Meta & Google Ads · Eyewear
Paid ads for Eyewear Brands
Prescription remakes eat margin quietly. Track cost per net order after remakes or your ROAS is fiction.
The scoreboard
The number this category should be judged on
Cost Per Order Against Return and Remake Rate
Prescription remakes eat margin quietly. Track cost per net order after remakes or your ROAS is fiction.
Platform-reported ROAS goes in the monthly report because you should see it, but it is never the figure decisions get made on. Meta counts a sale it thinks it influenced. Your bank counts money that arrived. When those two disagree, the bank wins.
How buying actually happens here
Meta for style discovery, Google for prescription and brand search, and virtual try-on reducing returns
What gets accounts in trouble
Prescription and medical claims need care. Vision-correction promises attract review
Two channels
How each platform earns its budget in eyewear
Channel 01 — Meta
Creating the demand
Try-on and face-context video is the highest performer by a wide margin
Channel 02 — Google
Capturing the demand
Brand, prescription type and frame-shape terms carry the intent
Creative
What actually works in front of this audience
The creative direction
Faces, fit, scale on different head shapes. Product-only shots do not sell frames
The policy trap
Prescription and medical claims need care. Vision-correction promises attract review
The measurement fix
Server-side events and a clean product feed, so the platform bids against real revenue rather than a browser-side guess.
The category in depth
Paid ads for eyewear Brands: what decides whether this works
The accounts I take over in this category rarely fail on bid strategy. They fail because the number being optimised toward was never the number that pays the bills.
Here that number is cost per order against return and remake rate. Prescription remakes eat margin quietly. Track cost per net order after remakes or your ROAS is fiction.
Buying behaviour has a specific shape in this category, and campaign structure has to match it rather than fight it. Meta for style discovery, Google for prescription and brand search, and virtual try-on reducing returns
Policy is where accounts in this vertical get suspended rather than merely underperform. Prescription and medical claims need care. Vision-correction promises attract review This is not a theoretical risk, it is the most common reason businesses in this category lose an ad account entirely.
Creative is the largest controllable lever. Faces, fit, scale on different head shapes. Product-only shots do not sell frames
The plan
Your first 90 days of paid ads for eyewear Brands
Nobody fixes an ad account in a week. This is the order I work in, and roughly how long each stage takes before it is safe to make the next decision.
Fix the measurement
Feed health, purchase events and revenue reported after returns rather than at checkout.
Rebuild the structure
Campaigns reorganised around how this category actually buys, with policy-safe creative in place before spend rises.
Test what moves the number
Offer, creative, landing page. One variable at a time, with enough volume behind each test to mean something.
Scale what holds
Budget follows profitability measured on cost per order against return and remake rate, not on platform-reported return.
Fit
Whether this is right for you
I would rather lose the enquiry now than three months in. Here is who paid ads for eyewear Brands works for, and who it does not.
Good fit
You will probably do well here
- You already have sales coming from somewhere
- You know your margin or close rate, or will work it out with me properly
- You can fund testing for three months without risking the business
- You want one person accountable rather than a rotating team
Poor fit
Save your money for now
- You need results within a fortnight to survive
- You want a guaranteed return that nobody honest can promise
- Your margin cannot support the cost of a customer in this category
- The lowest management fee is your main criterion
Run eyewear Brands? Let us look at your account.
Thirty minutes, your numbers on the screen, and a straight answer about what is costing you money right now.
Book a free strategy call →FAQ
Eyewear and paid ads: the questions worth asking
Media spend goes directly to Meta or Google on your own card, so you always see the real number. My fee sits separately as a flat monthly retainer, agreed before anything starts and never a percentage of your spend. For eyewear brands the sensible starting point is enough budget to collect real conversion data - below that you are paying for noise, not learning.
Cost per order against return and remake rate. That is the number I report on and the number campaigns get scaled or cut against. Prescription remakes eat margin quietly. Track cost per net order after remakes or your ROAS is fiction.
Two to four weeks to stabilise tracking and structure, six to eight before I would trust a scaling decision. Meta for style discovery, Google for prescription and brand search, and virtual try-on reducing returns - and each of those stages has its own lag, which is why judging week one tells you almost nothing.
Prescription and medical claims need care. Vision-correction promises attract review. Beyond compliance, the most common failure I see is optimising to the wrong event. Fix the measurement first and a surprising number of performance problems solve themselves without touching a bid.
Next
Where to go from here
Meta Ads for eyewear Brands
The Facebook and Instagram side in detail, including creative and policy handling.
Read more →Google Ads for eyewear Brands
Search and Shopping structure built around this category buying behaviour.
Read more →Conversion tracking setup
The part that decides whether any of the numbers above can be trusted.
Read more →Ready to stop guessing what your ads are doing?
One call. Your numbers. A straight answer about what to fix first.