Sector:Retail / Eyewear (independent optician)
Context: Optique Oqba, an independent optical store in Agdal, Rabat, relied almost entirely on foot traffic and word of mouth. Its Google Business Profile was incomplete, with no regular photos or posts, very few reviews, and no consistent way for prospective customers searching online to find or trust the store before walking in.
What Haimaze put in place: a full optimization of the Google Business Profile (categories, hours, services, photo library of the store and frame selection, regular posts), a structured process to request reviews from satisfied customers, and locally targeted awareness campaigns promoting eye exams and seasonal frame offers to nearby residents, using the same AI-driven local targeting approach applied across Haimaze’s other retail clients.
What Changed in Practice
- A complete, review-worthy Google Business Profile where the listing previously showed little more than an address
- A steady flow of new Google reviews instead of a handful accumulated by chance over years
- Locally targeted awareness campaigns reaching residents near Agdal actively searching for an optician, rather than relying on passers-by alone
Progress Observed Over the First 6 Months
Typical trajectory: a gradual rise in monthly appointment requests, driven by the strengthened Google Business Profile, the growing review base, and continuous AI optimization of local ad targeting, with a cost per appointment that falls as the model learns which nearby audiences convert best.
Illustrative figures built from the typical trajectory observed for this type of engagement (exact analytics data not retained).
Illustrative monthly progression: appointment requests moving from roughly 6/month in month 1 to 34/month by month 6, while the cost per appointment index drops from 100 to about 55 over the same period as targeting improves.
Frequently Asked Questions
Most independent retailers start seeing steadier appointment inquiries within the first two to three months, as the profile becomes more complete and reviews accumulate. Full impact typically builds over six months as AI-driven local targeting refines which nearby audiences convert best.
The listing had only a name and address, with no consistent photos, service categories, hours, or posts, and very few customer reviews. This left it largely invisible to shoppers searching online, even though the store was well known locally.
Rather than targeting a fixed radius or generic audience, AI-driven targeting continuously learns which nearby residents are actively searching for related services and adjusts bidding and audiences in real time, lowering cost per appointment as the model improves.
Yes. The same combination of Google Business Profile optimization, structured review requests, and AI-driven local targeting has been applied across other Haimaze retail clients with comparable improvements in visibility and appointment requests.
Yes. A steady flow of recent, authentic reviews signals trust to both Google’s local ranking algorithm and to prospective customers comparing options, which is why a structured review-request process was a core part of this engagement.
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