Travel & Visa Agency
An 11-month account restructure shifted optimisation away from raw form submissions and toward booked-client feedback, tighter search intent, message-matched landing pages and closed-loop conversion tracking.
An 11-month account restructure shifted optimisation away from raw form submissions and toward booked-client feedback, tighter search intent, message-matched landing pages and closed-loop conversion tracking.
The business operated at a scale where front-end lead volume was no longer enough. The account needed to distinguish between a form fill and a client that actually booked.
An 11-month account restructure shifted optimisation away from raw form submissions and toward booked-client feedback, tighter search intent, message-matched landing pages and closed-loop conversion tracking.
The funnel uses only the metrics supplied for this case. Where booked-job data is unavailable, it is not invented.
The account is judged from spend and traffic through to the strongest downstream signal available in the source.
Platform activity is useful only when it helps explain what produced commercially relevant demand.
The account was optimising toward a front-end action rather than the sales outcome.
Large spend magnified the cost of weak or ambiguous search demand.
Campaign promises needed to correspond more closely with page content and action.
Google Ads needed booking outcomes from the sales process.
Large budgets required clearer allocation around commercial intent.
Sustained spend depended on lead quality remaining useful to the business.
This section explains why the account changed, not every setting that was touched.
Feed booked-client outcomes back into the account rather than treating every form equally.
Align search theme, message and landing experience so fewer clicks arrive with the wrong expectation.
Use closed-loop performance to decide where additional spend deserves to go.
The work is grouped into the parts that changed the account's signal quality, search coverage or conversion path.
Connected front-end conversions to downstream booking data.
Tightened search coverage around useful demand.
Improved message match between ad promise and page experience.
Expanded spend while keeping booked-client feedback in the optimisation loop.
Where a case has confirmed-booking or client data, that feedback should sit closer to bidding. Where it does not, the page is explicit about the limit.
These figures are taken from the supplied case-study material. No missing booked-client or revenue metric has been inferred.
The $1M+ figure is managed advertising spend, not revenue.
This case is primarily about scale and signal quality rather than a single CPL figure. The supplied source states that spend continued converting into revenue and that client retention remained consistent, but it does not provide a verified revenue total or ROAS figure, so none is invented.
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