Implementing call tracking specifically for Performance Max (PMax) campaigns. PMax is notoriously difficult to optimize because of how little visibility it gives into specific channel or asset performance. Without clear attribution, it's hard to know what's actually driving results especially for service-based businesses where most conversions happen over the phone. Adding call tracking gave us the missing data to optimize faster. Instead of guessing which creative or audience signals were working, we could tie revenue back to actual calls. This turned PMax from a black box into a dial we could actually control. https://imagekit.io/tools/asset-public-link?detail=%7B%22name%22%3A%22call%20tracker.png%22%2C%22type%22%3A%22image%2Fpng%22%2C%22signedurl_expire%22%3A%222028-04-06T03%3A58%3A01.619Z%22%2C%22signedUrl%22%3A%22https%3A%2F%2Fmedia-hosting.imagekit.io%2Fbefa65eba35b407c%2Fcall%2520tracker.png%3FExpires%3D1838606282%26Key-Pair-Id%3DK2ZIVPTIP2VGHC%26Signature%3DwruxMtKG9ajYA~lTVCWI-NTyE1t6-S~EwdwtPnihmuRkxPzViV9tjvXpfViU0bEYOK-w7U8qz9KSGNjN0BeikEXf0uNE-8TyAT9WFMPnXWxugkRkT9f2Wz4MiOdozMxUneIYaePVQqT2XM8Flr2FvPACpLt-BNxc02rHHHvbU86GaZkdDgf1jfJuEJqN8MhHHRbmyIocWlDMQlRVYXWRMvU5PeXaJhOgINmut-yZC79OrjiwXdMPgRsWV4paKaYRC-jCFAjQxTVFa3R1VaV2~VIJV2Zk5LgmVPTjE7LIy7Mj8a2pWUqppAH4uDZABff6MfABzzO2HTqwOo7weM7Caw__%22%7D
One strategy that helped boost ROAS fast was tightening the keyword-to-landing page match. Instead of sending all traffic to a general page, I created ad-specific landing pages with one clear CTA and keywords reflected in the copy. That cut the fluff and raised conversion rates--like in the example here where one ad hit 11.76%. That's more than double what we were seeing before. Here's what made the difference: - Built a clean landing page for each product set. - Used the same keywords from the ads in headlines and first paragraph. - Trimmed the form fields--name, email, that's it. I can't share a live ad link (client privacy), but here is the screenshot: https://monosnap.com/file/waD7zBTNf5U8m8g5sRYPFQ9W0Tm89v. That third row is the one with the tailored page. Small shift, big lift.
ne of the most effective Google Ads optimization strategies we've used to achieve a higher ROAS is segmenting campaigns by region. In a recent engagement with a national e-commerce brand, we were tasked with hitting an aggressive 8x ROAS target while still giving their full product catalog room to perform. Rather than limiting the campaign to top-selling products or shrinking targeting, we took a different approach: we divided the U.S. into performance-based regional tiers. This allowed us to: -Allocate more budget to high-performing regions, -Reduce spend in areas where ROAS was consistently lower, -And run localized tests to identify new growth opportunities without risking overall efficiency. Combined with a full-catalog strategy and separate Shopping vs. Search campaign structures, this regional segmentation gave us the control and flexibility we needed to scale intelligently. The result? -8x ROAS on non-branded campaigns -A high volume of new, profitable customers -A campaign structure that continues to support catalog expansion Here is a link to the case study that has the peformance graphic. https://www.adalystic.com/case-studies/driving-8x-roas
Our strategy is simple...we always add the current year to our headlines. So, if someone searches "child care business plan" for example, our ad will say "2025 Child Care Business Plan." Since we update our software monthly, the ad headline is true, and it tells prospective customers that we are up to date. Mid-December every year we change the date in our ads to reflect the upcoming year. We have found that having the current year in our ads (since not all of our ads have it since Google Ads constantly serves different variations) increase both our CTR and ROAS. Here is a screenshot example: https://drive.google.com/file/d/1ULmmcJvKqFYpZpNmbPreUhosr7OK-GlN/view?usp=sharing
We pulled a 31x ROAS in one of the strongest weeks after rebuilding a trailer company's Google Ads account. We split every trailer model into its own Performance Max campaign. Food trailers in one. Car trailers in another. Same for box trailers, cattle trailers, and so on. Inside each campaign, I set up multiple asset groups based on different audience signals. Some were tied to search terms, so Google had clear intent. Others targeted in-market segments like tradies, contractors, and renovators. That gave Google clean inputs to optimise against instead of trying to figure it out from one big mess. It took around 40 days to really kick in. After that, some weeks hit 31x ROAS. Others were 25x, 12x. The trailers had high price points, so that helped. But the lift came from how we structured it. Here's the screenshot from one of those weeks: https://josiahroche.co/wp-content/uploads/2024/11/xtreme02.webp Other weeks we hit around an 8x ROAS on average: https://josiahroche.co/wp-content/uploads/2024/11/xtreme03.webp Sorry for the cheesy marketing screenshots here: https://josiahroche.co/wp-content/uploads/2024/11/xtreme01.webp
Visual of advertisement: https://www.dropbox.com/scl/fi/yv5yqb5vwmlfx6s8p048z/google-ads-tool-kit-1200x628.png?rlkey=vqbm4yxz8tqpx8kb7tiew5qkp&dl=0 One Google Ads optimization strategy that significantly improved our ROAS was aligning ad creative with a key user motivation: earning passive income from stuff they already own. In our case, we focused on showcasing a toolset--something that most people have tucked away at home, barely used, yet highly valuable to others when needed. We created a simple, visually clean ad with the headline: "Rent out, earn money!" and a direct benefit callout: "Earn per day: $10." This approach taps into the core desire of our target audience--making easy, passive income without a startup budget or added effort. What made the ad especially effective was how relatable the product is. A toolbox isn't flashy, but it's exactly the kind of item that's perfect for lending--people only need it occasionally, and many already have one gathering dust in storage. By highlighting that value, the ad resonated deeply. This strategy taught us that the best-performing ads aren't always about the product itself--it's about what the product unlocks for the user. In our case, that's extra income, less waste, and stronger local connections.
One Google Ads optimization strategy that has consistently helped us achieve a higher ROAS for our clients is combining high-intent keywords with smart audience layering, specifically targeting warm audiences like website visitors or past converters while bidding on commercial keywords. For example, we worked with an e-commerce client in the fashion niche struggling with high CPCs but low conversion rates on generic search campaigns. Instead of broad targeting, we created a custom audience segment of users who had either: Viewed product pages Added to cart but didn't purchase Engaged with their brand on social channels We then layered this audience on top of their existing high-intent keywords like "buy luxury handbags online" or "designer handbags in Canada" but increased bids only for this warm segment. Results after 30 days: - ROAS increased from 2.8x to 5.1x - Cost per conversion dropped by 35% - The client was able to re-invest the saved budget into higher-margin products This approach works because it combines purchase intent and brand familiarity, two of the strongest signals in PPC performance. It avoids wasting the budget on cold traffic that may not be ready to convert while maximizing the value of users already in the funnel. For businesses with limited budgets, this is a game-changer.
One Google Ads optimization strategy that's been a game-changer for boosting ROAS is implementing Target ROAS (tROAS) bidding with tightly segmented campaigns based on product performance. This leverages Google's AI to adjust bids in real-time, prioritizing high-value conversions while keeping costs aligned with revenue goals. For my website, which promotes tech and real estate solutions, this approach has delivered serious returns by focusing ad spend on what's actually driving profit. Specific Example: I was running a campaign for a real estate lead-gen tool, targeting keywords like "sell my house fast" and "real estate investor software." Initially, I used a Maximize Conversions strategy, but it was burning budget on low-quality clicks--think tire-kickers, not serious sellers. I switched to tROAS, setting a 400% target (aiming for $4 revenue per $1 spent), and split the campaign into two groups: high-margin products (like premium CRM subscriptions) and lower-margin ones (like basic lead forms). I assigned higher ROAS targets to the premium group (500%) and lower ones to the basic group (300%), based on their average order values. The results? Within a month, the premium campaign's ROAS jumped from 250% to 520%, generating $10,400 in revenue from a $2,000 spend, compared to $5,000 revenue before. The lower-margin campaign held steady at 310%, but because it was segmented, it didn't eat into the high-performers' budget. Overall, the account's ROAS climbed 35%, and I cut wasted clicks by 20% since the AI avoided low-value searches like "free real estate tools." The key was feeding Google clean data--accurate conversion values from my CRM--and giving it 15+ conversions monthly to optimize effectively.
I've recently consulted an Australian eCommerce brand in the beauty space to help them scale their Google Ads performance and achieve a higher return on ad spend (ROAS). One key optimization strategy that made a significant impact was segmenting Performance Max campaigns based on customer behavior insights and top-performing products. After a deep dive into the product-level performance reports over an extended period, we identified a handful of SKUs that consistently drove the majority of revenue. That insight formed the foundation for a strategic account restructure. Here's what we did: 1. Optimized the Brand Search campaign to capture high-intent traffic more efficiently. 2. Segmented Performance Max campaigns. We created dedicated campaigns for top-selling products. For some, we used only feed data and applied a Target ROAS strategy. For others, we enriched the campaign with custom visuals, authentic brand messaging, and switched to a Maximize Conversion Value bidding strategy. 3. Launched a Remarketing campaign fueled by a large, detailed customer list and retail audience segments, helping us reconnect with high-value prospects. By combining these changes with ongoing performance monitoring and leveraging the client's strong understanding of the Australian beauty market, we saw remarkable results. ROAS increased by more than 200% shortly after implementation, and over the past three months, it has remained stable between 500-750%. Screenshot from the ads account: https://drive.google.com/drive/folders/1BM2iLJzFq5A6P_K5wiqh1C8cxCym1Ojg
One Google Ads optimization strategy that dramatically improved ROAS for our senior living clients was implementing highly personalized ad messaging that directly addresses decision-maker pain points. For example, we created ad variations targeting adult children of seniors with copy like "Safe Memory Care Solutions While You're Away" which increased CTR by 23% compared to generic messaging about amenities. The magic happens when you combine this targeted messaging with proper audience segmentation. We saw a 40% decrease in cost per lead (from industry average $400+ to just $70) by creating separate campaigns for different personas - one targeting seniors themselves and another for adult children aged 45-65 who are often the researchers and decision makers. In one specific campaign for a memory care facility, we retargeted website visitors who had viewed the "Memory Care" page with ads featuring testimonials from adult children who had gone through the same difficult decision process. This approach decreased our cost per move-in from $4,300 to $2,300 and shortened the sales cycle significantly - 36% of these leads converted within 90 days compared to just 13% of leads from referral sources. The most overlooked element is conversion tracking precision. We implemented Google Tag Manager setups that tracked not just form fills but also tracked phone calls and tour bookings, allowing us to attribute leads to specific ad variations. This data-driven approach led to continuous improvement through A/B testing, ultimately generating $1.5M+ in additional revenue for communities within twelve months.
VP of Demand Generation & Marketing at Thrive Internet Marketing Agency
Answered a year ago
Implement single keyword ad groups (SKAGs) for your highest-value products to dramatically improve quality scores and lower cost-per-acquisition. When we restructured a client's Google Ads account using this hyper-focused approach, we saw their ROAS increase from 3.5x to 6.2x within just 45 days. The magic happens because SKAGs create perfect alignment between search term, keyword, ad copy, and landing page--signaling to Google that your ad provides exactly what searchers want. I've found that most accounts waste budget on broadly targeted campaigns when surgical precision would deliver better results. At Thrive, we recently transformed an e-commerce client's account by creating dedicated SKAGs for their top 20 products, writing highly specific ad copy that incorporated exact search terms. While most marketers distribute budget evenly, we've learned to allocate at least 60% toward your proven winners rather than trying to make underperforming keywords work. Remember that Google rewards relevance above all else--when every element of your campaign speaks directly to the searcher's intent, both click-through rates and conversion rates naturally improve.
One Google Ads optimization strategy that dramatically improved ROAS for our clients was implementing hyper-specific landing page alignment with search intent. For a local plumbing client, we noticed their emergency service ads were directing all traffic to their general homepage, which featured various services including scheduled maintenance and installations. Although the campaign was generating clicks, conversion rates hovered around 2%. Our solution was creating dedicated emergency service landing pages that matched exactly what users were searching for. When someone searched "emergency plumber near me" at 10pm, they landed on a page focused entirely on 24/7 emergency services with prominent phone numbers, rapid response messaging, and simplified contact forms. The results were immediate and significant. Conversion rates jumped to 11.2% while the cost per lead dropped by 58%. We achieved a 340% improvement in ROAS within the first month by simply ensuring the post-click experience aligned perfectly with the search intent. The key insight was understanding that emergency service seekers have fundamentally different needs than someone planning a bathroom renovation. They don't want to navigate through a website--they need immediate solutions and direct contact options. By removing friction and aligning content exactly with intent, we dramatically improved campaign performance without increasing ad spend.
Running high-ROAS campaigns starts with ruthless control over intent. One strategy that consistently outperforms is isolating match types into separate campaigns--exact, phrase, and broad. We structure accounts so each campaign targets a distinct level of buyer intent. Then we tailor bidding, budgets, and messaging around it. When we implemented this for a lead-gen client in financial services, ROAS increased from 2.8 to 5.9 within five weeks. Exact match targets high-intent queries and pairs well with conversion-focused landing pages. Phrase match captures mid-funnel users where messaging tests can influence outcomes. The broad match runs with strict audience layering and daily search term reviews to reduce wasted spend. Converting terms are pulled out and promoted into phrases or exact campaigns, keeping performance clean and scalable. Advertisers often mix match types in the same campaign, which makes tracking and optimization harder. Separating match types reveals where profit lives and where budget leaks. One phrase match campaign we rebuilt under this structure cut acquisition costs while improving lead quality. No change to offer, just structural clarity. This approach gives control, speed, and clear performance signals. It eliminates guesswork and drives measurable results.
Here's the Google Ads hack that took a home decor client from 2.8x to 5.5x ROAS in 45 days - daypart hyper-targeting layered with geo-conquesting: We discovered through search query analysis that competitors' physical stores drove 68% of "luxury throw pillows" searches in specific ZIP codes. Using Google's location bid adjustments, we: Bid 150% during peak in-store hours (10am-2pm Sat/Sun) within 5 miles of West Elm/Crate & Barrel stores Ran ads with copy: "Skip the Mall Crowds - Same Luxury, Delivered Today" featuring local landmarks Used Seller Ratings extensions pulling Etsy reviews (4.9 vs competitors' 4.3) The result? 22% CTR (vs. 7% industry avg) and 63% conversion rate from geo-targeted users. The secret sauce? We exploited shoppers' post-store visit frustration - analytics showed 41% converted between 2:15-3pm after leaving physical stores empty-handed. While I can't share the actual ad, replicate this by: Cross-referencing competitors' GMB "popular times" with your ad schedule Using local slang in copy ("Avoid the 405 Traffic" in LA campaigns) Adding "Open until 10pm" sitewide tags for late-night urgency This works because Google's store visit conversions now factor into online quality scores - your ads become the digital extension consumers wish physical stores had.
One Google Ads strategy that dramatically improved ROAS for our medical clients was implementing negative keyword sculpting across ad groups. For a plastic surgery client, we identified 215 irrelevant search terms triggering their ads (like "plastic surgery disasters" and "celebrity plastic surgery"), and moved these to negative keywords. This reduced wasted spend by 27% and invreased conversion rate by 14% within three weeks. I'm also obsessive about ad extension optimization. For a medical spa client, we A/B tested different callout extensions highlighting their unique benefits ("Med Director On-Site" vs "15+ Years Experience"). The winning combinations drove 23% more qualified leads at a 19% lower cost-per-acquisition. The hidden gem most marketers miss? Dayparting based on call center capacity. We finded one practice was spending thousands on ads during hours when their booking staff was overwhelmed. By shifting budget to times when they could actually answer phones, their appointment rate jumped 31% without increasing total ad spend. Would love to share screenshots but would need client permission first. If you're interested in the specific data visualization we used to identify the performance patterns, DM me and I'll see what I can share while respecting privacy.
Segmented remarketing based on cart value tiers: One Google Ads optimization strategy that's significantly improved return on ad spend (ROAS) for my agency and clients is segmented remarketing based on cart value tiers. Rather than using a single remarketing list for all abandoned carts, we segment audiences based on the value of the products left in their cart. This allows us to tailor ad messaging, creative, and offers according to the user's intent and purchasing power. Example: Luxury Beauty eCommerce Brand For one of our high-volume eCommerce clients in the beauty space, we implemented a three-tier cart segmentation strategy: Tier 1: Cart value under $50 - No discount, just urgency and social proof. Tier 2: $51-$150 - Included a 10% discount incentive. Tier 3: $151+ - Offered 15% off with premium, luxury-themed ad creative and messaging. Each audience was served a separate remarketing campaign with matching copy and creative. In addition, we created customized landing pages aligned with the ad messaging for a seamless user experience. The Results: Overall ROAS increased by 42% across all tiers. Tier 3 campaigns saw the most dramatic lift, growing from 2.6X to 3.9X ROAS. Cost per acquisition (CPA) decreased by 18% on average. Abandoned cart recovery rates significantly improved. This strategy not only optimized ad performance but also created a more personalized customer journey, especially for high-value shoppers who expect a tailored experience.
One Google Ads optimization strategy that has significantly boosted our ROAS at Evergreen Results is leveraging audience segmentation combined with dynamic ad creative. I noticed a food brand client wasn't reaching its potential due to outdated campaign structures, so we redefined their ideal customer profiles and custom ads accordingly. In one instance, after restructuring the account to better target defined customer groups, we saw ROAS improve dramatically—achieving a consistent 5x-10x increase over industry benchmarks. By depliying custom ad messages and dynamic creatives aligned with distinct audience interests, we created a more resonant consumer journey that led to improved engagement and profitability. Consider developing specific messaging and creatives custom for segmented customer profiles and watching your campaign metrics, such as CTR and conversion rates, to iterate and refine for optimal results. This approach not only improved ad relevance but also fortified brand connection with potential customers, driving sustained revenue growth.
One strategy that gave us a solid ROAS boost was switching from broad match to phrase match but pairing it with smart negative keyword mining every 3-4 days. We were running Google Ads for a client in the fitness gear niche, and broad match was wasting budget on super irrelevant terms (like gym memberships or workout apps). We switched to phrase match and aggressively trimmed out anything that didn't bring qualified traffic. ROAS jumped from 2.6x to 4.1x in under a month. We also started using custom audiences built from high-intent visitors--people who added to cart but didn't buy--then ran search ads targeting similar terms but tailored the copy like "Still Thinking About [Product]?" That alone drove a 19% higher conversion rate. No fancy automation tricks--just tight match types, cleaner audience logic, and not being lazy with search terms. Simple stuff, but most people overlook it.
One Google Ads optimization strategy that significantly increased my ROAS was the implementation of precise audience segmentation. By identifying and targeting high-converting customer personas, I was able to tailor ad messaging and bids to their specific preferences and behaviors. For instance, during a campaign for Shewin, I analyzed data to uncover that young professionals aged 25-34 were more likely to purchase our trendy office wear. I then customized ad copy and visual creatives to align with their tastes, which led to a 35% increase in conversions. Moreover, using Google Analytics, I engaged remarketing lists to recapture potential customers who had previously shown interest, resulting in a 40% increase in sales from this group alone. This targeted approach not only improved our campaign's effectiveness but drastically enhanced our overall ROAS. Unfortunately, I cannot share the specific ad creatives or screenshots due to privacy policies, but I'm happy to describe the strategy further if needed. Feel free to reach out for more detailed insights!
One Google Ads optimization strategy I've found incredibly effective is integrating anonymous visitor tracking with our PPC strategy. As the founder of RED27Creative, specializing in conversion optimization and digital marketing, I used cutting-edge tools to identify previously unknown site visitors. We redirected these leads into our remarketing lists, significantly enhancing targeting precision. For instance, utilizing these insights, we custom ads and landing pages based on user behavior, improving relevance. In one campaign, this approach increased click-through rates by 35% and lifted return on ad spend (ROAS) by 40% over three months. By aligning ad creative closely with user interest, we were able to maximize engagement and drive more revenue from existing traffic. To replicate this strategy, focus on analyzing your audience's behaviors and use analytics to refine your targeting parameters. Remarketing to previously anonymous visitors with customized ad creatives has proven to be a game-changer in maximizing ad spend efficiency and conversion rates.