Most businesses waste 30 to 40 percent of their paid ad budget on clicks that never convert. In a competitive market like Perth, where efficiency is paramount, this wastage represents a significant missed opportunity for revenue generation. The issue rarely lies with the platforms themselves; both Google and LinkedIn are capable of delivering high-quality traffic. Instead, the problem stems from how campaigns are structured, tracked, and optimised for the specific intent of the user.
Managing paid ads across Google and LinkedIn requires distinct methodologies because the platforms serve fundamentally different user behaviours. Google captures active demand, which refers to individuals actively searching for specific solutions. LinkedIn targets professional intent, focusing on decision-makers identified by their job role, industry, and company size. High-performing digital systems ensure these platforms operate as a unified engine rather than isolated experiments.
Experience across hundreds of campaigns shows a consistent pattern. Businesses that apply a “one-size-fits-all” approach to both platforms often struggle with high costs. Conversely, those that tailor their strategy to each platform’s unique strengths tend to see a marked decrease in cost-per-lead within the first 90 days.
Google Ads and LinkedIn Ads are not interchangeable. They target users at different stages of awareness and with different intent signals. Understanding this distinction is the foundation of any effective situation analysis conducted by 10XR.
Google Ads is built for bottom-of-funnel targeting. A user searching “commercial solar Perth” or “HR software for small business” has identified a need and is actively looking for a provider. In this environment, your ad must be immediate and highly relevant. If the copy does not directly address the search query, the user will move to the next result. The platform operates on a pull-marketing model where the consumer initiates the interaction.
LinkedIn Ads excels at top and middle-of-funnel targeting. You are not waiting for a search to occur; you are proactively reaching specific job titles or industries with content that builds awareness or demonstrates authority. A CFO at a large manufacturing firm may not be searching for consultancy services every day, but they are likely to engage with a well-researched insight about operational efficiency. This is a push-marketing model where you interrupt the user’s professional consumption with relevant, high-value information.
The most common error is running identical creative across both platforms. A direct “Get a Quote” message works on Google because the intent is already there. On LinkedIn, that same message often fails because the user is in a professional browsing mindset, not a shopping mindset. Aligning creative with user intent allows for strategic insights that unlock sustained revenue growth.
Campaign structure determines how much control you have over budget allocation and testing. A cluttered account makes it impossible to identify which keywords or audiences are driving actual business value. Proper segmentation allows for more granular bidding and messaging.
For Google Ads, it is best practice to segment campaigns by intent level:
Within these campaigns, using single keyword ad groups (SKAGs) allows for hyper-relevant ad copy. When the ad group contains only one keyword, the ad copy can mirror that keyword exactly, which improves Quality Score and reduces the amount you pay for every click. This technical precision is what separates high-performing accounts from those that rely on broad, unoptimised clusters.
For LinkedIn Ads, structure should be defined by audience segments:
LinkedIn’s audience sizes are generally smaller than Google’s. Over-segmenting can fragment your budget and prevent the algorithm from gathering enough data to optimise effectively. Finding the balance between precision and scale is critical. Smaller segments require higher bids to win the auction, so consolidating audiences once a clear winner is identified can help stabilize costs.
The targeting mechanisms of Google and LinkedIn are fundamentally different. Success depends on balancing highly specific targeting with enough volume to be statistically significant.
In Google Ads, targeting relies heavily on keywords and negative keyword lists. The goal is to reach the right person at the exact moment they are looking for a solution.
LinkedIn’s targeting is demographic and firmographic, allowing you to build an Ideal Customer Profile (ICP) within the platform.
LinkedIn requires a minimum audience size of 300 to run Sponsored Content. If targeting is too narrow, the ad simply will not serve. For most B2B campaigns, an audience size between 2,000 and 10,000 is the recommended starting point for effective data-driven results.
Because user behaviour differs between search engines and social networks, ad creative must be adapted accordingly. Google search ads should be direct and outcome-oriented.
LinkedIn ads should focus on value and professional education. 10XR views ad creative as a way to establish a growth partnership with a prospect before the first conversation even happens. This involves demonstrating expertise rather than just claiming it.
A case study approach on LinkedIn, showing how a specific challenge was solved, typically generates significantly higher engagement than a standard sales pitch. Video testimonials or carousel ads that walk through a problem-solution framework are particularly effective at building the trust necessary for long-cycle B2B decisions.
Effective management is impossible without accurate data. Tracking must go beyond simple clicks to measure the actions that actually impact the bottom line. Accurate systems ensure you can live closed-loop marketing reporting to see the real path to purchase from first touch to final sale.
A robust tracking setup includes:
In B2B sectors with long sales cycles, last-click attribution is often misleading. A prospect may see three LinkedIn ads over a month before finally searching your brand on Google and converting. If you only look at Google, you might conclude that LinkedIn is not working. Understanding this assisted conversion path is essential for accurate budget allocation. Data shows that LinkedIn leads are often more expensive initially but frequently have a higher conversion rate from lead-to-sale because the targeting is so precise.
Budgeting should be dictated by where your audience is most active and how they search. At the start of a campaign, a split budget is often the most effective way to gather data. You should allocate funds based on the probability of conversion.
Bidding strategies should evolve as the campaign matures. Starting with manual bidding allows you to control costs while the system gathers data. Once you have a steady stream of conversions, switching to automated strategies such as “Maximise Conversions” or “Target CPA” allows the platform’s AI to find more people likely to convert.
On LinkedIn, “Maximum Delivery” is often the best way to spend your budget and gather initial data, but as you identify high-performing segments, switching to manual bidding or cost caps can prevent the platform from overspending on low-value impressions. Consistency is key; large budget fluctuations can reset the algorithm’s learning phase, leading to volatile performance.
Paid ads are not a set-and-forget solution. They require constant monitoring to stay ahead of competition and changing user trends. An account that is not checked for two weeks will almost certainly see a rise in cost-per-lead as competitors outbid you or search trends shift.
Weekly tasks include:
Monthly tasks include:
The most expensive mistakes in paid advertising are often the most avoidable. Sending traffic to a general area of the site rather than a dedicated landing page is the primary cause of low conversion rates. A standard landing page should be a direct continuation of the ad’s promise. If the ad promises a “Free Audit,” the landing page should be about that audit, not your company’s history.
Neglecting mobile users is another major pitfall. With the majority of traffic now coming from mobile devices, a slow-loading or poorly formatted mobile site will cause prospects to leave immediately. This increases your bounce rate and lowers your Quality Score, which in turn makes your ads more expensive.
Furthermore, stopping campaigns too early, specifically before the algorithm has had time to learn, results in “data poverty.” You have spent money but have not gathered enough information to improve. Most automated bidding strategies require at least 30 conversions in a 30-day period to function correctly. If you cut the budget before reaching this threshold, you are essentially starting from scratch every time you restart.
The most successful businesses do not choose between Google and LinkedIn; they use them together. This “full-funnel” approach uses LinkedIn to create awareness among ideal prospects and Google to capture them when they are ready to act.
By sequencing your messaging, you build familiarity. A prospect who has seen your educational content on LinkedIn is much more likely to click your Google ad and convert when they eventually search for a solution. This synergy reduces the overall Customer Acquisition Cost (CAC) over time.
You can also use Google data to inform LinkedIn targeting. If you find that a specific keyword on Google is driving high-value customers, you can look at the companies those customers work for and target similar companies on LinkedIn. Conversely, if a LinkedIn ad generates a lot of engagement from a specific industry, you can create a dedicated Google campaign for keywords related to that industry.
Ultimately, the goal of 10XR’s dedicated growth partner approach is to move past clicks and look at revenue. Many agencies focus on “vanity metrics” such as impressions or click-through rates, but these do not pay the bills.
Key metrics to monitor:
By focusing on these metrics, you can make informed decisions about scaling your budget. If a campaign is delivering high-quality leads that turn into high-value customers, it is an asset to be scaled, not a cost to be cut. Scaling should be done incrementally, usually by increasing the budget by 10 to 20 percent at a time to avoid destabilizing the algorithm.
For businesses with significant monthly spends, manual management is no longer enough. Advanced strategies such as Value-Based Bidding (VBB) can take performance to the next level. This involves telling the ad platform not just that a conversion happened, but how much that conversion was worth.
By feeding profit margins or deal sizes back into Google and LinkedIn, the platforms can prioritise showing your ads to people likely to spend more. This shifts the focus from “getting as many leads as possible” to “getting the most valuable leads possible.”
Another advanced tactic is the use of dynamic search ads (DSAs) for Google. These ads use your website’s content to automatically generate headlines and landing page targets based on what the user is searching for. While this requires a well-structured and SEO-optimised site, it can capture long-tail search traffic that you might miss with standard keyword targeting.
On LinkedIn, the use of “Conversation Ads” can provide a more interactive experience. These ads appear in the user’s inbox as a message from a real person, offering several different paths for the user to take. This mimics a real sales conversation and can be a powerful way to qualify leads before they even reach your website.
Even the best campaigns will eventually see performance decline. This is often due to “creative fatigue,” where your target audience has seen your ad so many times that they stop noticing it. To combat this, you should have a pipeline of new ad creative ready to launch every quarter.
Regular account audits are also necessary. Over time, an account can become bloated with old campaigns, redundant keywords, and conflicting settings. A quarterly “spring cleaning” where you pause anything that has not delivered a conversion in 90 days will keep the account lean and focused on performance.
Finally, keep an eye on industry shifts. Privacy changes, such as the removal of third-party cookies or updates to mobile operating systems, can significantly impact how tracking works. Staying informed about these technical changes allows you to adapt your tracking setup before your data becomes inaccurate.
Managing paid ads on Google and LinkedIn effectively requires a deep understanding of user intent and a commitment to data-driven decision-making. Google captures the demand that exists right now, while LinkedIn builds the relationships that lead to future demand.
When these platforms are managed with a focus on closed-loop tracking and strategic alignment, the result is a sustainable lead generation system that fuels business growth. High-performing campaigns are built on a foundation of technical excellence, constant testing, and a focus on revenue rather than vanity metrics.
To review your current ad performance and identify where your budget is leaking, call 08 6727 9005 to book a free growth consultation.