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Connecting Google Analytics to your store

Why knowing how visitors actually behave on your store matters more than counting Instagram profile visits.

A store connected to customer profiles and returning conversations
Build the relationship · Editorial illustration

Instagram gives you a certain kind of insight into your audience: likes, story views, profile visits. What it does not tell you is what happens after someone leaves Instagram and lands on your actual store. Do they browse a few products and leave, or do they go straight to checkout. Do they arrive from a story link, a reel, or somewhere else entirely. Without that visibility, you are making decisions about your brand based on a partial picture.

What Google Analytics integration gives you

Your Varchas store supports connecting Google Analytics, which lets you see how visitors actually behave once they land on your store: which pages they visit, how they arrived, and what they do before leaving or buying. This is a level of detail that platform-level insights on Instagram simply cannot show you, since that data belongs to your store, not to a social platform.

VISUAL GUIDETurn a visit into a useful question
  1. 1Where did they arrive from?
  2. 2What did they view?
  3. 3Where did they leave?
  4. What needs improving?
An analysis framework, not live analytics or invented performance figures.

Why this matters for decisions you already make

If you have ever guessed at whether a story, a reel, or a particular post actually drove sales, Google Analytics gives you a real answer instead of a guess. You can see whether traffic from a specific source actually converts into visits and orders, which matters when deciding where to put your time and effort going forward, whether that is more reels, more stories, or a different channel entirely.

Understanding a Drop's actual performance

During a Drop, analytics can show you how many people actually visited your store during the release window, not just how many orders came through. This distinction matters if a Drop sells out fast, since it tells you whether that happened because of a small stock number or genuinely high demand, information that shapes how you plan your next one.

VISUAL GUIDEGive a launch a beginning and an end
  1. 01Prepare the collection
  2. 02Announce the date
  3. 03Open the Drop
  4. 04Review what sold
An example launch sequence; choose dates and stock levels for your business.

Analytics and your coupons

If you are running coupon campaigns, analytics can show you the traffic pattern around when a coupon was announced, giving you a fuller picture than just the order count alone. A spike in visits that did not convert into orders tells a different story than a coupon that converted well, and both are useful to know.

VISUAL GUIDESee what a discount leaves behind
YOUR WORKSHEET
Selling price
− Discount
− Product and fulfilment costs
= Contribution before other overheads
A conceptual calculation. Check your real costs before running an offer.

Setting this up

Connecting Google Analytics is done as part of your store setup, and does not require you to have any prior experience with analytics tools. Once connected, it runs in the background, and you can check it whenever you want a deeper look at how your store is actually performing, rather than needing to monitor it constantly.

What this is not

Google Analytics integration does not replace your order data or your admin panel, which already tells you what sold and to whom. It adds a layer on top, showing you the behaviour that led up to those orders, and the browsing that did not convert at all, which your order list alone cannot show you.

Next step

If you currently have no way to see what happens on your store beyond the orders that land in your inbox, connecting analytics fills that gap. The Founding Offer covers the first 10 stores with setup done together. Get in touch at /early-access.

Connecting Google Analytics to your store — varchas.store