PPC Ads Review

Paid advertising can be expensive if done wrong.

I've used PPC ads for two separate businesses. In both cases, I kept my costs low, maximized clicks, and captured high-quality leads.

I know what works, what doesn’t, and how long you should run each campaign. I can help you run a profitable campaign.

You see, both Facebook and Google run an auction-style bidding system for display ads. I know business owners who have blown through thousands of dollars on their first campaign with nothing to show for it.

It’s not that Google and Meta (Facebook) are trying to rip people off. You just need to learn the ins and outs of how PPC campaigns work.

If you’re a complete beginner, start with a low budget of about $5 to $10. This will give you enough breathing space. Every PPC campaign goes through an initial learning phase. Meta wants to show your ad to the people most likely to take the action you want (click, buy, sign up, etc.).

Both Meta and Google use machine learning—a kind of artificial intelligence that learns from data over time. So you want to provide it with enough time to collect the data it needs.

These profiles are turned into "vectors"

Think of a vector as a digital "fingerprint" of your interests and behavior.

Each person’s vector represents:

• Interests (e.g., fitness, fashion, tech)

• Behaviors (e.g., always clicks ads, never clicks, buys frequently, etc.)

• Demographics (age, gender, location—if known)

So basically you’re a dot in a giant multi-dimensional space.

Google gathers intent signals

Google knows a lot about search intent and user behavior:

• What people search for (their exact words)

• Which sites they visit after searching

• How they interact with ads across Google properties

• Their location, device, and time of day when searching

This creates a powerful combination of intent + behavior data.

Google then predicts actions

Think of prediction models as Google's way of calculating what’s likely to happen next:

• How likely is this person to click?

• How likely are they to convert after clicking?

• How valuable might this conversion be?

Each user gets different probability scores based on all the signals Google has gathered.

Once you understand your prospect's motivations, you can create ad copy that resonates with them.

You should also focus on building out a keyword list before you run your campaign.

How Meta Ads Machine Learning Works.

Meta wants to show your ad to the people most likely to take the action you want (click, buy, sign up, etc.).

To do this, it uses machine learning—a kind of artificial intelligence that learns from data over time.

Meta knows a lot about its users:

• What they like, click, watch, and comment on

• What types of ads they interact with

• What purchases they make (on and off Meta, using tracking pixels, etc.)

This data is used to create profiles of people—not by name, but as numbers and patterns.

These profiles are turned into "vectors"

Think of a vector as a digital "fingerprint" of your interests and behavior.

Each person’s vector represents:

• Interests (e.g., fitness, fashion, tech)

• Behaviors (e.g., always clicks ads, never clicks, buys frequently, etc.)

• Demographics (age, gender, location—if known)

So you’re basically a dot in a giant multi-dimensional space.

Meta learns what “good results” look like

When advertisers run ads, Meta sees:

• Which users clicked

• Who bought something

• Who ignored it

It learns what kinds of profiles tend to respond well for certain types of ads.

This is where Bayesian reasoning can come in: Meta can update its beliefs about what kind of person is likely to convert as new data comes in.

It tries to find “lookalikes” to those who convert

Meta uses its machine learning to locate pools of people with vectors similar to those who already responded well.

So if 50 people clicked your ad yesterday, Meta will:

• Analyze their profiles (vectors)

• Predict which other people might behave similarly

• Show your ad to them next

This process keeps refining constantly.

You train the system by letting it learn

The more budget and data you give it (especially in the first 7 days of a campaign), the more Meta learns.

That’s why it’s usually better to give Meta room to test—broad audiences work well because Meta can go find the right people inside that broad pool.

Now you might be asking. Can’t I just set up a campaign and learn as I go?

You can, and I strongly suggest that you do. The best way to learn PPC advertising is to run a campaign.

But...

I will show you how to save money, time, and effort with paid ads so you can get the best results for your business.

I will review your current Google or Facebook Ads Campaign to make sure they are set up and optimised correctly.

For Google Ads:

• You’re using the most profitable keywords for your niche, service, and industry

• The most effective bidding strategies to ensure that you’re not paying more than you should for your ads.

• If you’re starting a new campaign, I’ll advise you on how to setup your campaign correctly and the tools you need before you start

• How to apply the right bidding strategies and when to apply them.

• How to use the correct ad extensions and make the most of each ad set.

For Facebook (Meta) Ads:

• Creating An Effective Facebook Business Page

• Setting Up The Right Campaign Structure.

• How to Use Bidding Strategies to Get More For Your Money

• Making Sure Your Creatives (videos & images) Are Optimised

• Making Full Use of Facebook's Targeting Features to Build an Audience

• Using Facebook's Lead Generation Tools to Maximise Conversions

I understand that each business requires different results and a particular set of numbers to succeed.

But once you have good copy, fully optimised ads and landing pages working together as a well-honed system, you can control the results you want and produce the numbers you need.

If you’re ready to grow your business and expand your client base, then click on the button below.