Most Google Ads keyword research advice sounds the same: pull a list from a tool, sort by volume, guess at intent, then let the campaign “figure it out.” That approach can work, but it’s also why so many accounts spend months collecting data they can’t actually use.
The stronger (and far less discussed) approach is to treat keyword research as constraint design. Instead of asking, “What else can we bid on?” you ask, “What do we need to exclude, separate, and prove so performance improves faster?” When you do that, you don’t just find keywords-you build an account that learns quickly and scales with fewer surprises.
Keyword research isn’t discovery-it’s reducing ambiguity
A keyword isn’t just a word. It’s a bundle of variables: who’s searching, what they want right now, what the results page looks like, and what kind of conversion signal that click will feed back into Google’s system.
If your keyword plan doesn’t control those variables, you’ll end up with messy traffic, mixed intent, and reporting that’s hard to trust.
1) Start with “negative personas” (your fastest efficiency win)
Most advertisers build customer personas. The higher-leverage move is building negative personas: people who look relevant on paper but consistently waste budget or produce low-quality leads.
Here are a few negative personas worth defining early, then translating into negative keyword themes:
- The Job Seeker: careers, salary, hiring, internships, resume
- The DIY-er: template, how to, free, download, example
- The Student/Academic: definition, research, pdf, essay, journal
- The Bargain Hunter: cheap, coupon, discount, promo code
- The Comparison Tourist: vs, alternatives, reviews (often valuable, but usually needs its own structure)
This isn’t just about saving spend. Cleaner traffic means cleaner conversion data, and cleaner conversion data helps your bidding and optimization get smarter faster.
2) Build an intent ladder-and only pay for rungs you can fulfill
Not every keyword deserves budget simply because it has volume. What matters is whether you can meet the searcher where they are and answer the question they’re actually asking.
A practical way to organize this is an intent ladder:
- Problem-aware: “why does X happen?”
- Solution-aware: “best way to solve X”
- Product-aware: “X software” / “X agency”
- Brand or competitor-aware: “[competitor] alternative,” “Brand pricing”
- Ready-to-buy: “pricing,” “quote,” “book demo,” “near me”
The most common mistake is bidding up and down this ladder while sending everyone to the same landing page. That’s how you end up paying for clicks that were never going to convert, then blaming the keyword.
A better rule: only “open” an intent rung if you have a landing page (or experience) that answers that rung’s question within five seconds. If you can’t, that rung is closed for now.
3) Use SERP economics as your keyword filter (not just CPC)
CPC is a surface metric. The real battle is the results page itself. Two keywords can have the same CPC and completely different chances of success.
Before you commit budget, look at the SERP and classify it:
- Open SERP: a mix of advertisers and weaker incumbents; fewer obstacles; generally winnable
- Walled SERP: heavy Google features, shopping units, maps, or marketplaces that absorb clicks
- Moat SERP: dominant incumbents with strong brand trust and high ad density
Then make a clear call:
- Open SERPs: expand coverage and test angles
- Walled SERPs: participate only if you have a sharp offer or a truly differentiated hook
- Moat SERPs: conquest carefully, and only when your positioning can hold up
This is where keyword research becomes strategy. You’re not picking words-you’re choosing which markets you can realistically compete in.
4) Work backwards from conversion friction
One of the best ways to find high-performing keywords is to start with the reason people hesitate to buy, then target the queries that resolve that hesitation.
Common friction points include:
- Price uncertainty
- Trust and risk
- Fit or eligibility
- Implementation complexity
- Time-to-value
From there, build keyword clusters that speak directly to those objections:
- Price: pricing, cost, plans, quote
- Trust: reviews, case study, testimonials, certified
- Fit: for small business, for healthcare, compliant, for [industry]
- Complexity: implementation, setup, migration, integrations
- Timing: same day, fast, turnaround time, how long does it take
These searches often convert well because the user isn’t browsing-they’re qualifying and making a decision.
5) Build “learning-proof” keyword sets for modern Google Ads
With automation and smart bidding, the goal isn’t only to get clicks-it’s to send Google consistent, high-quality signals. That’s hard to do when you mix different intent types together.
To reduce noise, separate keyword sets that behave differently, such as:
- Pricing intent vs “free” intent
- Local “near me” intent vs national research intent
- Competitor terms vs category terms
- Repair vs install vs maintenance (service businesses especially)
Then align each set to a specific landing page type and a primary conversion action. This simple discipline makes testing cleaner and scaling more predictable.
6) Treat match types as tools, not preferences
Match types aren’t just settings-they’re a workflow.
- Broad match is best used for controlled exploration and language discovery
- Phrase and exact are for validation and scaling once you know what works
- Negatives are guardrails that protect both budget and learning
In practice, that usually means starting with exploration in a tightly controlled environment, then promoting proven search terms into phrase/exact while aggressively excluding junk queries.
7) Keep a “keyword kill list” (and be proud of it)
Most teams obsess over what to add. Strong teams track what to remove, and they document why.
Your kill list might include keywords that:
- consistently attract the wrong persona
- convert poorly and create expensive assisted costs
- convert “well” but produce low-quality downstream outcomes (low SQL rate, high refunds, churn)
- live on SERPs that are structurally unwinnable at your margins
That last point matters: a keyword can look attractive in-platform and still be a bad business decision.
8) Write your “where we will NOT operate” keyword thesis
This is the leadership-level step most accounts skip. Write down the boundaries that define your business, then translate them into keyword decisions.
Your thesis might include:
- industries you won’t serve
- price points you won’t compete at
- use cases you don’t support
- geographies you can’t fulfill well
- compliance or eligibility constraints
Once you’ve defined those lines, your execution becomes easier: negative keyword libraries, location exclusions, and ad copy that intentionally disqualifies bad-fit clicks.
A simple 30/60/90 rollout plan
First 30 days: traction
- Define negative personas and apply a shared negative library
- Map your intent ladder and close rungs you can’t support with the right landing pages
- Review your core SERPs and tag them as open, walled, or moat
60 days: validation
- Run controlled exploration (broad with guardrails)
- Promote winners into phrase/exact grouped by intent
- Start and enforce a keyword kill list
90 days: scale
- Expand coverage primarily in open SERPs and proven intent rungs
- Split campaigns by objection intent (pricing, reviews, implementation, fit)
- Optimize using downstream quality metrics where available
The point
Winning keyword research isn’t about building the biggest list. It’s about building the clearest system-one that filters out bad-fit demand, separates intent, and creates clean learning signals you can scale.
If you want an even tighter version of this process for your business, create a simple internal page (even a Google Doc) that becomes your “keyword thesis” and links to your negative persona lists. If you keep it current, it will guide better decisions than any keyword tool ever will.
