u/mandfsjabcbdb

▲ 2 r/AskGTM+1 crossposts

My Google Ads Keyword Playbook for 2026

I've lost money on keyword structure that hasn't kept up with how Google's matching actually works now.

But learnt a lot doing it for a year. Here's my Guide to Google Ads keyword planner.

Exact match used to mean exact. Now Google treats it as a starting point and extends to synonyms and close variants it decides are "related enough." You need to be deliberate about it, because most accounts aren't.

Start with intent, not volume

Commercial and transactional keywords first. Searches like "magnesium glycinate 400mg" or "best whey protein for weight loss" tell you where the buyer is. Run those until you have conversion data, then layer in informational terms to pull in colder audiences.

If your budget is tight, 10 to 20 high-intent keywords beats a 200-term list with nothing converting.

Match types have one job each

Exact match is for control. Use it on specific long-tail terms with 1,000 to 2,000+ monthly searches. You get clean data and contained spend.

Phrase match widens the net while keeping the query anchored. Good for variants you wouldn't find manually.

Broad match is for discovery, but only after two things are in place: enough conversion data for smart bidding to work, and a negative keyword list already filtering irrelevant traffic. Never run broad match on single-word terms. "Creatine" will burn through budget on searches that will never buy.

Finding keywords worth targeting

Open Keyword Planner, go to Discover New Keywords, enter your seed term. Filter for 30+ monthly searches.

Prioritize volume first. "Compression knee sleeves" at 9,900 searches beats "best compression knee sleeve for runners with arthritis" at 90. Your match types will surface the long-tail variants anyway.

Use the Refine Keywords filter to find sub-themes: gender, format, ingredient, activity type. If the same theme appears across multiple searches, build a dedicated ad group around it.

Keyword Planner consistently undershoots volume. Cross-check with a third-party keyword tool before committing budget to a term. The impression counts you actually get often have nothing to do with what Planner shows.

Your search term report is often better than any tool. Export it monthly and mine it for exact match terms you haven't added yet. The searches that already converted are the most reliable seed inputs you have.

Competitor research belongs here too. Most keyword tools let you drop in a competitor's domain and pull their keyword profile and estimated spend. Pay attention to terms they used to bid on and stopped. Sometimes they quit too early. Sometimes the traffic never converted profitably. Assess which scenario fits before targeting the same terms yourself.

Google Trends catches what the other tools miss: keywords gaining momentum before competition catches up.

Validate before you spend

Three checks before any keyword goes into a campaign.

Competition level. High competition means expensive clicks. Not a dealbreaker, but it shapes your bid expectations.

Top-of-page bid range. If estimated cost per click is $7 and your average order value is $70 at a 4% conversion rate, you're losing money before you start. At $1.40 cost per click with commercial intent, it's worth a test.

Forecast tool. Run your full keyword list through it. You'll see projected impressions, clicks, and spend before touching live budget.

Campaign structure

One theme per ad group. "Face cream," "retinol serum," and "sunscreen" are three ad groups, not one. Cap at 20 keywords per ad group.

Separate branded from non-branded campaigns before you launch. When they run together, Google optimizes toward branded searches because those convert easier. You end up paying for clicks from people already planning to buy from you, while prospecting campaigns starve for budget.

Build your negative keyword list on day one. Add obvious non-buyer terms before the first campaign goes live ("free," "DIY," "Reddit"). Expand as search term data comes in.

Ongoing optimization

Weeks 1 to 2: Launch exact and phrase match, monitor search terms daily, don't touch bids yet.

Weeks 3 to 4: Pull the search term report, sort by conversions. Add top performers as exact match. Negative out anything burning spend without converting.

Month 2 onward: You'll start seeing which intent signals and use cases don't convert for you. Tighten negatives around those. Take your top-converting terms back into Keyword Planner as new seed inputs and look for adjacent themes. If "magnesium for sleep" converts, test "natural sleep aid" and "magnesium glycinate for insomnia" in their own ad groups.

Treat keyword research as a monthly system.

reddit.com

Recruiters are using AI to filter applications.

A recruiter I know at a large tech company told me their team uses an LLM to go through thousands of applications before a human even sees them. Most candidates are literally being judged by AI from the start.

So companies can use AI to screen you, reject you, and rank you but candidates using AI assistance during interviews is crossing the line?

Hiring has changed on both sides. The people getting offers are the ones adapting fastest. Half of my CS class is using InterviewCoder to get their internships and I decided a month ago I was going to start using it too.

Anyway, you're competing against candidates using AI whether you like it or not.

reddit.com
u/mandfsjabcbdb — 2 days ago