A full-stack Google Ads rebuild and GBP strategy for a fast-casual restaurant with two very different customer audiences — and what happens when you treat them that way.
A fast-casual Mexican restaurant with a catering arm was running ads that weren't converting and a Google Business Profile that wasn't ranking. The rebuild changed both.
Vamos Por Tacos is a fast-casual Mexican restaurant in Mississauga, Ontario — with a catering arm serving corporate events, private parties, and group bookings. The food had a loyal local following. Online, the business was nearly invisible.
Their Google Business Profile was bare and unoptimised. Their self-managed ads were pulling in irrelevant traffic with no conversion tracking in place. And the two very different customer journeys — someone hungry for lunch versus someone planning a corporate event for 100 people — were being treated as the same audience with the same ads.
The client had been spending on ads with no way to measure what was actually working. No data meant no ability to optimise — every decision was a guess, and Google's algorithm had nothing real to learn from.
A corporate event planner searching "catering Mississauga" and someone ordering lunch nearby require completely different messaging, keywords, and conversion paths. Running them together diluted both.
For a local restaurant, the Google Business Profile is the front door. Theirs was incomplete and not ranking — meaning potential customers were finding competitors first, every time.
Rather than adjusting what existed, the entire account was rebuilt with a clear architecture around the most important strategic decision: treating the restaurant and catering audiences as completely separate operations.
One of the most consequential decisions in this build was the order in which campaigns were launched. Performance Max was not activated from day one — and that was deliberate.
Launching Performance Max without a conversion history is one of the most common ways local businesses waste ad spend. PMax relies on Google's machine learning to find the right customers — but that learning is only as good as the data it's trained on. By establishing a foundation through Search first, the algorithm had clear, intent-matched signals to work from the moment PMax went live.
The biggest shift for Vamos Por Tacos wasn't the budget — it was the thinking behind the campaigns. Treating two fundamentally different customer journeys as one is where most local advertising goes wrong. By separating restaurant and catering into distinct strategies, and by sequencing the campaign build deliberately — Search before PMax, data before automation — every element of the account was working with intent rather than against it. The result is a business with a reliable paid channel, a growing catering pipeline, and a strengthened organic presence — all working together.
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