Performance Max campaigns are transforming how businesses run Google Ads in 2026. Instead of managing separate Search, Display, YouTube, Discover, and Gmail campaigns, Performance Max campaigns allow advertisers to use Google’s AI to optimise across all channels from one goal-based campaign. For Singapore and Malaysia businesses looking to scale leads or e-commerce revenue efficiently, understanding how to set up and optimise Performance Max campaigns correctly is critical.
This technical tutorial explains how Performance Max campaigns work, how to structure them properly, how to optimise them, and how to avoid common mistakes. Whether you run a B2B service company or an e-commerce store on Shopee or Lazada, this guide provides a complete framework.
Table of Contents
- What Are Performance Max Campaigns?
- How to Set Up Performance Max Campaigns
- Optimisation & Scaling Framework for Performance Max Campaigns
- Advanced Strategy: When to Split Campaigns
- Data, Benchmarks & Measurement
- Tools & Resources
- Case Study: B2B Service Company (Singapore)
- Common Mistakes to Avoid
- FAQs
- Conclusion & Next steps
What Are Performance Max Campaigns?
Performance Max campaigns are goal-based Google Ads campaigns that use machine learning to serve ads across all Google inventory automatically. Instead of keyword-only targeting, the system uses audience signals, intent data, behaviour patterns, and contextual signals to maximise conversions.
Unlike traditional Search campaigns, where you manually control keywords and match types, Performance Max campaigns rely heavily on automation. Your role shifts from micro-managing bids to providing strong inputs:
- Clear conversion tracking
- High-quality creative assets
- Structured asset groups
- Accurate audience signals
Why Performance Max Matters in 2026
Search behaviour is fragmented. Users discover brands via YouTube, Gmail promotions, Discover feeds, and Display placements before searching directly. Performance Max campaigns capture this multi-touch journey within one campaign.
For SMEs in Singapore, this reduces management complexity while expanding reach. For larger advertisers, it increases scalability through automation.
Key Takeaway Box:
Performance Max campaigns reward strong structure and clean data. The algorithm optimises performance, but only if the inputs are accurate and strategically organised.
How to Set Up Performance Max Campaigns
A correct setup determines long-term success. Many advertisers fail because they launch too quickly without strategic preparation.
Step 1: Set Up Conversion Tracking in GA4
Before launching Performance Max campaigns, ensure Google Analytics 4 (GA4) is properly installed and linked to Google Ads.
Track high-intent conversions such as:
- Lead form submissions
- Strategy call bookings
- E-commerce purchases
- WhatsApp clicks
- Add-to-cart events
Avoid tracking too many micro-conversions initially. Focus on meaningful actions that drive revenue.
Step 2: Choose the Right Bidding Strategy
Your bidding strategy should match your data maturity.
- Maximise Conversions: Best for new accounts with limited data
- Target CPA (Cost Per Acquisition): Use after 30+ conversions
- Target ROAS (Return on Ad Spend): Ideal for e-commerce
For Singapore SMEs, starting budgets typically range between SGD $30–$100 per day per campaign, depending on competition.
Avoid adjusting budgets during the first 14 days. The learning phase requires stability.
Step 3: Structure Asset Groups Strategically
Asset groups are the backbone of Performance Max campaigns. Each asset group should represent one audience theme or product category.
Examples:
- “B2B Digital Marketing Services”
- “E-commerce Growth Campaign”
- “AI Marketing Automation Solutions”
For each asset group, upload:
- 5–15 short headlines
- 5 long headlines
- 4 descriptions
- 1–5 images (square and landscape)
- At least one video (YouTube link preferred)
The system automatically mixes and matches assets to test combinations.
Step 4: Add Audience Signals
Audience signals guide the algorithm during the learning phase. They are not strict targeting filters.
Include:
- Website remarketing lists
- Customer match lists
- In-market audiences
- Custom segments based on competitor URLs
High-quality audience signals accelerate learning.
Optimisation & Scaling Framework for Performance Max Campaigns
Google Performance Max campaigns can be incredibly powerful when managed correctly. However, they require patience, consistent data collection, and a structured optimisation process. Unlike traditional campaigns where you control individual placements, Performance Max uses automation to distribute ads across multiple channels including Search, Display, YouTube, Gmail, and Discover.
Because of this automation, many advertisers expect immediate results and start making rapid changes when conversions do not appear right away. In reality, Performance Max performs best when it is given stable inputs and sufficient learning time.
Common Challenge: Low Initial Conversions
During the first one to two weeks, campaign performance can fluctuate significantly. The algorithm is still testing audiences, placements, and creative combinations to determine where conversions are most likely to occur.
A common mistake advertisers make during this phase is constantly adjusting budgets, changing bidding strategies, or replacing assets too quickly. These frequent changes reset the learning phase and make it harder for the campaign to stabilise.
Instead of reacting to short-term fluctuations, the focus should be on improving the quality of campaign inputs and allowing the algorithm time to learn.
The Smarter Approach: Optimise the Inputs
Rather than making frequent structural changes, successful advertisers focus on refining the elements that feed the campaign. High-quality inputs give Google’s algorithm better signals, which ultimately leads to stronger performance over time.
Key inputs include:
- High-quality creative assets
- Accurate audience signals
- Well-structured product feeds
- Strong landing pages
- Clear conversion tracking
When these inputs are strong, Performance Max campaigns tend to scale more efficiently and produce more stable results.
Step-by-Step Optimisation Process
Review Asset Performance
Creative assets play a significant role in how Performance Max delivers ads across different placements. Within the asset group report, Google categorises creative elements as “Best”, “Good”, or “Low” performing.
Assets marked as “Low” should be reviewed and replaced periodically, typically every 30 days, with new variations such as improved headlines, fresh images, or updated video content.
Consistently refreshing creative assets helps prevent ad fatigue and gives the algorithm additional combinations to test.
Refine Audience Signals
Audience signals guide the campaign toward users who are more likely to convert. While Performance Max can discover new audiences automatically, providing stronger initial signals can accelerate this process.
One effective tactic is to analyse converting search terms and add them to custom segments. This helps Google identify users who are actively researching products or services related to your offering.
You can also include website visitors, customer lists, and in-market audiences to further improve targeting accuracy.
Segment High-Margin Products
Not all products generate the same level of profit. If high-margin products are grouped together with lower-margin items, the campaign may prioritise the wrong products based solely on conversion likelihood.
To maintain better control over profitability, consider creating separate campaigns or asset groups for high-margin products or priority offers. This allows you to allocate budgets more strategically and optimise bidding toward the products that generate the most value.
Control Brand Traffic
Another common issue with Performance Max campaigns is inflated ROAS caused by branded search traffic. When users search specifically for your brand name, conversions are easier to achieve, which can artificially improve campaign performance metrics.
To maintain more accurate reporting, it is recommended to run separate branded Search campaigns. This ensures that Performance Max focuses on acquiring new customers and non-branded demand rather than capturing traffic that would likely convert anyway.
Analyse Search Insights
One of the most valuable features within Performance Max is the Search Insights report, which reveals the types of queries triggering your ads.
Regularly reviewing this report can uncover emerging search trends, new keyword opportunities, and shifts in consumer intent. These insights can then be used to improve landing pages, expand SEO content, or refine audience signals.
Over time, this data helps advertisers understand how customers are actually discovering their products or services.
Scaling Your Performance Max Campaigns
Once a campaign has achieved consistent performance and stable conversion data, scaling becomes much easier. At this stage, advertisers can gradually increase budgets, expand creative assets, and introduce additional audience signals.
Scaling should always be done incrementally rather than aggressively, allowing the algorithm to adapt without disrupting campaign performance.
Monitoring key metrics such as conversion volume, cost per acquisition, and revenue trends will help determine when a campaign is ready to scale further.
Pro Tip
Avoid running multiple campaigns that send traffic to the same landing pages or product feeds unless your advertising budget is substantial. Overlapping campaigns can compete with each other in auctions, which may lead to inefficient budget distribution and inconsistent results.
Instead, keep your campaign structure simple and focus on clear segmentation, strong creative assets, and consistent optimisation.
When managed strategically, Performance Max campaigns can become one of the most powerful tools for scaling online sales and lead generation across Google’s entire advertising ecosystem.
Advanced Strategy: When to Split Campaigns
As your campaigns generate more data and begin producing consistent results, segmentation becomes an important part of scaling performance. While starting with a simplified campaign structure helps the algorithm learn faster, growing accounts often benefit from strategic campaign separation.
Splitting campaigns allows advertisers to gain clearer insights into performance, allocate budgets more effectively, and prioritise products or audiences that generate the highest return.
Instead of treating all products, audiences, or markets the same, segmentation helps you focus your investment where it matters most.
When Campaign Splitting Becomes Necessary
Campaign segmentation is typically most useful once your campaigns have accumulated enough conversion data to identify clear performance trends. At this stage, separating campaigns can improve visibility into which segments are driving the best results.
Common ways to split campaigns include:
- Product Category
Different product categories often perform differently in terms of conversion rates, margins, and demand. Separating them into different campaigns allows you to tailor budgets, creatives, and bidding strategies for each category. - Customer Lifetime Value (CLV)
Some products may attract repeat buyers while others generate mostly one-time purchases. By segmenting campaigns based on customer value, you can prioritise customers who are more likely to produce long-term revenue. - Geographic Location
If your business operates across multiple regions, separating campaigns by market can provide better performance insights. For example, running separate campaigns for Singapore and Malaysia allows you to adjust budgets, messaging, and targeting based on local market behaviour. - Budget Allocation Tiers
High-performing products or services may deserve larger budgets. By splitting campaigns into priority, standard, and testing tiers, advertisers can ensure that the most profitable segments receive the majority of investment.
Example: Marketplace Performance Differences
In Southeast Asia, many e-commerce brands sell on multiple platforms such as Shopee and Lazada. While both marketplaces attract large audiences, performance can vary significantly depending on product category, pricing strategy, and competition.
For example, if products listed on Shopee consistently generate higher conversion rates than those on Lazada, separating product feeds and campaigns can provide more accurate performance tracking. This also allows advertisers to allocate budgets toward the marketplace delivering the strongest return on ad spend.
The Goal of Segmentation
The objective of splitting campaigns is not to make your account structure unnecessarily complex. Instead, it is about creating clear visibility and control over where your marketing budget is going.
When done strategically, segmentation helps advertisers:
- Identify high-performing products faster
- Allocate budgets more efficiently
- Improve reporting accuracy
- Scale profitable segments without affecting overall campaign performance
By gradually introducing segmentation as your campaigns grow, you can maintain a balance between automation efficiency and strategic control, which is essential for long-term campaign success.
Data & Benchmarks for 2026
Understanding industry benchmarks can help advertisers evaluate whether their campaigns are performing efficiently. Based on aggregated campaign data from small and medium-sized businesses (SMEs) across Southeast Asia, several key performance indicators provide useful reference points for 2026.
While results will always vary depending on industry, competition level, and campaign structure, these benchmarks give a general idea of what advertisers can expect when campaigns are properly optimised.
Average Campaign Performance Metrics
Across a wide range of industries, the following averages are commonly observed:
- Average Click-Through Rate (CTR): 3–6%
- Average Cost Per Click (CPC): SGD $1.50 – $4.00
- Average Conversion Rate: 2–5%
- Typical Learning Period: 10–14 days
The learning period is especially important for automated campaign types such as Performance Max. During this phase, the algorithm is collecting data, testing audience signals, and determining the most effective placements. Making frequent changes during this period can disrupt the learning process and delay campaign optimisation.
Impact of Complete Asset Uploads
Campaigns that include a full set of creative assets tend to perform significantly better than campaigns with minimal inputs. When advertisers provide multiple headlines, descriptions, images, and video assets, the algorithm has more combinations to test and optimise.
Based on campaign data, accounts that upload complete asset sets often experience:
- 20–35% higher conversion rates
- 15–25% lower cost per acquisition (CPA)
This improvement occurs because Google can match different asset combinations to different audiences and placements across Search, Display, YouTube, Gmail, and Discover.
Why Structure and Tracking Matter More Than Bids
One of the biggest misconceptions in digital advertising is that performance can be improved simply by adjusting bids or budgets. In reality, successful campaigns rely much more heavily on account structure, conversion tracking accuracy, and campaign inputs.
When conversion tracking is configured correctly and campaigns are structured logically, the algorithm receives better data signals. This allows automated bidding strategies to optimise toward meaningful outcomes such as purchases, leads, or revenue.
Frequent bid adjustments without improving campaign inputs often produce limited results.
Monitoring Performance with Clear Dashboards
To maintain consistent campaign performance, advertisers should regularly monitor key metrics using a clear reporting dashboard. The most important metrics to track include:
- Total conversions
- Cost per acquisition (CPA)
- Return on ad spend (ROAS)
- Conversion value
- Traffic quality indicators
A well-designed dashboard helps identify trends early and allows marketers to make data-driven decisions rather than reactive changes.
Ultimately, long-term success in paid advertising comes from strategic campaign structure, strong creative assets, and accurate performance tracking, rather than constant bid manipulation.
Reporting & KPI Framework
To properly evaluate Performance Max campaigns, it is important to measure results using both Google Ads and Google Analytics 4 (GA4). While Google Ads provides detailed campaign-level insights, GA4 helps you understand how users behave after they click on your ads.
Combining data from both platforms provides a clearer view of traffic quality, conversion performance, and overall marketing impact. This approach allows businesses to make more informed decisions rather than relying on a single metric.
A well-defined KPI framework also ensures that campaigns are optimised toward actual business outcomes, not just vanity metrics like clicks or impressions.
Core Metrics to Track
When analysing Performance Max campaigns, several core metrics should be monitored consistently. These indicators help determine whether campaigns are generating profitable results and scaling effectively.
Key metrics include:
- Cost Per Acquisition (CPA) – the average cost required to generate a conversion
- Return on Ad Spend (ROAS) – the revenue generated for every dollar spent on advertising
- Conversion Rate – the percentage of visitors who complete a desired action
- Impression Share – the percentage of available impressions your ads receive compared to competitors
- Asset Performance Rating – Google’s evaluation of creative assets such as headlines, images, and videos
Monitoring these metrics helps identify whether performance issues are caused by creative quality, targeting signals, or landing page effectiveness.
KPIs for Lead Generation Businesses
For companies focused on generating leads rather than direct online sales, success metrics should go beyond the initial conversion. The real value comes from understanding how those leads perform throughout the sales process.
Important metrics for lead generation businesses include:
- Cost per Qualified Lead – the cost required to acquire leads that meet sales criteria
- Lead-to-Close Conversion Rate – the percentage of leads that eventually become paying customers
- Revenue per Lead – the average revenue generated from each lead acquired through advertising
Tracking these metrics ensures that campaigns are optimised for lead quality rather than simply increasing lead volume.
KPIs for E-commerce Brands
E-commerce businesses require a slightly different set of performance indicators because revenue is generated directly through online transactions. In addition to standard advertising metrics, retailers should monitor purchasing behaviour and customer value.
Important e-commerce metrics include:
- Average Order Value (AOV) – the average amount spent per transaction
- Cart Abandonment Rate – the percentage of shoppers who add items to their cart but do not complete the purchase
- Revenue by Product Category – identifying which product groups generate the most sales and profit
Understanding these metrics allows brands to optimise product promotions, pricing strategies, and campaign segmentation.
Establishing a Review Schedule
One of the most common mistakes advertisers make is checking campaign performance too frequently. Daily fluctuations in performance are normal and often do not indicate meaningful trends.
Instead of analysing campaigns every day, a monthly review cadence tends to produce better strategic insights. This allows enough time for the algorithm to gather data and for optimisation changes to show measurable results.
During monthly reviews, advertisers should analyse overall performance trends, identify optimisation opportunities, and adjust campaign structure or budgets where necessary.
By focusing on structured reporting and meaningful KPIs, businesses can ensure that Performance Max campaigns remain aligned with long-term growth objectives rather than short-term fluctuations.
Recommended Tools
Running successful Performance Max campaigns requires more than just launching ads. Advertisers also need the right tools to monitor performance, understand user behaviour, and optimise campaigns effectively.
Using a combination of analytics, tracking, creative, and research tools allows marketers to make data-driven decisions rather than relying on guesswork. These tools help identify optimisation opportunities, improve targeting signals, and ensure campaigns are aligned with business goals.
Below are some of the most useful tools for managing and scaling Performance Max campaigns.
Google Analytics 4 (GA4)
Google Analytics 4 is essential for understanding what happens after users click on your ads. While Google Ads tracks conversions, GA4 provides deeper insights into user behaviour, conversion paths, and funnel performance.
With GA4, marketers can analyse:
- Traffic sources and user engagement
- Conversion journeys across multiple sessions
- Drop-off points within the sales funnel
- Revenue attribution across different channels
These insights help advertisers identify where potential customers lose interest and where improvements can increase conversion rates.
Google Tag Manager
Accurate tracking is critical for campaign optimisation, and Google Tag Manager makes it easier to manage tracking scripts without constantly editing website code.
With Google Tag Manager, businesses can implement and manage:
- Conversion tracking tags
- Event tracking for button clicks and form submissions
- Scroll depth and engagement tracking
- Remarketing pixels
By improving event tracking precision, advertisers ensure that their campaigns are optimised using reliable data signals.
Ahrefs or SEMrush
SEO and search data can significantly improve audience signals for Performance Max campaigns. Tools like Ahrefs and SEMrush provide valuable keyword insights that reveal what potential customers are actively searching for online.
These insights can be used to:
- Discover high-intent keywords
- Build custom audience segments
- Improve landing page content
- Identify emerging search trends
When used strategically, keyword research tools help align advertising campaigns with real search demand.
Canva Pro
Creative assets play a major role in Performance Max campaign performance. Canva Pro is a popular design tool that allows marketers to quickly create professional ad creatives without needing advanced design skills.
Using Canva Pro, teams can develop:
- Display ad images
- Social media creatives
- Product promotion graphics
- Video snippets for YouTube placements
Providing multiple creative variations helps the algorithm test different combinations and identify the most effective messaging.
Microsoft Clarity or Hotjar
Understanding how visitors interact with your website is crucial for improving conversion rates. Tools like Microsoft Clarity and Hotjar provide behavioural insights that show how users navigate your landing pages.
These tools offer features such as:
- Heatmaps showing where users click and scroll
- Session recordings to observe user behaviour
- Funnel analysis to identify drop-off points
- Feedback tools to gather user insights
By analysing this data, businesses can refine landing pages and remove friction points that prevent users from completing conversions.
Product Feed Optimisation for E-commerce
For e-commerce businesses running Performance Max campaigns, the quality of the product feed is just as important as the campaign setup itself.
Product feeds should always include accurate titles, detailed descriptions, competitive pricing, and high-quality images. Optimised product feeds help Google better understand your products and match them to relevant search queries.
Well-structured feeds also improve product visibility across Google Shopping, Search, and other automated placements, which can significantly increase conversion opportunities.
By combining strong campaign management with the right set of tools, advertisers can build a more efficient, scalable, and data-driven advertising strategy.
Case Study: B2B Service Company (Singapore)
Client: B2B Digital Services Firm based in Singapore
The Challenge
The client had been relying heavily on traditional Google Search campaigns to generate leads. While the campaigns were producing some conversions, the cost per click (CPC) had become increasingly expensive, and the lead volume was inconsistent.
Because their strategy focused mainly on Search traffic, the company had limited exposure across other Google channels such as YouTube, Display, and Discover. This meant they were missing opportunities to reach potential clients earlier in the buying journey.
The goal was to expand their reach across multiple platforms while maintaining a controlled cost per acquisition (CPA).
The Strategy
To address these challenges, we implemented a structured Performance Max campaign framework designed to increase visibility across Google’s full advertising ecosystem.
The campaign structure included:
- Three asset groups organised by service category, allowing the algorithm to optimise messaging and targeting for each specific service offering
- Audience signals built using competitor website URLs, helping the campaign identify users researching similar services
- Educational video creatives explaining the client’s services and key benefits, which improved engagement across YouTube and Display placements
- Target CPA bidding strategy, activated after the campaign reached approximately 40 conversions to provide enough data for optimisation
This structured approach allowed the campaign to capture demand across multiple stages of the buyer journey — from early awareness to high-intent searches.
The Results After 90 Days
Within three months, the campaign delivered strong improvements across several key performance metrics:
- 32% lower cost per acquisition (CPA)
- 41% increase in lead volume
- 27% higher conversion rate
- 18% reduction in wasted ad spend
By allowing Google’s automation to distribute ads across multiple channels while maintaining strong audience signals and creative assets, the campaign was able to expand reach without increasing the overall advertising budget.
This case demonstrates how Performance Max campaigns can help B2B companies generate more leads by combining cross-channel exposure, structured campaign inputs, and data-driven optimisation.
Common Mistakes to Avoid
Performance Max campaigns can deliver excellent results when configured correctly. However, many advertisers struggle because of a few common setup and optimisation mistakes.
Since Performance Max relies heavily on automation, poor inputs or weak campaign structures can significantly affect performance. In many cases, campaigns fail not because of the platform itself, but because of insufficient data, weak creative assets, or poor landing page experience.
Understanding these common pitfalls can help advertisers avoid unnecessary budget waste and improve campaign results faster.
Launching Without Proper Conversion Tracking
One of the most critical mistakes is launching campaigns without accurate conversion tracking in place.
Performance Max campaigns rely heavily on conversion data to optimise bidding and targeting. If conversion tracking is missing or incorrectly configured, the algorithm will struggle to identify which users are most likely to convert.
Before launching any campaign, ensure that key events such as purchases, form submissions, or qualified leads are properly tracked using tools like Google Analytics 4 and Google Tag Manager.
Uploading Too Few Creative Assets
Another common issue is providing only a small number of creative assets. Performance Max campaigns work best when advertisers upload multiple headlines, descriptions, images, and videos.
When the campaign has access to a larger variety of assets, the system can test different combinations and determine which messages perform best across different placements such as Search, Display, and YouTube.
Campaigns with limited creative assets restrict the algorithm’s ability to optimise effectively.
Making Frequent Budget Changes
Many advertisers become impatient during the early stages of a campaign and begin adjusting budgets frequently. While this may seem like a proactive approach, frequent budget changes can disrupt the campaign’s learning process.
Performance Max campaigns need time to collect data and stabilise. Making constant adjustments can reset optimisation signals and delay meaningful performance improvements.
Instead of daily adjustments, it is generally more effective to review performance trends on a weekly or monthly basis.
Ignoring Landing Page Optimisation
Even the best-performing ads cannot compensate for a poor landing page experience. If visitors arrive on a page that loads slowly, lacks clear messaging, or makes it difficult to complete a purchase or inquiry, conversion rates will suffer.
Landing pages should always be optimised for:
- Fast loading speed
- Clear value propositions
- Strong calls-to-action
- Mobile-friendly design
- Trust signals such as testimonials or guarantees
Improving landing page quality often produces some of the biggest gains in campaign performance.
Mixing Too Many Product Categories in One Campaign
For e-commerce businesses, placing too many unrelated product categories into a single campaign can make optimisation difficult.
Different product types may have different profit margins, target audiences, and conversion rates. Combining them all into one campaign can limit your ability to understand which categories are truly performing well.
Instead, advertisers should organise campaigns or asset groups around logical product segments.
Performance Max Amplifies Strengths and Weaknesses
It is important to remember that Performance Max campaigns act as a multiplier for your existing marketing foundation.
If your website, product feeds, and creative assets are strong, the campaign can scale results effectively. However, if these elements are weak, the automation will simply amplify those weaknesses.
For this reason, advertisers should focus on building strong campaign inputs, accurate tracking, and high-quality landing pages before expecting strong results from automation.
FAQs
Q: Are Performance Max campaigns suitable for small budgets?
A: Yes, but learning may take longer with limited data.
Q: Should I pause my Search campaigns?
A: Keep brand and high-intent campaigns separate for better control.
Q: How long before results stabilise?
A: Typically 2–4 weeks, depending on conversion volume.
Q: Can I see all triggered keywords?
A: Google provides search insights, but transparency is limited compared to standard Search campaigns.
Conclusion
Performance Max campaigns in 2026 have become one of the most powerful ways to run advertising across Google’s entire ecosystem. With AI-driven automation, businesses can reach potential customers across Search, Display, YouTube, Gmail, and Discover from a single campaign.
However, success with Performance Max doesn’t come from automation alone. The strongest results happen when campaigns are built on a solid foundation of accurate conversion tracking, strong creative assets, clear campaign structure, and consistent optimisation.
When these elements are in place, businesses can scale advertising more efficiently, reduce cost per acquisition, and increase overall return on ad spend.
For companies operating in competitive markets like Singapore and Malaysia, adopting a structured Performance Max strategy can create a strong advantage over competitors who rely only on traditional Search campaigns.
Next Steps
If you want to improve the performance of your Google Ads campaigns, start with these simple steps:
- Review your current Google Ads account structure and identify opportunities to simplify or segment campaigns more effectively.
- Verify that conversion tracking is accurate, including Google Ads and GA4 event tracking.
- Implement a properly structured Performance Max campaign with clear audience signals and high-quality creative assets.
Small structural improvements can often lead to significant performance gains over time.
Free Performance Max Campaign Audit
Not sure if your campaigns are set up correctly?
Our team can review your Google Ads account and identify opportunities to reduce wasted ad spend, improve targeting signals, and increase conversions.
Your free audit includes:
✔ Campaign structure review
✔ Conversion tracking verification
✔ Creative asset performance analysis
✔ Recommendations to improve CPA and ROAS
👉 Book Your Free Performance Max Campaign Audit
