Use caseLocal shopsFeature: Analytics1 min read
Poster, flyer or Instagram: find out what brings people in
A window poster, flyers, an Instagram post. One short link per medium, scans kept apart from clicks, and you finally know which one brings people in.
A neighbourhood bookshop organises a book signing. It puts a poster in the window, drops flyers at neighbouring shops and publishes an Instagram post. A week later, the room is full. But what worked?
One link per medium
The trick fits in one rule: one short link per medium, all leading to the same sign-up page.
| Medium | Link |
|---|---|
| Window poster | /signing-window |
| Flyers at the neighbours | /signing-flyer |
| Instagram post and bio | /signing-insta |
The poster and flyers each carry the QR code of their own link. Tags (signing, autumn) group them in the list so you find them in one click.
What the analytics show
In analytics, filter on the tag or look at the top links:
- Clicks and scans kept apart. Scans come from paper, clicks from screens. A flyer with no scans is a flyer nobody read.
- Time of visits. Window scans arrive during the neighbouring shops' opening hours; Instagram clicks in the evening.
- Cities. If visits come mostly from your town, your local media work.
- Devices and referring sites, to see who shared your post.
Every Monday, the organisation's owner also gets a summary of the week by email: visits, clicks and scans, trend, and the five most visited links.
Keeping the numbers
Analytics remain viewable according to your plan's history (30 days, 1 year or 3 years). For a detailed review, the CSV export gives one row per visit over the last 30 days: enough for a pivot table in your spreadsheet.
The bookshop's lesson
Their test showed that the flyers at the bakery got twice as many scans as the window poster. For the next event, they printed fewer posters and more flyers.
Measuring does not take a complicated tool. It just takes giving each medium its own link.