Competitor PPC Research: What Free Tools Can Tell You

Competitor research is useful when you have a small budget and need a sensible place to start. It can show you how other companies describe a problem, which offers they put in front of buyers, and what their landing pages explain.

It cannot tell you which ads make money.

That distinction matters. A campaign can run for months while wasting budget. Copying it just means you get to pay for the same mistake.

Here’s how I’d research a B2B technology campaign without pretending I have access to a competitor’s account.

1. Start with the buying problem

Let’s use a fictional company, ACME, selling application security testing software.

Before opening any tools, write down what the product actually does. Static code analysis, testing a running application, dependency scanning, and a managed penetration test are different offers. Someone searching for one may have no interest in another.

List a handful of vendors buyers would realistically compare with you. Include the alternative of keeping their existing process. Review directories can help you discover names; a category listing is not proof that every vendor is a direct competitor.

2. Collect public ads, with context

Use the Google Ads Transparency Center to look up advertisers and inspect available ads. Record the advertiser, region, date range, message, offer, and destination where accessible. Google explains the disclosure context in its advertiser verification documentation.

Look for repeated themes: integration with a development workflow, reducing manual triage, or helping teams prioritize findings.

Keep observation separate from interpretation. “Several ads mention developer workflows” is an observation. “That angle converts best” is a claim you cannot establish from the library.

An ad’s wording also doesn’t reliably reveal its keyword list, match types, campaign type, targeting settings, or conversion rate. Missing results are not proof that the advertiser runs no ads.

3. Read the landing page as a buyer

Where a public destination is available, inspect it directly. Note:

Who the page is for and which problem it names.
What the visitor can see before giving contact details.
Which integrations and implementation requirements are explained.
What supports the claims: documentation, an attributable quote, or a case study with context.
What happens after the main CTA.

Build a small research sheet with one row per ad and page. Add a separate column for your hypothesis. That stops a persuasive screenshot from quietly becoming a “fact” in your strategy.

4. Treat keyword and traffic tools as estimates

Third-party tools can suggest terms and competitors you missed. Their traffic, spend, and CPC estimates are not the advertiser’s account data.

A low estimated paid-search share does not prove a company barely advertises. Nor does a high direct-traffic share establish brand strength on its own.

Use Keyword Planner to investigate candidate terms in your intended market. Its estimates are planning inputs, not a promise of available leads. Check the current access requirements and limits of any research tool before making it part of your workflow.

For ACME, I would review “application security testing software” separately from “penetration testing services.” I would inspect searches for training, jobs, or physical security before deciding which exclusions make sense. “Free” is not automatically irrelevant if a genuine free tier is part of your offer.

Do not set your bid from an old competitor screenshot. Your economics, market, offer, and lead quality are different.

5. Use your own account to test the hypothesis

If you already advertise, Auction insights can show which advertisers overlap with you in eligible auctions when sufficient activity is available. It does not expose their total budget or profitability.

Suppose the research suggests that integration detail is missing from competing landing pages. A useful test could be an original integration-focused ad paired with a page that shows the supported workflow and its limitations.

Define the question before launching: does this message attract more qualified enquiries at an acceptable cost? Track search terms, sales feedback, and downstream outcomes. A higher click-through rate alone is not a win.

Keep the first test small enough that you can afford to learn. Avoid changing the offer, audience, bidding, and page simultaneously if you need to understand what caused a result.