Table of Contents
- What Is AI Search Analytics?
- Importance of Linking AI Search Analytics to GA4
- Mini Game: Which Search Is More Valuable?
- How does Shopify + GA4 + AI Search Analytics work?
- 5 Useful Insights You Can Get From AI Search Analytics
- The ₹10,000 Search Challenge
- ExpertRec’s Solution for Shopify Stores
- A Simple Shopify Example
- Weekly Analysis of Your Keyword Research
- Final Thoughts: Don’t Just Track Searches. Learn From Them.
Suppose you operate a Shopify store that specializes in handbags.
A customer searches for a particular item:
“Office handbag for women costing below ₹2,000 along with space for a laptop”.
Your store might offer what she is searching for, but what if she finds either casual handbags or an expensive handbag priced at ₹4,500?
In that case, the customer might leave the store.
Have you wondered how to find out whether this has happened?
Here, AI search analytics simply comes into play.
It shows what people search for, what they click on, what they don’t find, and what searches may lead to actual purchases. If your AI search analytics is used in combination with Google Analytics 4 (GA4) along with Shopify, the search box turns into much more than just a tool of navigation; it becomes a source of very useful information about customers.
Here comes ExpertRec into the picture.
What Is AI Search Analytics?
Conceive of AI search analytics as your store’s search investigator.
What can AI Search Analytics tell you?
- What are the queries of the customers?
- Which queries dominate the search?
- What search terms have yielded no results?
- What products have been clicked on?
- What searches translated into sales?
- What products or queries are trending?
For example:
| Search | Searches | Opportunity |
|---|---|---|
| office bag | 1,200 | High interest |
| laptop bag | 950 | High interest |
| waterproof laptop bag | 640 | Improve results |
| office backpack | 510 | Check no-results |
| bag under ₹2,000 | 420 | Strong buying intent |
That said, you have something much more practical, compared to the number of visitors. You have customer intent.
Importance of Linking AI Search Analytics to GA4
GA4 provides insights into the behavior of your website’s visitors.
Search analytics provides insights into the way visitors interact with the search.
The combination of these two provides a better understanding of the entire process:
For example, if a customer searches for the term “black laptop bag less than ₹2,000,” he will click on the product, cart it, and buy it for ₹1,799.
In this case, you will know not only the search query but also how it is connected to the company revenues.
Thanks to the GA4 integration by ExpertRec, users can get valuable information about revenues and know the trending products and categories.
AI Search Analytics for Shopify
Turn Search Data Into More Shopify Sales
ExpertRec helps you understand what customers search for, discover no-result queries, analyze search behaviour, and connect customer intent with your Shopify store performance.
Understand what customers are searching for
Turn search intent into better sales opportunities
Quick setup • AI-powered search • Shopify-ready • Search analytics
Mini Game
Which Search Is More Valuable?
Which of the following is more beneficial based on search results?
Which one do you prefer?
Automatically, the answer is not A. The second one, in fact, seems to have a better buying intent. The user is searching with a clear product, desired features, as well as price.
This is how search volume and search intent differ.
How does Shopify + GA4 + AI Search Analytics work?
You can think of all three as members of a team.
Shopify = Your Store
This keeps track of everything from products and product costs to stock and orders.
GA4 = Your Analyst
GA4 helps you to understand how visitors behave on your site.
ExpertRec = Your Search Specialist
This teaches you everything about what customers search for and how they discover products.
Thanks to ExpertRec, Shopify search comes equipped with the ability to process search results in AI fashion.
5 Useful Insights You Can Get From AI Search Analytics
1. Know What Searches Are Popular
Search behaviour is customer feedback.
Let us say you are in the beauty business.
Your customers search for: sunscreen, vitamin C serum, moisturizer, sunscreen for oily skin and SPF 50 sunscreen.
This means your customers have preferences.
Make use of this information to perfect your product collection, product page, content and marketing campaigns.
2. Discovering “No Results” Search Queries
“office backpack under ₹1,500.”
This task is one of the most beneficial to invest time in.
Suppose 300 customers search for:
“office backpack under ₹1,500.”
But your website replies with:
Here’s what this could mean.
Either your website lacks the product that the customers want or you have the product, but your customers are using the wrong keywords to find it.
In both cases, you have identified the opportunity.
3. Knowing Customers’ Real Intentions
Customers don’t necessarily search for the branded names of the products that you have. You can be selling the “Ergonomic Wireless Computer Mouse”, but the customer may use the search term “Mouse for long computer use.” In such search cases, regular keyword search will fail. AI-based searching can be more effective in establishing connections between the keywords and customer needs.
And that is especially true for queries like:
These are closer to how real customers actually search.
4. Identify Trending Products
Search growth = a signal
200 searches for Bluetooth earphones in the previous month
↓
1,500 searches this month.
That is a sign.
You may need to monitor the stock level, create a special collection, draw attention to the products, and enhance their ranking.
Search behavior can give you information about trends ahead of the sales figures.
5. Search for Profitable Searches
Now things get interesting.
Search A
10,000 searches
→ ₹20,000 revenue
Search B
1,500 searches
→ ₹1,20,000 revenue
Which is more important?
Search B.
This example explains how revenue generated by a certain search is more valuable than just looking at the number of searches performed.
Instead of asking:
“What are the users searching for?”
it can be asked:
“Which of the searches resulted in a profit for my business?”
Search Challenge
The ₹10,000 Search Challenge
Envision you have ₹10,000 that you can utilize for making improvements to your search functionality on Shopify.
Which issue would you address initially?
There is no unique answer.
The idea is to utilize your data to evaluate where you would put your efforts and what decision would bring about the most effect.
ExpertRec’s Solution for Shopify Stores
Although Shopify offers a native search engine, the increasing number of businesses may require a more complex search solution.
In such scenarios, the ExpertRec search engine can be integrated with Shopify to enable:
Search powered by AI
Getting an understanding of customer intent by way of not looking for exact keywords.
Autocomplete feature
Helping customers to see products while typing.
Typo tolerance feature
Making sense of searches like sneaker, instead of sneakers.
Synonyms
Helping connect terms such as sofa with couch.
Filters
Helping customers by refining their results by price, brand, colour, etc.
Analyzing search performance
Understanding popular searches and search queries with no results to their meaning.
Merchandising
Taking charge of product positioning for important queries.
A Simple Shopify Example
Assuming that you have a fashion store.
“party dress under ₹3000”
2,400+ searches
According to your statistics, the phrase
“party dress under ₹3000” gets more than 2400 searches.
But the conversion rate is not high.
The issue might be:
- Relevant products not displayed first.
- Filters are of little assistance.
- Some items might be missing.
- Clients cannot easily get the size filter.
- Too many irrelevant products are displayed.
This should give you hints.
Now you can avoid guessing what customers want.
Weekly Analysis of Your Keyword Research
You don’t have to be a pro with data.
You can simply answer the following five questions before you start:
1. Which search keywords give me the best results?
They tell you what your consumers are looking for.
2. Which keywords give me no return?
They show you where you may be missing out on your potential clients.
3. Which keywords produce clicks?
These will tell you the significance of the results.
4. Which keywords produce sales?
These will tell you your customers’ buying intents.
5. Which keywords are suddenly trending up?
These could give you an idea of a relevant trend or seasonality in the industry.
It’s enough to devote just 20-30 minutes to this task each week to start detecting interesting trends that you have never seen before.
Final Thoughts: Don’t Just Track Searches. Learn From Them.
The search box is not just an insignificant part of your Shopify store. Rather, it serves as a communication link between you and your customers.
When a customer searches for “gold earrings below ₹2000”, he or she is basically telling about the product you should sell.
Remember
When this happens on a daily basis, it is obvious that you have many data to work with in order to draw different conclusions regarding the meaning of this search.
With the help of AI, you can analyze your search and see that it shows you not only what people searched for but also what it actually implies for your business, especially when combined with Shopify and GA4.
Be sure not only to ask how many people entered your site, but also what people looked for.
You need to listen to those who are coming to your site!
