Shopify Store Reports & Analytics

Types of Shopify Reports

Acquisition reports , Behavior reports, Customers reports, Inventory reports, Marketing reports, Order reports, Profit reports, Retail sales reports, Sales reports, Custom reports.

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Acquisition reports

• Sessions over time: This displays the quantity of visitors throughout a specific time period.
• Sessions by referrer: This displays the quantity of site visits and session referrals made by a certain source, such as a Facebook ad or affiliate link.
• Sessions by location: This displays the nations and areas from which customers are logging on to your website.

Behavior reports

• Online shop conversion over time: Displays the percentages of customers who have made purchases over a chosen time frame.
• Online store performance: Compares your store's performance to other Shopify stores and industry norms.The rate at which your shop converts product recommendations into sales over time may be seen here.
• The most popular search phrases for your online store are shown here. Your customers use these terms to find goods or pages there. The Top Online Store Searches with No Results report lists the most popular queries that turn up nothing.

Customers reports

• Consumers over time: Displays the number of customers who made purchases from your shop during a chosen time frame.
• Sales from new vs. returning customers: This comparison looks at the amount of orders that were placed by new vs. returning customers.
• Customers by location: View information on purchases and spending by customers in a certain area.
• Returning clients: View information on clients whose order history contains two or more orders. Customers with a single order in their order history are listed under the category of "one-time customers."
• At-risk clients: Displays information about repeat customers who haven't ordered in a while.

Inventory reports

• Inventory snapshot for the month's end: Displays the quantity of each product variety still in stock.
• Average inventory sold each day: Displays the typical quantity of each product variety sold each day.
• You may examine the percentage of stock sold for certain product variations over a customizable time frame using the "% of inventory sold" option.
• ABC evaluation by item: Assign a letter grade to each product variant depending on the share of revenue it has generated from your overall sales.
• Product sell-through rate: Displays the proportion of your whole inventory that has been sold over a chosen time frame.

Marketing reports

• Sales attributable to marketing: Indicates how much sales may be linked to particular marketing initiatives.
• Sessions attributable to marketing: Displays the volume of online traffic coming from particular marketing efforts.
• Conversion by first interaction: Displays the quantity of first-time visitor orders as well as the typical order value, enabling business owners to identify the most productive referrals.

Order reports

• Sales attributable to marketing: Indicates how much sales may be linked to particular marketing initiatives.
• Sessions attributable to marketing: Displays the volume of online traffic coming from particular marketing efforts.
• Conversion by first interaction: Displays the quantity of first-time visitor orders as well as the typical order value, enabling business owners to identify the most productive referrals.

Profit reports

• Profit by product: Shows the overall profit by product for a chosen time period.
• Profit by product variation SKU: Shows the overall profit of various product versions over a chosen time period.
• Profit by Point of Sale location: This information is very helpful for retail businesses with many physical locations since it displays the gross profit per point-of-sale location.

Retail sales reports

• Comparison of data from each of your suppliers and the items each vendor offers, categorized by POS location, for retail sales by product vendor.
• Retail sales broken down by product type: Displays sales of particular product categories organized by POS location.
• Retail sales by Point of Sale location: Displays sales from every POS location, enabling you to identify the top-performing retail locations.
• Retail sales made by register staff: This report details the sales generated by each employee, making it ideal for monitoring each employee's particular sales targets.

Sales reports

• Sales over time: Displays the volume of orders and overall sales you've generated over a given time frame.
• Sales by product: Displays a breakdown of a product's total sales, excluding shipping.
• Sales by product variant SKU: Displays a breakdown of a variant's overall sales, exclusive of shipping.
• Vendor sales breakdown by product: Displays a breakdown of the sales made by each of your vendors.
• Sales by discount: Shows your sales organized according to the name of a discount that was applied.
• Sales by traffic referrer: Displays sales groups according to where a visitor came from, such as a particular website, online advertisement, or Google search.
• Sales by billing location: Displays sales organized according to the nation or territory where the order's billing address is located.

Custom reports

With custom reports, Shopify merchants may target particular data that could be especially important to their shop by altering any of the default reports using filtering and editing tools. Say, for instance, that you executed a marketing campaign to advertise a new product and used email marketing, Twitter, Facebook, and Google advertisements to target customers. You could run a marketing report that showed the sales that were attributable to marketing, but with custom reports, you could also examine sessions, leads, and sales from each marketing channel to get a deeper idea of which platform was more beneficial to your campaign. By selecting Create custom report under Analytics > Reports, you can create a unique report.

Shopify reporting apps

Report?Pundit , Data Export Reports , BeProfit - Reports & Analytics , Report?Toaster

analyze Shopify reports

• we must continue because beneath the surface you'll discover:
• the solutions to important business questions (and new questions to ask, too).
• There are issues that are costing you money that you are not aware of.
• Quick wins and adjustments to raise your conversion rate and user experience (UX).

posing pertinent inquiries to your data

Therefore, we all desire the secrets that lie under the surface. The issue then becomes: How do you descend? by probing deep inquiries into your shop.

You will be gazing down a lot of data if you open your analytics. With so much volume, it rapidly becomes overpowering. It helps to have a list of questions you want answered so that you can concentrate your efforts.

You won't be browsing about aimlessly hoping an insight may strike you in this manner. (Though it would be lovely, this doesn't occur.) You must have a goal.

So, what would be a decent question? A good query.

What am I going to alter as a result of the response to this question, when you believe you have an excellent question? It's a bad question if there is no response.

For each question, try to think of a "if this, then that" scenario. This will happen if the response is yes. If the response is "no," do this.

Here is a quick method for formulating pertinent queries for your data:

• Go over your website and search for any issues. In essence, you're looking for something that doesn't function as intended in order to "break" your shop.
• The issues, worries, queries, and so on that you note throughout the walkthrough should be noted down.
• Use your analytics to validate the issues and worries and provide the answers.

It is beneficial to have a planned walkthrough approach for step one. For instance, decide on a few crucial elements in advance to remove your prejudices and subjective opinion:

• Is there anything challenging? How might it be made simpler? Is there anything stopping your customers from purchasing?
• Is there anything keeping your visitors from taking whatever action it may be that you want them to take? For instance, placing an item in your shopping basket or paying.
• Motivation: What is enhancing or detracting from the visitor's motivation? Are they driven enough to carry out your most important task?
• Relevance: Is the entire page pertinent? Is there anything insignificant or irrelevant? Does every element on the website support the desired action?
• Clarity: Is it apparent what the good or service is worth? Is it apparent what to do next? Is the desired action obvious? Is anything unclear?

In statistics, there is an adage that Ronald H. Coase popularized:

Torture data long enough and it’ll confess to anything.

_______________________Ronald H. Coase

You will discover the solution if you search for it specifically. It might be challenging to eliminate cognitive biases during analysis, so try to focus more on your questions than your presumptive answers.

A excellent X would be.

What is a reasonable volume of traffic per month? A good conversion rate is what? What is a good order value on average? What's a decent...

These questions don't really have a true solution. Of course, you may look to industry standards and averages, but frequently they are more intriguing than useful.

What, for instance, will you alter about your company now that you are aware that the typical retailer in your sector receives 100,000 visitors each month?

If your monthly traffic is less than 100,000, you may make a commitment to raise it. But aren't we constantly attempting to boost traffic? Will you stop worrying about traffic growth if you reach 100,000 monthly visitors?

A healthy monthly traffic volume is larger than you experienced the previous month. The same is true for each additional metric you are monitoring.

It all comes down to what is best for you and your business.

beginning with the value

If you don't have time to run through the entire store at this moment and are unsure of where to begin your tour, start where the largest opportunities are. That reduces to three groups:

• Low value, high volume pages. These are pages that receive a lot of traffic yet generate little money. So, for instance, this blog article can be outdated.
• High-value, low-volume pages. These are pages that receive less traffic, but higher-quality traffic that has a greater conversion rate. Take your checkout page, for instance.
• the sales channel. Organize your sales process into distinct phases. Step one is the homepage, step two is the collection page, step three is the product page, step four is the basket, and step five is the checkout. You can probably come up with a number of paths your visitors will follow to make a purchase because linear funnels are rapidly becoming obsolete.

Funnels are very fascinating. You can determine precisely where your funnel is leaking if you collect data at each stage. People are falling down most commonly there. For instance:

• 100 individuals reach a collection page.
• 50 visitors arrive to a product page.
• A product is added to the carts of 40 customers.
• This (very simple) funnel example demonstrates that the largest leak is on your collection page, where you lose half of visitors. Therefore, that's a fantastic location to start looking for questions that you can use to subsequently evaluate your data.

Keep in mind that the necessary impact decreases as you move deeper down the funnel. For instance:

• 100 individuals reach a collection page.
• 50 visitors arrive to a product page.
• A product is added to the carts of 40 customers.
• There are 20 checkout button clicks.
• The checkout is completed by 4 individuals.

Consider raising the number of completed checkouts in this example from four to six. That is a 50% gain that is extremely near your bottom line. Imagine increasing the number of visitors to a product page from 50 to 52. The further up the funnel it is, the less influence it will have.

Making your funnel's bottom correct might be really beneficial for your business.

Analyzing and optimizing your business:

Your burning queries will inevitably be answered by additional questions. Asking questions, looking for answers (both in reports and on your site), and then asking better questions later on are all steps in the continual process of analyzing reports. Continue cutting and dicing while playing with columns and filters. Don't only report on what's visible on the surface.

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