Google Ads in Texas

By suburb rather than by metro radius, because the geography makes a metro-scale radius genuinely wasteful. Houston's city limits cover more ground than several entire states, so a radius drawn around the metro includes people who are forty minutes away in traffic and will not convert regardless of how good your ad is — and because the click volume looks healthy, the waste is invisible in aggregate reporting. Segmenting by suburb lets you see which areas actually produce enquiries, write ads that name the suburb, and stop paying for the ones that never convert. In most Texas accounts we audit, tightening geography and reallocating that spend inward produces a larger improvement than any bid strategy change, and it is diagnosable in an afternoon by segmenting existing performance data by location.

Manually, on a tight keyword set, and by refusing to prioritise by search volume — which is what excludes these terms from most accounts in the first place. Specialised energy and industrial queries in Houston have tiny volumes attached to enormous contract values, so a keyword tool sorting by volume will discard exactly the terms worth bidding on. Automated bidding also struggles here because there is not enough conversion volume to learn from, which makes manual bidding on a small curated list the appropriate approach rather than a fallback. Measurement has to change too: with a handful of clicks a month, conventional conversion metrics are noise, so we track enquiries and pipeline directly with your sales team rather than optimising against a dashboard number that cannot be statistically meaningful at that volume.

Because they are not priced by the local market at all. An Austin SaaS or software company bidding on category keywords is competing against national and global advertisers whose buyers are also not geographically constrained, so the auction price reflects national budgets rather than Austin's market size. Businesses arriving with a local-market budget expectation find their clicks cost several times what a comparable local service category costs, and the campaign is frequently misdiagnosed as poorly managed when the actual issue is that it was budgeted against the wrong benchmark. The honest responses are to narrow to specific long-tail intents where national advertisers are not bidding, to accept a national-scale budget, or to weight toward organic and content where accumulated authority competes better than money does.

Geography and conversion tracking, in that order, and both before any bid work. On geography, the recurring finding is metro-scale targeting with no suburb segmentation, so nobody can tell which parts of a very large market are producing enquiries — segmenting existing data by location frequently shows a third or more of spend going to areas that have never converted. On tracking, the usual faults apply: conversions firing on page views rather than submissions, calls counted on connection rather than duration, duplicate tags. In Texas the tracking problem compounds with the geography one, because an account optimising toward a loose conversion definition across an oversized radius will efficiently find you the cheapest, most distant, least qualified clicks available.