The foundations of Pay Per Click Marketing – Scaling your business with paid ads


When you think of Pay Per Click marketing, you might picture those familiar blue links at the top of a Google search results page (SERP). But in today’s digital landscape, PPC marketing is vastly more complex.

PPC marketing – alternatively called Pay Per ClickPaid Search or Search Engine Marketing (SEM) – is an online advertising model where you only pay when a user actively interacts with your ad. Since its inception, the channel has undergone a massive evolution. We’ve moved away from the humble beginnings of manually micro-managing keywords with strict match types to operating within an ecosystem mostly built around Artificial Intelligence.

Modern advertisers no longer tweak individual keyword bids hourly. Instead, they act as strategic pilots: steering advanced machine learning algorithms by providing them with clear business goals and high-quality data.

We’ll discuss more below:

At its heart, Pay Per Click marketing runs on an instantaneous auction model. Every time a user types a query into a search engine, an automated auction determines which ads appear and in what order.

Your ad’s position on the SERP (Search Engine Results Page) depends on a mix of your maximum bid and your Quality Score – the platform’s 1-10 rating of how relevant and useful your ad and landing page are to the user’s specific search intent.

To keep your campaigns scaling profitably, you need to understand the relationship between these core performance metrics:

  • Impressions: The number of times your ad is displayed on a results page.
  • Clicks: The number of times users actively click on your ad after seeing it.
  • Click-Through Rate (CTR): The percentage of impressions that turn into clicks. A high CTR indicates strong ad relevance.
  • Average Cost-Per-Click (Avg. CPC): The average amount you pay for each individual click.
  • Cost (or Spend): The total investment accrued across your keywords, ad groups or campaigns.
  • Conversion: When a user clicks your ad and takes a valuable, predefined action on your site, such as buying a product, submitting a form or calling your business. This is the ultimate proof of real business results.
  • Conversion Value: The monetary worth assigned to a specific conversion (e.g. a £100 sale).
  • Return On Ad Spend (ROAS): A critical financial metric measuring revenue generated per pound spent. For example, spending £100 to make £500 yields a 5:1 (or 500%) ROAS. This metric forms the foundation for automated bidding strategies like Target ROAS (tROAS).
  • Search Impression Share (SIS): The percentage of eligible auctions your ad actually appeared in out of the total volume you could have captured based on your targeting. Think of it as a market share health check. If a campaign is highly profitable but its SIS is only 40%, you are leaving 60% of your potential market on the table so you’ll have to optimise campaigns and see where you can push.

Now, these are just some of the more common performance metrics available in platforms like Google Ads and Microsoft Ads but there are a whole lot more in the platforms that can help you better understand campaign performances.

While the PPC landscape features several advertising networks, two dominant platforms lead the market. Google Ads is the undisputed heavyweight, offering unparalleled reach and highly advanced automation. Microsoft Advertising (formerly Bing Ads) commands a smaller footprint but captures a valuable, often less competitive audience.

Overview of both platforms:

Snapshot of Google Ads vs. Microsoft Ads

Why prioritise PPC over other digital channels? The answer comes down to speed, precision and agility:

  1. Immediate Visibility: Unlike organic SEO, which can take months to build momentum, a PPC campaign can launch and drive targeted traffic within hours.
  2. Granular Targeting: You can slice your audience by exact geographies, demographics, time of day, device types and rich behavioural audience segments.
  3. Algorithmic Optimisation: Smart bidding leverages millions of contextual signals in real time to remove the guesswork from hitting your KPIs.

Learn more about PPC and how best to use it to scale your own business by subscribing today:

PPC can scale almost any business model if the math aligns e.g.

  • E-commerce brands can leverage asset-heavy Performance Max campaigns.
  • Local service businesses (like plumbers or electricians) thrive on Local Services Ads.
  • Traditional Search campaigns remain the gold standard for capturing high-intent B2B or B2C leads.

However, PPC is not a silver bullet. You should hold off on launching paid ads if:

  • Your website has broken landing pages or a poor user experience.
  • Your business operates on razor-thin profit margins that cannot absorb initial testing costs.
  • You do not have accurate web tracking set up to measure conversions.

Paid search is ideally treated as an evergreen channel and run continuously. Pausing campaigns disrupts data continuity, which forces the platform’s AI back into a “learning phase.” Keeping ads unpaused ensures steady data flow. However, if budget or strategy dictates a shorter timeline then PPC can still be effective for product launches, seasonal promotions or supporting organic visibility when SEO rankings temporarily dip.

Modern paid search strategies typically combine two primary approaches with all campaigns utilising machine learning or AI in one form or another:

  • Traditional Search Campaigns: The most mature, text-based campaign type. They are built hierarchically out of ad groups, tailored text ads and explicit keyword lists to capture user search queries.
  • Performance Max (PMax) Campaigns: Google’s newer, all-in-one campaign type. PMax operates across the entire marketing funnel by automatically distributing assets across YouTube, Display, Discover, Gmail, Maps and Search, based on a single pool of creative assets.
  • There are also other campaign types in the form of: Video campaigns, App campaigns, Shopping campaigns and Demand Gen campaigns but these campaign types are for more specialised accounts.

While manual bidding still exists, automated “Smart Bidding” has been the industry standard for years. By analysing historical data and user signals at the exact moment of an auction, the algorithm adjusts bids to maximise conversions or revenue.

However, AI requires guardrails. For Smart Bidding to succeed, the data you feed the platform must be clean and accurate. Inputting poor data, results in poor and unpredictable performance. Furthermore, if you pair automated bidding with Broad Match keywords, you must maintain a strict regimen of reviewing search term reports and adding negative keywords to block irrelevant, budget-wasting traffic.

PPC marketing remains one of the most powerful growth levers available, provided it is treated as a science rather than a lottery. Success requires a deliberate strategy, continuous testing and robust data ingestion to give the platform algorithms the precise signals they need to maximise your return.