A Rajkot wellness business was generating attention through social advertising, but too few inquiries were becoming confirmed bookings. The issue was not simply a lack of visibility. The business needed to reach people at the moment they were actively searching for a local wellness service and ready to call.
Peregrine Ads built a focused, call-led Google Search campaign around that intent. By tightening keyword selection, filtering irrelevant searches, improving ad relevance, prioritising mobile calls, and aligning the schedule with the team’s ability to answer, the campaign reduced average cost per click from approximately ₹10 to ₹1.73. During the same optimisation period, the client-reported inquiry-to-booking rate increased from 30% to 80%.
This case study explains the strategy, the result, the limitations of the available data, and how we would adapt the approach for a new campaign today. For a broader overview of our paid-search work, explore our Google Ads campaign management service.
Result in one sentence: a simpler campaign, stronger search intent, better traffic filtering, and faster call handling helped the business turn a much larger share of relevant inquiries into bookings.
At a glance
| Item | Details |
|---|---|
| Business type | Local wellness business |
| Market | Rajkot, Gujarat |
| Initial problem | Advertising generated interest, but only about 30% of inquiries became bookings |
| Primary channel added | Google Search |
| Historical campaign format | Mobile-focused, call-only Search campaign |
| Initial structure | One tightly themed ad group with two ad variations |
| Average CPC | Approximately ₹10 before optimisation; ₹1.73 after optimisation |
| Inquiry-to-booking rate | Approximately 30% before; 80% after |
| Main optimisation levers | Search intent, negative keywords, ad relevance, mobile calls, scheduling, and ongoing review |
Measurement note: In this case study, “booking conversion rate” means the client-reported share of relevant inquiries that became bookings. It is not presented as the Google Ads interface’s click-to-conversion rate. Advertising spend, revenue, total clicks, total calls, and the exact reporting dates were not disclosed on the original public page, so this article does not calculate ROAS or claim a specific number of incremental bookings.
In this case study
- The business challenge
- Why search intent mattered
- The campaign strategy
- The optimisation process
- Results and interpretation
- How Google Ads and Meta Ads work together
- What we would implement today
- A repeatable framework for local businesses
- Frequently asked questions
The business challenge
The client already had an active social advertising presence. Those campaigns created visibility and interest, but the business still faced a commercial gap: many people who engaged were not yet ready to book.
That distinction matters. A person may notice an offer while browsing social media, save a post, or send a casual message without having immediate purchase intent. Someone searching Google for a nearby service is behaving differently. Their query can signal an active need, a preferred location, and a desire to take the next step now.
The client therefore needed a channel and campaign structure designed to:
- Reach people searching for relevant services in Rajkot.
- Make calling the business quick and obvious.
- Prevent spend on research, employment, free-service, and other irrelevant searches.
- Show ads when someone was available to answer.
- Improve lead quality, not merely increase traffic.
The aim was not to replace Meta Ads. It was to add a lower-funnel channel that could capture existing demand while social campaigns continued to support awareness and consideration.
Why search intent mattered
Search campaigns work best when the campaign mirrors the language and urgency of the potential customer. In this account, broad exposure was less valuable than relevance.
A query such as “wellness spa in Rajkot” contains three useful signals: the service category, the city, and an apparent desire to compare local options. A query such as “spa near me” can carry strong local intent when location targeting and business information are configured correctly. A booking-oriented search can be even more valuable because it suggests the person is closer to action.
The campaign focused on these commercially relevant patterns instead of treating every related phrase as equally valuable. This is the same principle we use across our digital marketing services: the channel, message, destination, and conversion action must match the customer’s stage of intent.
The campaign strategy
1. Start with a deliberately narrow structure
The initial campaign used one tightly themed ad group and two distinct ad variations. That structure gave the team a clean starting point for comparing messages without spreading a local budget across too many weak or overlapping experiments.
This does not mean one ad group is correct for every account. A larger service catalogue may require separate themes, landing pages, locations, or conversion goals. Here, the simple structure matched the limited scope and made early search-term and ad-level signals easier to interpret.
2. Target searches with clear local and commercial intent
Keyword selection centred on terms that indicated a relevant service need in Rajkot. The campaign avoided expanding merely to chase impression volume. Search queries were judged by whether they could reasonably lead to a qualified call and booking.
Examples of the intent patterns used in the original campaign included:
- Service plus city, such as “wellness spa in Rajkot”
- Local discovery, such as “spa near me”
- Booking-oriented service queries
These examples describe strategy, not a copy-and-paste keyword list. Match types, search behaviour, competition, landing-page relevance, and Google Ads policies should be reviewed for every account.
3. Build a negative-keyword feedback loop
Negative keywords helped prevent ads from appearing for searches that did not match the client’s commercial goal. Examples included free-service searches, DIY or informational queries, and employment-related terms such as “spa jobs.”
The important part was not a one-time list. The team reviewed real search terms, identified recurring sources of wasted spend, and refined exclusions while protecting useful traffic. Overblocking can remove relevant demand, so each exclusion needs context.
This search-term discipline supported two outcomes: fewer low-value clicks and clearer performance data from the traffic that remained.
4. Make the call path easy on mobile
The campaign was designed around mobile users who could move directly from a search result to a phone call. Removing unnecessary steps reduced friction between intent and contact.
The page originally described the setup as mobile-only. We have retained that historical detail without repeating its unsupported claim that more than 90% of Indian spa bookings occur on mobile. Device strategy should come from account data, call behaviour, and the quality of each conversion path—not from a universal percentage.
For campaigns that also send visitors to a page, a fast, clear, mobile-first experience remains essential. Our website development service applies the same conversion principle to landing pages: make the next action obvious and remove avoidable delay.
5. Schedule ads around real availability
Ads ran during business hours, when the client’s team could answer calls and handle booking questions. This connected campaign delivery to the client’s actual sales process.
An unanswered call is not only a lost opportunity; it can also make campaign reporting look healthier than business results. A call click may be recorded, but no booking can happen if the phone is missed. Scheduling reduced that disconnect and helped the team respond while the searcher’s intent was still active.
6. Test two purposeful messages
The two ads were written to test meaningful differences in value proposition and call to action. Performance was compared through relevant indicators such as ad engagement, call response, lead quality, and downstream bookings.
The objective was not to declare a winner after a handful of interactions. It was to collect enough signal to refine the message and allocate attention toward the variation producing stronger business outcomes.
7. Connect ad optimisation with front-desk performance
Campaign settings alone do not close a booking. The client’s response speed, conversation quality, availability, pricing clarity, and follow-up process all influence whether an inquiry becomes revenue.
Peregrine Ads therefore treated the campaign and the call-handling process as one conversion journey. This operational alignment is an important reason the inquiry-to-booking metric is more useful here than clicks alone.
The optimisation process
The improvement came through repeated small decisions rather than a single setting. The working cycle was:
- Review search terms: identify which queries produced relevant calls and which consumed budget without commercial value.
- Refine negative keywords: block clearly irrelevant patterns while avoiding exclusions that could suppress qualified searches.
- Assess ad relevance: compare how well each message matched the user’s query and intended action.
- Monitor average CPC: look for efficiency gains without buying cheaper but lower-quality traffic.
- Check call availability: keep delivery aligned with the hours in which the client could respond.
- Use booking feedback: judge traffic by the inquiries and bookings it created, not by click volume in isolation.
- Scale carefully: increase exposure only after the campaign showed repeatable relevance and manageable lead quality.
This is also why paid media, analytics, and conversion design should be planned together. Search can capture demand quickly, while search engine optimisation can build sustainable organic discovery around the same customer questions over time.
Results and interpretation
Average CPC fell from ₹10 to ₹1.73
The campaign’s reported average cost per click decreased by ₹8.27, an 82.7% reduction from the starting level.
| CPC measure | Reported value |
|---|---|
| Starting average CPC | ₹10.00 |
| Optimised average CPC | ₹1.73 |
| Absolute reduction | ₹8.27 |
| Percentage reduction | 82.7% |
Mathematically, ₹10 divided by ₹1.73 is approximately 5.8. If every other factor remained unchanged, the same media budget would therefore have the capacity to buy about 5.8 times as many clicks at the lower average CPC. That is a cost-capacity comparison—not evidence that the campaign produced 5.8 times as many calls or bookings.
Inquiry-to-booking performance rose from 30% to 80%
The client-reported share of inquiries becoming bookings increased by 50 percentage points, from 30% to 80%. The ending rate was approximately 2.67 times the starting rate.
| Booking measure | Reported value |
|---|---|
| Starting inquiry-to-booking rate | 30% |
| Optimised inquiry-to-booking rate | 80% |
| Percentage-point improvement | +50 points |
| Ending rate versus starting rate | 2.67× |
The result is consistent with a campaign that reached stronger-intent searchers and connected them to an available team. However, the public source does not provide the underlying sample size, total calls, booking count, ad spend, revenue, or a controlled attribution model. We therefore present the figures as this client’s observed result, not a universal benchmark or performance guarantee.
What the available data supports
- The reported average CPC became substantially more efficient during optimisation.
- The client reported a much higher share of inquiries becoming bookings.
- Search-term control, scheduling, message testing, and call handling were all part of the intervention.
- The campaign created a stronger connection between high-intent search behaviour and a direct booking conversation.
What the available data does not prove
- It does not isolate the exact contribution of each optimisation.
- It does not establish ROAS because spend and attributed revenue are not disclosed.
- It does not prove that every business can reach the same CPC or booking rate.
- It does not show whether seasonality, pricing, competition, or operational changes also affected performance.
That transparency is important. A useful case study should help a reader understand the work and evidence, not turn one account’s outcome into a promise.
How Google Ads and Meta Ads work together
This project was not a verdict that one advertising platform is always better than another. Google Search and Meta often solve different parts of the customer journey.
| Channel role | Google Search | Meta platforms |
|---|---|---|
| Typical discovery mode | A person actively searches | A person discovers content while browsing |
| Primary strength | Capturing existing intent | Creating awareness and consideration |
| Useful conversion paths | Calls, forms, purchases, visits | Messages, forms, traffic, engagement, purchases |
| Creative emphasis | Query relevance, offer, proof, action | Visual storytelling, audience relevance, offer, action |
For this Rajkot business, Search helped capture people closer to booking. Meta could still build familiarity, communicate offers, and generate future demand. Our Lotus Wellness Meta Ads case study shows how a social campaign can play that complementary role.
A complete growth system can also include consistent organic content through social media management, a fast conversion path, and remarketing where it is appropriate and policy-compliant.
What we would implement today
The campaign in this case study used the call-only ad format available at the time. Google has since announced that new call-only ads could no longer be created from February 2026 and that existing call-only ads will stop receiving impressions in February 2027. Google recommends moving to responsive search ads with call assets. See Google’s official guidance on the transition from call ads to call assets.
For a comparable campaign launched today, we would generally evaluate:
- Responsive search ads with relevant, non-repetitive headlines and descriptions.
- A verified call asset scheduled for staffed business hours.
- “Phone call leads” as a primary conversion goal when calls are the genuine commercial outcome.
- Call reporting and an appropriate minimum call-duration threshold, where supported.
- Location assets when a verified physical location helps the user decide.
- A mobile landing page as an additional path for people who prefer to check services before calling.
- Consent-aware first-party lead records that connect qualified calls with confirmed bookings.
This modernisation preserves the original strategic idea—capture high-intent local demand and make contact easy—while using the current Google Ads format.
A repeatable framework for local businesses
The exact result cannot be copied, but the decision process can be adapted.
Step 1: Define the business conversion
Decide whether success means a qualified call, confirmed appointment, store visit, completed form, or sale. Do not optimise around clicks if the business needs bookings.
Step 2: Establish a trustworthy baseline
Record the current CPC, qualified inquiries, bookings, booking rate, cost per qualified lead, and cost per booking. Use one definition consistently.
Step 3: Map high-intent searches
Group queries by service, location, urgency, and desired action. Write ads and landing-page content that answer the need behind each group.
Step 4: Protect the budget
Review actual search terms frequently. Add negative keywords when intent is clearly irrelevant, but avoid building an oversized list that blocks legitimate variations.
Step 5: Remove contact friction
Use accurate business information, a working phone number, a clear call asset, a fast page, and a visible alternative such as a form or WhatsApp when appropriate.
Step 6: Match ads to operational capacity
Schedule call-focused delivery when trained staff can respond. Track missed calls and follow-up time alongside advertising metrics.
Step 7: Optimise for quality, then scale
Judge keywords and ads by qualified outcomes. A low CPC is valuable only when the traffic can become real business.
Local service companies considering this framework can review our Google Ads options and pricing or speak with the team about a campaign built around their market and lead process.
When this approach is a strong fit
The approach is most relevant when:
- Customers commonly call before purchasing or booking.
- Search demand already exists for the service and location.
- The business can answer and qualify calls reliably.
- The service has enough value to support paid acquisition.
- Offline bookings can be recorded and connected to lead sources.
It may be a weak fit when the business cannot handle calls, has no clear offer, serves an extremely small search market, or cannot track whether inquiries become customers. In those cases, improving the offer, conversion path, brand presence, or measurement system may need to come first.
Key lessons from the campaign
- Intent can matter more than raw reach. A smaller pool of active searchers may create more commercial value than a larger pool of passive attention.
- Traffic quality and cost efficiency must be read together. Lower CPC is useful only if the resulting inquiries remain relevant.
- Negative keywords are an ongoing control system. Search behaviour changes, and the exclusion list should change with it.
- Ad delivery must match business operations. A campaign cannot compensate for unanswered calls or slow follow-up.
- Simple structures can create clearer early learning. Complexity should be added when the account’s services, volume, or evidence justify it.
- Platform metrics are not the final outcome. Bookings and revenue matter more than clicks alone.
Frequently asked questions
What exactly increased from 30% to 80%?
The original case study describes the client-to-conversion ratio. For clarity, this updated version treats it as the client-reported percentage of relevant inquiries that became bookings. It should not be interpreted as an 80% click-to-conversion rate inside Google Ads unless account-level tracking confirms that definition.
How did the average CPC fall to ₹1.73?
The reported improvement followed continued work on search relevance, keyword targeting, negative keywords, bidding, ad messaging, and campaign focus. Auction conditions vary, so ₹1.73 is a result from this account, not a promised CPC for another advertiser.
Why did the campaign run during business hours?
The primary action was a phone call. Showing the ad when the team could answer reduced missed opportunities and connected advertising activity with the real booking process.
Are call-only ads still available for new campaigns?
No. Google removed the option to create new call-only ads in February 2026. New phone-lead campaigns should use current formats such as responsive search ads with call assets, subject to account eligibility and Google Ads requirements.
Should a local business stop using Meta Ads and use only Google Ads?
Not necessarily. Search is useful for capturing active demand, while Meta can create awareness, communicate visually, and build consideration. The right channel mix depends on the offer, audience, market, conversion path, and budget.
Can Peregrine Ads guarantee the same result?
No responsible agency can guarantee a particular CPC, booking rate, ranking, lead volume, or return. Competition, demand, budget, offer strength, website quality, call handling, and platform changes all affect performance. Peregrine Ads uses structured testing and transparent reporting to improve the probability of a commercially useful outcome.
Build a Google Ads campaign around real business outcomes
Peregrine Ads plans and manages search campaigns for businesses that need qualified inquiries, calls, and measurable growth—not vanity traffic. Our work can cover keyword research, account structure, ad copy, conversion tracking, negative-keyword management, optimisation, and reporting.
Discuss your campaign with Peregrine Ads or learn more about the team behind our work.
Related work and insights
- Lotus Wellness: a Meta Ads growth case study
- Ambika Jewellery: social media transformation with AI-assisted visuals
- Nilkamal Paints: a 5,000+ product website case study
- Explore the Peregrine Ads portfolio
- Read more digital marketing case studies and articles
Case-study disclosure: Results are based on first-party campaign observations and client-reported booking outcomes described in the original Peregrine Ads case study. They represent one engagement and are not a guarantee of future performance. Platform features, policies, competition, and costs change over time.
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