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Broad match vs exact match for shopping search terms

By cartscaling Reviewed

Start wide and tighten with evidence. Shopping listings are matched from your product data rather than from keywords you choose, so the practical control is the negative list plus how narrowly you fence each campaign. Fence everything from day one and you will never discover the phrasing customers actually use. Leave it open forever and you pay for queries that were never going to buy.

The rule for tightening is specific. Read the search term report weekly, group the terms into themes, and act only where a theme has taken meaningful spend with no orders. Those become negatives. Where a theme is producing orders, give it a home of its own so it can be bid on properly.

For the text search campaigns that sit alongside the same catalogue, the same logic applies: wide matching finds the language, tight matching protects the terms you already know are profitable.

Choose

Wide matching

when

  • The campaign is new and nobody knows how customers describe the product
  • You sell something people name in many different ways, such as parts or materials
  • You have the time to review search terms every week and act on them
  • A new product line has no query history at all
  • Automated bidding needs volume before it can find patterns

Choose

Tight matching

when

  • A small set of queries reliably produces most of the orders
  • Spend is leaking to research phrases, job searches or the wrong product category
  • Similar brand names or model numbers pull in traffic that never converts
  • Budget is small enough that discovery spend would use all of it
  • You need one campaign fenced so another can be tested cleanly
CriterionWide matchingTight matching
CostSome spend goes on discovery that will not convertSpend concentrates on known terms, at a higher price per click
Setup effortLow to start, but weekly search term review is requiredHigher up front: negatives, fenced structure, and rules for what belongs where
Time to signalTwo to three weeks to gather enough terms to judge themesFaster, since traffic is already qualified
ControlLimited, you steer after the fact with negativesDirect control of which queries can trigger which products
Best forDiscovery, new catalogues, unusual product vocabularyMature accounts, tight budgets, protecting proven terms
What can go wrongNobody reads the report, and irrelevant themes quietly take the budgetThe account stops finding new demand and volume slowly declines
How we measure itShare of spend on terms with no orders, week by weekCost per order and impression share on the fenced query set

When both apply

The structure most accounts settle on runs both at once. One campaign is fenced to the queries you know convert and holds the higher bids, and a second stays open to everything else with the proven terms excluded from it.

That second campaign is the discovery budget, and it should be small and reviewed on a schedule. Each week, promote the terms that produced orders into the fenced campaign and add the dead themes as negatives. Over a few months the fenced side carries most of the revenue while the open side keeps finding language you had not thought of.

Questions

Not directly. Matching comes from your product titles, descriptions and attributes, so improving those is how you influence which queries you appear for. The controls you do have are negative keywords, campaign structure and which products sit in which campaign.

Weekly while a campaign is new, then every fortnight once it has settled. Reviewing daily leads to negatives added on a single click, and reviewing monthly means a wasteful theme has already spent a month of budget before anyone notices.

Themes rather than individual terms: free, repair, hire, jobs, second hand, and the product categories you do not stock. Adding hundreds of one off terms is slow work with little effect, while a dozen well chosen themes removes most of the waste.

Keep negatives at the level where they belong and check the wording carefully, since a broad negative can silently block a converting phrase that contains it. Review the list quarterly and remove anything added for a promotion or a stock problem that has since ended.

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