Click-through rate (CTR) data for GBA SP searches by query type is not available for Retrofit in 2026, so this page does not publish a benchmark table. The inputs carry no Search Console figures, no keyword volume and no CTR by query type. A benchmark page with invented numbers is worse than no page, so every figure below is a method, not a result.
- No verified gba sp search ctr by query type exists in the 2026 data, so no benchmark table is published.
- Pull your own Search Console query data and group it into four query types to build a real benchmark.
- Judge each group against your own overall CTR, not against a third-party average.
- Retrofit sells modded GBA SP consoles in Australia; model-specific pages are the place to act on your findings.
Why this matters
A CTR average from another site tells you little about a niche like modded Game Boy Advance SP consoles. Query mix differs sharply between a shopper searching a specific shell edition and a fixer searching for a repair. A benchmark only helps when it compares like with like, on your own pages and your own queries.
The short answer
The average CTR for GBA SP searches by query type cannot be stated from the data supplied for 2026. The inputs show no impressions, clicks or positions. Any number quoted here would be invented, so none is.
The benchmark table to build
This is the table the page would carry once the data exists. Fill it from Google Search Console, 28 days or longer, with the Performance report filtered to queries containing "gba sp".
| Query type | Example pattern | Impressions | Clicks | CTR | Avg. position |
|---|---|---|---|---|---|
| Overall (yardstick) | all gba sp queries | from GSC | from GSC | from GSC | from GSC |
| Product and edition | gba sp shell edition names | from GSC | from GSC | from GSC | from GSC |
| Upgrade and mod | ips v5 screen, usb-c charging | from GSC | from GSC | from GSC | from GSC |
| Repair and fault | hinge, screen bleed, won't turn on | from GSC | from GSC | from GSC | from GSC |
| Comparison and buying | best, vs, where to buy | from GSC | from GSC | from GSC | from GSC |
The "Overall" row is your yardstick. Every other row is read against it.
How to read the result
Once the table is filled, name the winners and losers with their numbers in one sentence: the top query type leads at its CTR, the bottom one trails at its CTR. That sentence is the finding. Position matters here: compare CTR only between rows with similar average positions, or a high-ranking row will look better than it is.
Methodology and limits
The method is a Search Console export, grouped by query pattern, with CTR calculated as clicks divided by impressions per group. The main limit is that Search Console samples low-volume queries and hides some of them, so small groups give unstable CTR. Treat any group with few impressions as directional only.
How to use these benchmarks
- Fix the lowest-CTR group with high impressions first. That is the largest unclaimed traffic. Rewrite titles and descriptions on the matching pages.
- Match page type to query type. Edition queries belong on product pages such as the Mewtwo edition; fault queries belong on repair guides.
- Re-measure after 30 days. Change one group at a time so the CTR movement has a clear cause.
- Track against your own overall CTR. It is the only yardstick the data supports in 2026.
Browse modded GBA SP consoles
Refurbished and modded Game Boy Advance SP consoles built in Australia.
FAQ
What is the average CTR for GBA SP searches?
No verified average exists in the 2026 data supplied here. Build your own from Search Console and compare each query type to your overall CTR.
Which query type gets the best CTR?
That cannot be stated without Search Console data. Branded and specific edition queries usually show the clearest intent, but only your export confirms it.
How do I group GBA SP queries by type?
Export queries from the Performance report and tag them by pattern: edition names, upgrade terms, repair faults, and comparison or buying phrases.
How long should the data period be?
Use at least 28 days. Longer periods stabilise CTR for low-volume query groups.
Should I compare CTR across groups with different positions?
No. Compare groups at similar average positions, because position drives CTR more than query type does.
Where can I read related demand data?
Retrofit publishes a guide to search demand by model variant, linked under related guides below.
One last thing
The most useful row is rarely the biggest one. Look for a query type where impressions are high but CTR sits below your overall figure: that gap is a title and description problem you can fix in a day.
