Paid Media
Google, Meta, LinkedIn, YouTube and Xiaohongshu campaigns managed on data, in ad accounts you own.
Explore paid mediaFIG 05 — DIGITAL MARKETING

KEY TAKEAWAYS
The Google versus Meta question is asked as if they were rivals selling the same thing. They aren't. Google Ads intercepts people who already want something: they typed the words, you bid on the words, intent is proven. Meta Ads interrupts people who weren't looking, with creative strong enough to make them want what they didn't know existed. Capture versus creation. The right split depends on which job your business needs done, which is why the correct answer changes company by company and month by month.
Weight Google when demand already exists and your job is to win it. The test takes five minutes: check search volume for your category terms. A plumber, a course provider, an ERP vendor: buyers search for these, and showing up at the moment of search converts at intent-level rates. Google also owns the emergency and the comparison: "aircon repair today" and "best accounting software" are both decided on the results page. The constraint is cost per click in competitive categories; when established players have bid the obvious keywords into the ceiling, long-tail terms and tight landing pages are how a smaller budget still wins qualified clicks.
Weight Meta when nobody searches for you yet: new products, visual products, impulse-friendly price points, and brands whose advantage is being seen rather than being found. Meta's targeting builds audiences from behaviour and lookalikes from your existing customers, and its formats sell with video where Google sells with text. Meta is also the retention engine most SMEs skip: remarketing to site visitors and past buyers is routinely the cheapest revenue in the account. The constraint is creative appetite: Meta burns through ads in weeks, and a budget without a creative pipeline behind it decays quietly.
For a first budget, decide which machine your business is: searched-for or discovered. Then start around 60/40 toward that side rather than 100/0, because the minority side is buying you data, not just leads. Run the split for a full month, compare cost per qualified lead, not per click, and move 10 to 20 points toward the winner. Repeat monthly. Within a quarter the account finds its own equilibrium, and it will rarely be the split you would have guessed in the planning meeting. We usually recommend at least HK$20,000 per month for the first three months of testing; below a floor like that, neither platform exits its learning phase and the data you're paying for never arrives.
None of the above works without conversion tracking that ties spend to enquiries and enquiries to revenue. That means GA4 configured with real conversion events, both platforms' pixels verified, and a CRM note of which leads became customers. With it, budget meetings take ten minutes and end in a number. Without it, the platform with the prettier dashboard wins, which is how businesses end up funding clicks that never became clients. It's why tracking setup is the first line of our paid media engagements, before a dollar of spend.
Four patterns cost SMEs the most. Splitting 50/50 out of fairness: platforms aren't employees; fund the one that performs. Judging Meta on last-click numbers: it creates demand that often converts later through search, so watch assisted conversions before cutting it. Pausing everything after one bad fortnight: learning phases reset and the meter starts over. And spreading a small budget across five platforms: below the testing floor per platform, you learn nothing everywhere. Concentrate, measure, then expand.
END — ARTICLE FAQ
For B2B with deal sizes that justify the higher click costs, yes, often alongside Google. LinkedIn buys precise job-title reach; it's in our standard mix for professional and industrial clients.
Traffic is immediate; a stable cost per qualified lead typically takes 4 to 8 weeks of testing and learning-phase exit.
No. Management fee is separate from ad spend and agreed up front, so recommendations aren't biased toward bigger budgets.
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