Shop Analytics
Shop Analytics — simple guide for shop owners
What this page is for: This page shows how customers are interacting with your shop online — page views, clicks, where visitors come from, and individual event records (who did what and when). Use it to understand what brings customers to your shop and which parts of your online listing are working.
Top summary (what you see immediately)
Page Views — how many times pages in your shop profile were opened.
Impressions — how many times your shop appeared in search results or listings (even if people didn’t click).
Total Clicks — how many times people clicked something on your listing (call, direction, website, etc.).
Unique Visitors — number of different people who visited (not counting repeat visits).
Why it matters: these four numbers tell you if people are seeing your shop and whether they interact with it. More impressions + more clicks = more potential customers.
Do this now: if page views are low, share your shop link on WhatsApp/socials and add 2–3 new photos to attract clicks.
Charts tab — visual meaning & quick actions
You’ll see 4 common charts (if data exists):
Event Counts (doughnut / pie)
What it shows: distribution of event types (e.g., page_view, click_call, click_directions).
Why it matters: helps you see which actions customers take most.
Do this now: if many page views but few clicks, add clearer call-to-action (phone number, "Call now" button) on your listing.
Page Types (bar chart)
What it shows: which pages on your listing are viewed most (product pages, gallery, about, contact).
Why it matters: tells you what customers care about — product pages? opening hours?
Do this now: if product pages have low views, feature best-sellers higher or add better photos and prices.
Traffic Sources (pie chart)
What it shows: where visitors come from (search, direct, social, referrals).
Why it matters: shows which marketing/channel works.
Do this now: if social traffic is low, post an offer on Instagram or Facebook and measure next week.
Click Breakdown (bar chart)
What it shows: counts of specific clicks (click-to-call, click-for-directions, website clicks).
Why it matters: tells you how customers prefer to contact or find you.
Do this now: if most people request directions, highlight your address and add a landmark in description.
Table tab — event records & details
What it shows: a list of individual events (event type, page type, traffic source, timestamp). Each row has a View button to open a modal with full event details: event data, visitor IP, user agent and referer (if available).
Why it matters: lets you inspect specific interactions — useful for troubleshooting or understanding unusual activity.
Do this now: click View on a recent row to see details (e.g., a long session suggests someone browsed products — follow up with a social post).
The details modal (technical but useful)
Shows JSON of event data (what the visitor did) and technical info:
IP Address — where the visitor came from (city/region may be inferred by you or admin tools).
User Agent — browser/device used (mobile vs desktop).
Referer — which site they came from (e.g., Google, a social post).
Why it matters: helps you decide whether to optimize for mobile, or where to post promotions.
What the metrics mean (plain definitions)
Page Views: total page opens (multiple views by same person count multiple times).
Impressions: times your shop showed up in search results or lists (may not be clicked).
Clicks: any clickable action (website, call, directions).
Unique Visitors: estimated distinct people (counts each visitor once).
Event: any tracked action (page_view, click_call, click_website, etc.).
Update frequency & coverage
How often: Analytics shown here are based on collected events — in many setups the data updates near real-time but some summaries may be updated daily. (If your organization has sync delays, check with support.)
Coverage: If you see “No analytics data available”, it means we have not collected interactions yet (new listing), or tracking is not enabled for this shop.
Simple tips to improve metrics
Boost impressions: add keywords and categories (use Trace Keywords), improve product titles.
Increase clicks: add clear call-to-action buttons, phone number, and a visible “Get Directions” link.
Convert visitors: add prices, quick descriptions, and 3–5 good photos on product pages.
Use traffic source insight: if social brings clicks, post weekly special offers on that platform.
Quick troubleshooting
No chart data: tracking may not be enabled or the shop is new. Check with your admin or wait 24–48 hours after adding content.
Numbers look off: ensure timezone settings and date range (if date filter exists) are correct; clear browser cache and retry.
Details modal empty or corrupt JSON: that’s likely a data parsing issue — note the timestamp and contact support with that event row.
Example action plan (30 minutes)
Open Shop Analytics → view top summary. Note impressions vs clicks.
If impressions high but clicks low → add 3 new product photos and ensure phone number is visible.
If traffic mostly from search → add two local keywords to description.
If many mobile users (check user agent) → ensure product images load fast and are mobile-friendly.
Who should use this and how often
Shop owners / managers: weekly check to spot trends and quick wins.
Marketers / social managers: daily checks after a campaign.
Accountant / operations: monthly report exports to check sales-conversion trends (if analytics connect to sales data).
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