Campaign Types & Objectives

Search Campaigns

By the AdFlint research team · Last reviewed July 2026

Text ads matched to the words a person types into Google, billed per click and shown at the moment of stated intent.

You build ad groups around keyword themes, write responsive search ads, and set a bidding strategy; Google matches queries to your keywords and runs an auction on each search. Advertisers use them to capture existing demand rather than create it. The usual mistake is ignoring the search terms report, so broad match quietly spends budget on queries you would never have bought.

Key takeaways

  • Match type controls how loosely a keyword is interpreted, and since Broad Match Modifier's deprecation none of the remaining types are literally exact, so the search terms report is required maintenance, not optional cleanup.
  • Quality Score doesn't directly set your bid but multiplies into Ad Rank, so tightly themed ad groups with matching ad copy and landing pages consistently win cheaper clicks than loosely grouped ones.
  • Search Campaigns capture demand that already exists; they underperform for categories with little existing search volume or for pure awareness goals, where Display Campaigns or Demand Gen Campaigns fit better.
  • Use auction insights to diagnose rising CPCs from competitive pressure and the search terms report to diagnose falling conversion rate from match type drift - they point to different fixes.

In practice.

Search Campaigns run on a keyword-and-auction mechanism that is different in kind from Performance Max or Demand Gen Campaigns: you build ad groups around keyword themes, attach match types (exact, phrase, or broad) to each keyword, write responsive search ads with multiple headlines and descriptions that Google assembles dynamically, and set a bidding strategy. When someone types a search into Google, your keywords are checked for a match against that query, and if matched, your ad enters a real-time auction against every other advertiser whose keywords also matched, priced by Ad Rank (a combination of bid, quality score, and expected ad-format impact). You are billed per click, not per impression, which is the core mechanical difference from Display Campaigns and most Demand Gen Campaigns inventory.

Match type is the setting that determines how literally Google interprets your keyword list, and it interacts directly with the search terms report, which shows the actual queries that triggered your ads. Broad match, the loosest option, lets Google match on inferred intent and can serve on queries that share almost no words with your keyword, relying on signals like landing page content, other keywords in the account, and past conversion data to decide what counts as relevant. Exact match, despite the name, still allows close variants (plurals, misspellings, reordered words with the same meaning), so even the tightest match type is not literally exact anymore since Broad Match Modifier was deprecated. Because match type is this loose across the board, the search terms report is not optional maintenance - it is the mechanism by which you find out what Google actually spent your money matching to, and add negative keywords for anything irrelevant.

Quality Score, an account-level diagnostic built from expected clickthrough rate, ad relevance, and landing page experience, is not itself a bid input but it multiplies into Ad Rank, which means a low-quality ad group pays more per click to hold the same position a higher-quality one gets for less. This is where Search Campaigns reward tight ad group structure: an ad group built around one keyword theme with an ad and landing page written specifically for that theme will consistently out-earn a scattershot ad group stuffing unrelated keywords together, even at identical bids.

Search Campaigns exist to capture demand that already exists - someone typing a query has already formed intent, which is why Search Campaigns are the default channel advertisers reach for first and why they sit at one end of the funnel relative to Display Campaigns, Demand Gen Campaigns, and Video Campaigns, which mostly create or nurture demand rather than capture it. This also defines when Search Campaigns matter less: for categories with low or no existing search volume, or for pure brand-awareness goals, a Search Campaign has nothing to capture and the budget is better spent upstream. The most common mistake, restated concretely, is running broad match with automated bidding and never opening the search terms report, which lets budget quietly drift onto tangential queries that a manually reviewed account would exclude within the first week.

In reporting, the search terms report and the auction insights report are the two views that explain most Search Campaigns anomalies. A rising cost-per-conversion with flat conversion rate usually traces back to CPC inflation from new competitors (visible in auction insights as a competitor's impression share climbing) rather than anything wrong with your ad; a rising cost-per-conversion with falling conversion rate more often traces back to match type drift pulling in lower-intent queries (visible in the search terms report). Impression share lost to budget versus impression share lost to rank tells you whether the fix is more budget or a better bid/quality combination.

Worked example

Cleaning a search terms report

Suppose a plumbing company runs a Search Campaign on broad match for the keyword "drain cleaning" with a $1,800 monthly budget and sees 900 clicks at an average $2.00 CPC, generating 45 conversions - a 5% conversion rate and $40 cost per conversion.

Pulling the search terms report, they find that 300 of those 900 clicks came from queries like "how to clean a drain yourself" and "drain cleaning jobs near me" (job seekers, not customers) - informational and irrelevant queries broad match pulled in. Those 300 clicks cost roughly $600 and produced only 3 conversions, a $200 cost per conversion dragging down the blended number. The remaining 600 clicks, all on relevant queries, produced the other 42 conversions - a 7% conversion rate. Excluding the irrelevant terms as negatives frees that same $600 to spend on the same relevant query pool instead: at $2.00 CPC that buys roughly 300 more clicks, adding about 21 more conversions at the same 7% rate. Total conversions would be expected to climb from 45 toward roughly 63 for the same $1,800 budget, cutting the blended cost per conversion from $40 toward roughly $28-29 - the arithmetic reason match type review pays for itself.

Search Campaigns compared with

The settings this gets confused with, and how to tell them apart.

Common questions.

How often should I check the search terms report?

Weekly is a reasonable baseline for an active account, more often in the first few weeks of a new campaign or after a broad match keyword addition, since that's when irrelevant query drift is most likely to show up before it has spent much budget.

Why is my exact match keyword showing impressions for queries that don't match exactly?

Exact match still allows close variants such as plurals, misspellings, and reordered words with the same meaning, so it isn't literally exact even though the name suggests it - this is standard Google Ads behavior, not a bug.

What's a normal Quality Score to aim for?

There's no universal target - Quality Score is reported relative to other advertisers competing for the same keyword, so a good score for one keyword can be a mediocre score for another. Use it as a relative diagnostic instead: if one keyword in an ad group scores noticeably lower than the rest, check its expected clickthrough rate, ad relevance, and landing page experience components to see which one is the weak link, then fix the ad copy or landing page for that specific keyword theme.

Should I use automated or manual bidding for Search Campaigns?

Automated strategies (like Target CPA or Target ROAS) generally work well once a campaign has enough conversion volume for the algorithm to learn from, typically several dozen conversions a month at minimum; newer or lower-volume campaigns often do better starting with manual or a simpler automated strategy like Maximize Clicks until there's enough data.

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