Industry playbooks for Google Ads

Industry-specific PPC advice is mostly worthless, because the mechanics do not change. Conversion tracking works the same way for a hotel and a SaaS company. Structure follows intent in both. The landing page has the same job.

What genuinely differs is a short list, and it is worth naming precisely so you can stop reading generic advice and start reading the parts that apply:

1. The shape of the conversion. One purchase per customer forever, or repeat business? Immediate decision or a six-month cycle? Form or phone call?

2. The value of a customer, and how quickly you know it. A banquet hall knows within days. A B2B software company may not know for a year.

3. The seasonality. Some industries have a season; the rest of the year the budget should not be running at the same rate.

4. The geography. A radius of five kilometres, or eight countries.

5. The regulatory constraint. Healthcare, finance and a few others operate inside Google policies that shape the campaign before conversion rate does.

Everything else in this guide is the application of the same four-step method — measurement, structure, landing page, bidding — to those five variables. If your industry is not listed, find the one whose five variables most resemble yours and read that.

The competitor is not another hotel. It is the OTA taking 15–20% of the booking.

That single fact reframes the whole account. A direct booking is worth substantially more than the same booking through an intermediary, so the correct way to evaluate spend is against commission saved, not against ad spend in isolation.

Work it through. If a booking is worth ₹20,000 and the OTA commission is 18%, that is ₹3,600 of margin recovered by taking the booking directly. A cost per direct booking of ₹1,200 is not a ₹1,200 cost — it is a ₹2,400 net gain against the counterfactual. Many hotels evaluate paid search as though the alternative were the booking arriving free, and it very often is not.

Brand defence is the core of the account. Search your own hotel name. If OTAs are bidding on it — and they usually are, with large budgets and sophisticated automation — then a searcher who typed your name specifically is being intercepted and monetised at your expense. Bidding to defend your own name is the highest-return spend available to most independent properties.

The landing page must beat the OTA on the same page. Someone comparing your direct site against a listing site needs: live availability, a rate at least as good as the OTA rate, and a reason to book direct that is concrete — free breakfast, room upgrade, flexible cancellation, late checkout. "Book direct for the best rate" is a claim; "Book direct and breakfast for two is included" is an offer.

Structure by intent and by date sensitivity. Someone searching "hotels in Rishikesh" is browsing. Someone searching "[hotel name] booking" has decided. Someone searching "hotel near Rishikesh with river view for this weekend" is both specific and urgent. These deserve different budgets and different pages.

Seasonality is not optional. Budget pacing that ignores season is money spent at the wrong time of year. Model demand month by month and set budgets to match, rather than dividing an annual number by twelve.

Hyper-local, extremely high value, and effectively one purchase per customer for life.

That combination is unusual and it changes several defaults.

Because there is no repeat business and no lifetime value to average across, every enquiry has to justify itself immediately. And because the deal value is large — often several lakh rupees — a cost per enquiry that would be alarming in most industries is perfectly rational here. Businesses in this category routinely under-bid because the cost per click looks frightening in isolation, without setting it against the value of a single booking.

Radius, not city. Nobody books a wedding venue ninety minutes away when there are twenty closer. Tight radius targeting around the venue, with the "Presence" location setting rather than "Presence or interest", removes a large share of wasted spend on day one.

The phone matters more than the form. Wedding planning happens on the phone. Call extensions, call-only campaigns during business hours, and call tracking with a minimum duration are all essential rather than optional. An account measuring only form fills is missing most of its own results.

The landing page must answer three questions above the fold, because these are the three every enquirer has and the three most venue websites bury:

1. Capacity. How many guests does it seat?
2. Availability. Is my date free — and if you cannot show a calendar, say how fast you will confirm.
3. Price. Per-plate range, or hall rental range. This is the one venues resist hardest and it is the highest-leverage element on the page.

The objection to publishing price is that packages vary. They do. But a family comparing five venues will eliminate the ones that will not engage with the budget question, because they have five to get through and limited patience. A range with the variables named — "₹1,200–₹2,000 per plate depending on menu and season" — qualifies the enquiries you get and loses only the ones that were never going to book.

Seasonality is severe and culturally specific. Wedding seasons in India are determined by auspicious dates that shift year to year. Budget should be built around the actual muhurat calendar for the coming year, not a generic seasonal curve. Off-season, redirect budget toward corporate events and conferences rather than switching off.

Photographs of the actual venue. Stock images of generic ballrooms are worse than no images. This is a business where the visual is the product.

Admissions is a season, not a year. Everything follows from that.

Front-load the budget into the enquiry window. Spending evenly across twelve months means being outbid during the weeks that matter and buying irrelevant clicks during the months that do not. Map the actual admissions calendar — enquiry period, application deadline, counselling window — and concentrate spend accordingly.

Separate three completely different intents, which most education accounts run together:

• Course intent — "b tech computer science admission 2027". Highest value. Own campaign, aggressive.
• Institution intent — someone searching your name. Cheap, high converting, and must be split out or it will flatter everything else.
• Location and category intent — "engineering colleges in delhi ncr". Broad, competitive, expensive. Worth running, worth watching closely.

The buyer and the user are different people, and both search. A parent researching "best schools in south delhi with cbse" and a seventeen-year-old searching "is btech worth it" are at different stages and want different pages. Where budget allows, address them separately.

Enquiry volume is not the metric. Education accounts are frequently judged on raw enquiry counts, which is the fastest route to a large number of unqualified enquiries and a counselling team that stops trusting the channel. What matters is applications, and eventually enrolments.

This makes offline conversion import unusually valuable here. Capture the GCLID with the enquiry, upload back when the application is submitted and again when the student enrols, and let bidding optimise toward enrolment. The lag is long — often months — which makes it harder and more worthwhile.

Compliance and honesty. Claims about placement rates, rankings and accreditation are both a policy matter and a trust matter. Publish figures you can evidence, with the year and the source. Vague superlatives convert worse than specific, modest, checkable numbers.

The problem here is not volume. It is that conversion counts are enormous and of wildly uneven quality.

A webinar funnel will produce registrations at a very low cost. Registrations are not the business. The chain is: registration → attendance → offer viewed → purchase. Each step loses most of the previous one, and the ratio between the first and the last varies enormously by traffic source.

Optimising toward registration is the standard failure. Smart Bidding pointed at registrations will find you people who register for free things — a genuinely distinct population from people who buy courses, and a much cheaper one to acquire. Reported cost per conversion falls, sales do not move, and the account looks like it is improving while it gets worse.

The fix is to make attendance or purchase the primary conversion, with registration secondary. This requires enough volume at that deeper step for bidding to work with, which is the real constraint for smaller coaching businesses. Where volume is insufficient, value-based bidding using a modelled value per registration — weighted by the source's historical attendance rate — is a workable intermediate.

Structure by problem, not by course. People do not search for your course name. They search for the problem it solves. Ad groups built around your curriculum will miss the entire market; ad groups built around the searcher's problem will find it.

Brand and competitor terms behave unusually. Coaching is a personality-led market and people search for individuals by name. Your own name is high-value brand traffic. Competitor names are contested and often produce poor-quality traffic — people looking for a specific person are rarely persuaded to accept a substitute.

Beware the affiliate and review overlap. In this category a significant share of "your brand" search results are affiliate review pages. Bidding on your own name is often defending against people monetising your reputation.

Appointment intent is tightly geographic and tightly timed. Someone searching for a clinic wants to be seen this week and within a reasonable distance. That narrows targeting dramatically and makes the account small, focused and usually efficient.

Policy is the first constraint, not the last. Google restricts healthcare advertising in ways that vary by country and by treatment category, and some categories require certification before any ad runs. Establish what applies to your specific services before building anything — a campaign that cannot be approved is a wasted build.

Be conservative in ad copy. Outcome claims, guarantees and before-and-after imagery are the common causes of disapproval, and repeated violations escalate to account level.

Hours-aware bidding. If appointments are booked by phone and the phone is answered 9am to 7pm, bidding at 2am buys clicks that cannot convert. Ad scheduling matters more here than in most verticals.

Symptom searches versus treatment searches. "Knee pain" is a research query from someone who may not seek treatment at all. "Orthopaedic surgeon near me" is a patient. Keep them apart — symptom terms have enormous volume and terrible conversion rates, and mixing them with treatment terms is how a clinic account quietly spends its budget on people reading about their knees.

Trust signals are the landing page. Practitioner names, qualifications, registration numbers, years in practice, the actual clinic photographed. Medical decisions are trust decisions before they are price decisions.

Handle data carefully. Health information is sensitive personal data in most jurisdictions. Do not pass condition or treatment detail into URL parameters, analytics events or conversion payloads. Beyond the legal exposure, remarketing that reveals someone's medical searches to whoever else uses their device is a serious harm and there is no campaign performance justification that outweighs it.

The defining feature is that the account looks dead on conversion volume while working perfectly on pipeline.

A handful of enquiries a month, a long sales cycle, and a deal value large enough that two of them make the year. Every default in Google Ads is built for higher volume and faster feedback, and applying those defaults here produces confident, wrong decisions.

Volume is the binding constraint on everything. Below roughly 30 conversions a month, Smart Bidding with a target has too little signal to optimise reliably. B2B accounts frequently sit at ten. The practical responses:

• Use Maximise Conversions without a target until volume supports one.
• Consolidate campaigns further than feels comfortable. Structural elegance costs you signal you cannot afford.
• Count a meaningful earlier step — demo request, pricing page engagement, trial start — as the primary conversion, so bidding has something to learn from.

Offline conversion import is not optional here; it is the entire game. Form fills from competitors, students and job seekers look identical to genuine prospects at the point of conversion. Only the CRM knows which was which. Capture the GCLID, upload the qualified and closed outcomes, and let bidding optimise toward pipeline.

Without this, you are optimising toward form fills, and the cheapest form fills in B2B are almost always the worst ones.

Value-based bidding, once you can. Deal values in B2B vary by an order of magnitude. Uploading actual or expected deal value with the offline conversion lets bidding pursue large opportunities rather than numerous ones.

Competitor terms are worth their high cost more often than in other verticals, because a prospect actively comparing named vendors is deep in an evaluation. Expect poor Quality Score and high cost per click, and judge them on closed revenue rather than cost per lead.

Expect the attribution to look wrong. Long cycles, multiple stakeholders, several devices, months between first touch and signature. Extend the conversion window to match the real cycle, use data-driven attribution, and accept that some genuine influence will never be visible in the platform.

Real estate

Expensive clicks and a lead file that is mostly unqualified unless the form does some filtering. Two levers matter more than anything else:

Qualify in the form. Budget range and timeline. This will reduce lead volume and increase lead quality, which is the correct trade in a category where sales time is the scarce resource.

Burst for launches, tighten in between. Project launches justify aggressive short-window spend. The rest of the year needs a much tighter keyword set focused on high-intent location-plus-property-type queries.

Report on qualified site visits, not enquiries. An agent who receives eighty enquiries and conducts three viewings has a lead quality problem that no amount of additional volume will fix.

Home and local services

Immediate demand, call-led, service-area bound.

• Service-area targeting with the "Presence" setting, matched to where you will actually travel.
• Call-only campaigns during working hours. For emergency services — plumbing, electrical, locksmith — this is often the highest-converting campaign type available.
• Negatives against DIY intent. "How to", "diy", "myself", "tutorial", "video". These queries have enormous volume in this category and none of it will ever call a professional.
• Local Services Ads where available, alongside rather than instead of Search. Different inventory, different pricing model, generally worth having both.
• Response time is a conversion factor. In emergency categories the business that answers first usually wins. That is an operational fix, not a campaign one, and it will outperform any bid adjustment.

The common thread

Across every vertical here, the same three things decide the outcome:

1. Whether the conversion you optimise toward corresponds to money. Registrations, enquiries and form fills are proxies, and the gap between the proxy and the revenue is where accounts fail.
2. Whether budget reaches buying intent rather than research intent. There are always more researchers, they always click more, and they will consume the budget meant for buyers unless something stops them.
3. Whether the page engages with the question the visitor actually has — usually price, availability, or whether you serve their area.

Everything else is adjustment. If your industry is not covered above, work through those three questions honestly and you will have found most of what a vertical-specific playbook would have told you.