The conditions under which consolidating makes more sense:

- Conversion volume is thin and the signal needs to be concentrated instead of split.
- The account has a clean Merchant Center feed and the primary goal is purchase volume. In that case, Performance Max is the primary vehicle and Demand Gen is additive, not parallel.
- The brand has no infrastructure to convert upper-funnel traffic, such as deep audience segmentation, tailored landing pages, or a nurture system. Demand Gen delivering more people to a page that does not convert reflects an infrastructure gap, not a Demand Gen problem.

## Reporting: Metrics That Prove Demand Gen Is Working

Impressions and CTR without a cost or revenue line hide problems instead of surfacing them. That reporting posture lets a campaign drift for months while looking fine on paper.

The metrics that matter are cost per conversion, cost per qualified lead where lead generation is the goal, conversion value and return on ad spend where value is tracked, and conversion volume against the learning threshold. [Tinuiti’s Q1 2026 Digital Ads Benchmark Report found that Google Demand Gen spending grew 22% year over year while average Demand Gen CPM fell 23% year over year among advertisers active in both Q1 2025 and Q1 2026](https://tinuiti.com/research-insights/research/digital-ads-benchmark-report-q1-2026). That combination means impression volume is expanding, and when volume expands, blended account-level ROAS becomes the metric to watch rather than any single channel’s reported ROAS.

Separating signal quality from surface metrics requires knowing what interval to judge a change over. [Google’s Smart Bidding needs 7 to 14 days to stabilize after any significant change](https://support.google.com/google-ads/answer/1722022), and conversion lag means results from the first week of a new bid strategy reflect the prior state of the campaign as much as the new one. Judging a change before that window closes produces a read that reflects noise instead of the change.

Last-click attribution systematically undercounts Demand Gen’s contribution. A user who sees a Demand Gen ad on YouTube Monday, searches the brand Thursday, and converts via Search Friday appears as a Search-only conversion. [A complete Demand Gen measurement stack includes last-click conversions, assisted conversions, view-through conversions, engaged views, and Attributed Branded Searches](https://omologist.com/google-ads/demand-gen), evaluated together rather than individually. [Attributed Branded Searches, generally available as of January 2026](https://omologist.com/google-ads/demand-gen), surfaces the volume of branded searches generated by Demand Gen campaigns and shows demand creation rather than demand harvesting.

For a deeper treatment of attribution methodology across Google Ads, see [Google Ads Revenue Attribution: A Diagnostic Playbook](https://tower33.com/articles/google-search-campaign-revenue-attribution/?utm_term=google-demand-gen-campaign-optimization&utm_campaign=ai_growth_agent).

## Frequently Asked Questions About Demand Gen Diagnostics

### How Long Does The Demand Gen Learning Phase Last, And What Should I Do During It?

The learning phase typically lasts 7 to 14 days while Smart Bidding stabilizes. As covered in Phase Three, manual changes to budgets, CPA or ROAS targets, or conversion goals reset that window and delay optimization. The practical guidance is to leave the campaign structurally unchanged during the learning phase. Monitor impression volume and week-over-week conversion rate trend, and intervene only for issues like a tag that has stopped firing, a budget that has been exhausted, or a misconfigured conversion action.

### Why Is My Demand Gen Campaign Spending But Not Converting?

Three causes show up most often. First, the conversion signal is broken, such as a tag firing against a Secondary action or tracking the wrong event entirely. Second, the audience is wrong, so the campaign reaches people who match a profile but have no real purchase intent and the algorithm optimizes toward clicks instead of customers. Third, the landing page does not convert, so Demand Gen delivers people to a page that does not close the gap between the ad’s promise and the purchase decision. Audit in that order before changing anything else.

### When Should I Move From Maximize Conversions To tCPA Or tROAS?

Move once the campaign has enough clean conversion data for the algorithm to learn from. As described in Phase Three, Google’s guidance suggests at least 50 conversions as a starting threshold and emphasizes signal quality over raw count. When you introduce tCPA, base it on actual historical performance rather than a wishful target. For tROAS, follow the 30-day lookback and 20-percent-below-target approach described in Phase Three, then adjust in small increments as performance stabilizes.

### Should Demand Gen Or Performance Max Get The Budget?

The answer depends on each campaign’s job and the available conversion volume. Performance Max includes Search and Shopping inventory and captures existing demand. Demand Gen never touches a search results page and creates demand by reaching people before they search. As the Demand Gen versus Performance Max section explains, thin conversion volume means you should concentrate the signal in Search first. Once that is working, add Demand Gen as an additive investment and use audience exclusions so the two campaigns do not compete for the same users on the same budget line.

### What Conversion Tracking Must Be In Place Before I Optimize Anything?

At minimum, you need the Google tag firing correctly on the actual conversion page, verified with Google Tag Assistant, and conversion actions correctly designated as Primary or Secondary. Auto-tagging must be enabled in account settings so Google Click Identifiers are appended to ad click URLs. [Without auto-tagging, Google Ads cannot attribute website conversions to campaigns](https://support.google.com/google-ads/thread/471801567/conversion-action-stuck-on-awaiting-conversions-after-1-day-tag-fires-correctly-in-gtm). For value-based bidding, pass conversion values dynamically on the page where the tag fires. Enhanced Conversions should be toggled on at the account level. Set attribution windows deliberately before launch and avoid changing them mid-test, because altering the window during a learning phase distorts both bidding signals and comparative reporting.

### How Long Should I Wait Before Judging A Change?

Use at least one full learning phase of 7 to 14 days plus time for conversion lag to resolve. A bid strategy change on day one looks different on day seven than on day fourteen, because conversions from the first days of the new strategy are still working through the attribution window. For creative tests, use the two-week minimum from Phase Four and allow longer for cross-format tests. The most common mistake is judging a change before the data has settled and then layering another change on top of an incomplete read.

### Is A Boutique Firm Or An In-House Hire Better For Ongoing Demand Gen Work?

The right structure depends on budget, internal support, and how stable the needs are. An in-house hire fits when spend is high enough to justify a senior hire, internal infrastructure already exists to support them, and the role is stable enough for one person to own. The timing is punishing, with 60 to 90 days to recruit and another 30 to 60 to onboard, which creates a long window of degraded performance. Many companies hire at a lower salary band and end up with someone under five years of experience. A boutique firm with a founder who stays on the account permanently solves the continuity problem a large agency cannot. The person who runs the pitch is the person in the campaigns every week, and institutional knowledge stays with the account.

[See How We Sequence Bidding And Creative In Practice](https://tower33.com/join-strategy-newsletter/?utm_term=google-demand-gen-campaign-optimization&utm_campaign=ai_growth_agent)

## The Sequence Is The Strategy

The diagnostic order is the whole game. Fix the conversion signal. Then audit the audience. Then move the bid strategy. Then test creative in a way that produces a conclusion rather than a vibe. Every step depends on the one before it, and optimizing bidding before the signal is trustworthy is one of the most expensive mistakes in the channel.

This is the diagnostic Tower33 runs on live accounts. Anthony Miller leads strategy and day-to-day management on every engagement personally, with founder-led continuity, no contractual lock-in, and reporting built to surface what is not working rather than to reassure. If the campaign is live and the read is not clear, this sequence is where to start.

tower33.com · info@tower33.com · linkedin.com/in/anthonyoutside/

[Get The Full Playbook For Your Account](https://tower33.com/join-strategy-newsletter/?utm_term=google-demand-gen-campaign-optimization&utm_campaign=ai_growth_agent)

## What to Read Next

- [How to Structure Google Demand Gen Campaigns That Convert](https://tower33.com/articles/google-demand-gen-campaign-structure/?utm_term=google-demand-gen-campaign-optimization&utm_campaign=ai_growth_agent)
- [How To Configure Google Demand Gen Audience Targeting](https://tower33.com/articles/google-demand-gen-audience-targeting/?utm_term=google-demand-gen-campaign-optimization&utm_campaign=ai_growth_agent)
- [Google Search Campaign Optimization: A Sequenced Playbook](https://tower33.com/articles/google-search-campaign-optimization-playbook/?utm_term=google-demand-gen-campaign-optimization&utm_campaign=ai_growth_agent)
- [Conversion Optimization for Paid Traffic: Fix What’s Broken](https://tower33.com/articles/conversion-optimization-paid-traffic/?utm_term=google-demand-gen-campaign-optimization&utm_campaign=ai_growth_agent)
- [Demand Gen Location Targeting: Settings & Strategy](https://tower33.com/articles/google-demand-gen-location-targeting/?utm_term=google-demand-gen-campaign-optimization&utm_campaign=ai_growth_agent)

---

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      - **Text:** Three causes show up most often. First, the conversion signal is broken, such as a tag firing against a Secondary action or tracking the wrong event entirely. Second, the audience is wrong, so the campaign reaches people who match a profile but have no real purchase intent and the algorithm optimizes toward clicks instead of customers. Third, the landing page does not convert, so Demand Gen delivers people to a page that does not close the gap between the ad’s promise and the purchase decision. Audit in that order before changing anything else.
    **Question:**

    - **Name:** When Should I Move From Maximize Conversions To tCPA Or tROAS?
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      - **Text:** Move once the campaign has enough clean conversion data for the algorithm to learn from. As described in Phase Three, Google’s guidance suggests at least 50 conversions as a starting threshold and emphasizes signal quality over raw count. When you introduce tCPA, base it on actual historical performance rather than a wishful target. For tROAS, follow the 30-day lookback and 20-percent-below-target approach described in Phase Three, then adjust in small increments as performance stabilizes.
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      - **Text:** The answer depends on each campaign’s job and the available conversion volume. Performance Max includes Search and Shopping inventory and captures existing demand. Demand Gen never touches a search results page and creates demand by reaching people before they search. As the Demand Gen versus Performance Max section explains, thin conversion volume means you should concentrate the signal in Search first. Once that is working, add Demand Gen as an additive investment and use audience exclusions so the two campaigns do not compete for the same users on the same budget line.
    **Question:**

    - **Name:** What Conversion Tracking Must Be In Place Before I Optimize Anything?
      **Answer:**

      - **Text:** At minimum, you need the Google tag firing correctly on the actual conversion page, verified with Google Tag Assistant, and conversion actions correctly designated as Primary or Secondary. Auto-tagging must be enabled in account settings so Google Click Identifiers are appended to ad click URLs. Without auto-tagging, Google Ads cannot attribute website conversions to campaigns. For value-based bidding, pass conversion values dynamically on the page where the tag fires. Enhanced Conversions should be toggled on at the account level. Set attribution windows deliberately before launch and avoid changing them mid-test, because altering the window during a learning phase distorts both bidding signals and comparative reporting.
    **Question:**

    - **Name:** How Long Should I Wait Before Judging A Change?
      **Answer:**

      - **Text:** Use at least one full learning phase of 7 to 14 days plus time for conversion lag to resolve. A bid strategy change on day one looks different on day seven than on day fourteen, because conversions from the first days of the new strategy are still working through the attribution window. For creative tests, use the two-week minimum from Phase Four and allow longer for cross-format tests. The most common mistake is judging a change before the data has settled and then layering another change on top of an incomplete read.
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      - **Text:** The right structure depends on budget, internal support, and how stable the needs are. An in-house hire fits when spend is high enough to justify a senior hire, internal infrastructure already exists to support them, and the role is stable enough for one person to own. The timing is punishing, with 60 to 90 days to recruit and another 30 to 60 to onboard, which creates a long window of degraded performance. Many companies hire at a lower salary band and end up with someone under five years of experience. A boutique firm with a founder who stays on the account permanently solves the continuity problem a large agency cannot. The person who runs the pitch is the person in the campaigns every week, and institutional knowledge stays with the account.

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  - **Headline:** How To Optimize a Demand Gen Campaign: A Diagnostic Guide
  - **Description:** Tower33 runs live account diagnostics to fix Demand Gen campaigns that spend without converting. See the four-phase optimization sequence.
  - **DateModified:** 2026-10-24T10:34:24.360Z
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    - **Name:** Anthony Miller
    - **JobTitle:** Founder
    - **Description:** 20+ years in customer acquisition, digital marketing, search, social, analytics, and technology.Anthony has worked with hundreds of brands, managed hundreds of millions in ad spend, and founded both Tower33 and Travel Outside. Today, he works with select partners building and running customer acquisition ad programs through strategy, and hands-on management.
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      - **Url:** https://tower33.com/
    **Organization:**

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    - **Url:** https://tower33.com


---

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## Citations

- [Google Local Services Ads Requirements: A Complete Guide](https://tower33.com/articles/google-local-services-ads-requirements/)
- [How To Optimize Google PMax Campaigns That Actually Convert](https://tower33.com/articles/optimize-google-pmax-campaigns/)
- [Best Agency for Google Search Campaigns: A Buyer’s Guide](https://tower33.com/articles/best-agency-google-search-campaigns/)
- [Google Shopping Budget Allocation: A Step-by-Step Guide](https://tower33.com/articles/google-shopping-campaign-budget-allocation/)
- [The Best Google Ads Reporting Agency Lets You Audit First](https://tower33.com/articles/best-google-ads-reporting-agency/)

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