We built an AI agent that analyzes user sessions to help you understand why visitors leave without signing up or converting. It also identifies where users get stuck and where they tend to leave.
I spend quite a bit of time looking at ecommerce websites, whether it's checking competitors, reviewing SEO, or just trying to understand how a site is performing.
One thing that always bothered me was having to jump between different tools just to get a basic overview of a website.
So I started building a Chrome extension called DTCUP Analysis.
The idea is pretty simple: open a website, click the extension, and get a quick overview of its traffic estimates, trends, page content, technical SEO, and structured data.
I'm still improving it, especially how the information is presented and which metrics are actually useful.
For those who regularly research competitor websites, what information do you usually check first
Hey guys, so I started cleaning up the product descriptions on our Shopify store because a lot of them were basically copied straight from the supplier. Figured I'd fix the wording and SEO fields while I was at it.
Except now I'm spending more time checking the info than actually rewriting anything lol. One product has care instructions, another mentions the material in the title but nowhere else, and some descriptions are just a bunch of adjectives. AI can make the wording sound better, but it can't fill in product details that were never there to begin with.
I've been working through the products with decent info first and leaving the rest for later, but that list of unfinished products just keeps growing.
How do you guys handle this before doing bulk rewrites? Do you set a minimum amount of product info before touching a listing, or just work with what's available and fill in the gaps later?
I’ve been working with this Shopify brand for the last 10 months, and SEO is finally compounding month after month.
In the last 28 days, organic revenue increased by 252.18%, while organic purchases grew from 96 to 253 compared to the previous 28 days.
Here’s what I focused on:
1. Optimizing collection pages for buying intent
Instead of chasing traffic alone, I focused on transactional keywords that potential customers actually search for when they’re ready to buy. I optimized collection pages around these keywords and their search intent.
2. Publishing 12 blogs every month
I built topical authority by targeting informational queries customers search before making a purchase. The goal was to attract relevant TOFU traffic and build visibility across the entire buying journey.
3. Using internal linking strategically
This is one of the most underrated SEO tactics.
When a blog starts attracting traffic, I use relevant contextual links to connect it to collection pages targeting commercial keywords. This helps search engines discover important pages and understand their relevance. Some collection pages can then improve their rankings over time.
4. Adding product images and CTAs to blogs
Informational traffic doesn't automatically translate into sales. I started adding relevant product images and contextual CTAs within blog content to introduce readers to the products while they’re already engaging with the topic.
The primary goal is to create more relevant product discovery opportunities, not assume every blog visitor will convert.
5. Building backlinks through digital PR
I work on at least two paid PR placements every month, prioritizing relevant, niche-specific websites and contextual links pointing to important collection pages.
The focus is on building authority for pages that have commercial value, rather than acquiring backlinks just to increase a metric.
The results after 10 months of consistent SEO
Over the last 28 days, compared with the previous 28 days:
Organic revenue: ₹78,140 → ₹275,191 (+252.18%)
Organic purchases: 96 → 253 (+163.54%)
Items added to cart: 406 → 754 (+85.71%)
Items viewed: 1,808 → 1,937 (+7.13%)
The biggest takeaway for me is that SEO isn't just about increasing traffic. It's about getting the right pages to rank, attracting the right audience, and connecting informational content with pages that drive revenue.
None of these tactics is revolutionary on its own. The difference comes from executing them consistently and making sure they work together.
If you want to learn more about e-commerce SEO and grow your sales organically, feel free to connect. Always happy to share insights and strategies that work!
I run a small Shopify store myself and kept forgetting to translate new products, so half my store ended up in the wrong language. So I built Unlost: every new product or change is live in every language within a minute, automatically.
What it does that Shopify's own Translate & Adapt doesn't:
\- translates the text that sits in your theme code and comes from other apps (reviews, filters, popups), which T&A can't reach
\- reads your store first to pick up your brand voice, so it doesn't sound like a generic machine translation
\- lets you set the tone per language (formal or informal), plus a glossary for your own terms
\- keeps product and brand names as they are
\- also does URLs, SEO titles, alt texts, menus, metafields and your order emails
I'm looking for real stores to test it on, so here's the offer: drop your store link and up to 5 languages you want, and I'll set it up and translate your store for free. The translations are saved in Shopify itself, so you keep them, even if you remove the app after.
I'll do the first 20 stores (up to about 1,000 products each). All I ask is honest feedback on anything that reads weird.
We built AI agent that looks for money for you, negotiates bills for you, Lower internet, cable & phone bills
Cancel unused subscriptions
Re-shop auto & home insurance
Credit-card APR & fee reductions
Student-loan refinancing & forgiveness
Hello everyone, we built a tool that is trained on 100,000+ user sessios and it tells you why each of your user did not convert - its a free tool - www.retentionbase.com
comment if you need invite code - first 100 customers won't need an invite code
Sharing a quick SEO case study based on Google Search Console data.
Results in 3 months:
Organic clicks: 648 → 1,960 (202% growth)
Impressions: 11.6K → 97.8K (743% growth)
Average position: 14.1 → 9.4
CTR: 5.6% → 2%
Here’s what I worked on:
1. Published 15 blogs every month
I focused on topics people actually search for, like black shirt combinations, jeans size guides, and outfit ideas. The goal was to target relevant keywords with decent search volume and relatively low competition which is helping me to build the topical auhtority.
2. Optimized collection pages
I researched transactional keywords and optimized collection pages around what people search for when they want to buy. The pages still have room to improve, but some are now bringing in 4–5 organic clicks daily.
3. Improved internal linking
I linked relevant blogs to other articles and collection pages. For example, a blog about shirt combinations could link to a relevant clothing collection, helping readers discover products while strengthening connections between pages.
4. Built around 50 backlinks monthly
Around 30% of these backlinks were dofollow. The aim was to build the website’s authority and support important collection pages. Backlinks were one part of the strategy, not the only reason for the growth.
5. Added product CTAs to blogs
I added relevant product and collection links within blog content so readers could move from getting styling advice to exploring products they might want to buy.
My biggest takeaway: SEO isn't just about publishing blogs or building backlinks. It's about connecting content, search intent, internal linking, and commercial pages.
Question for fellow SEOs: When growing a fashion e-commerce website, would you prioritize collection pages or informational blogs first?
We are a Shopify & E-commerce team helping brands build, improve, and grow their online stores. From store development and design to marketing and ongoing support, we provide complete e-commerce solutions tailored to your business needs.
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We help businesses create professional, user-friendly, and conversion-focused online stores while providing the ongoing support needed to grow.
Whether you're launching a new Shopify store, improving an existing website, or looking for reliable e-commerce support, our team is ready to help.
Have a project in mind? Send us a message and let's work together!
If you sell online, ranking on the first page of Google used to mean you'd won. And the big retailers like Amazon, Walmart and Best Buy were very good at ranking.
Google's AI Overviews are changing that. We ran 86 shopping searches on Google every day for 16 days and recorded every site the AI Overview cited. 1,331 answers in total.
Two things stood out:
- 7 in 10 shopping AI Overviews didn't cite a single big retailer. Big retailers and brand stores held 18% of the page 1 results, but only 7% of the sites the AI Overview cited.
- On buying searches ("best cheap gaming headphones", "air fryer best rated"), 84% of AI Overviews linked to Google's own product listings, Google Shopping.
The first part is good news for smaller stores. Being the biggest shop no longer buys you a place in the answer. If you carve out a niche and show real expertise in it, there's room for you.
So who does get cited? The people who have used and tested the product:
- YouTube in 68% of shopping answers
- Reddit in 26%
- RTINGS, a product testing site, in 23%
- The New York Times in 19%
The AI takes its opinions from reviews and real use, not from the shop selling the product. So if you want to sell online, here are three things you should be doing:
Show evidence your product does what you say it does. Not anecdotes, actual data: test results, measurements, before and after numbers. The testing sites the AI cites publish exactly this kind of thing.
Chase down reviews. Ask every customer, follow up, make it easy to leave one. Get your product in front of YouTube reviewers and into the Reddit threads where people in your niche ask for recommendations.
Get your products onto Google Shopping. Set up Google Merchant Center and keep your product feed clean and complete. On buying searches, that listing is the link the AI Overview gives people.
Tied of visitors not converting? use retentionbase.com - Retentionbase ai will look at 1000+ user sessions in 30 mins, and will tell you why each did not convert ( based on user activity and history )
Since GSC only keeps 16 months of data, I’m looking for a way to build up a historical archive so I can compare year over year and spot long-term trends.
How do you handle this? Do you export manually to Google Sheets or Excel on a schedule, use the BigQuery bulk export, connect it to Looker Studio?
I’d love to hear what’s worked for you, how much effort it takes to maintain, and whether there’s anything you wish you’d started tracking earlier.
I run a small fashion brand on Shopify in a competitive niche. Early on I wrote lots of blog posts for traffic and topical authority, and it worked. But now some posts compete with my collection pages for the same keywords (e.g. a guide about a style vs. the collection for that style).
My internal linking right now:
Homepage links to 3 top main collections, a few best selling products and the about and contact pages.
Menu links to all collections and the blog, no individual posts
Blog posts link heavily to products and matching collections
Collections have an SEO text block linking back to the matching posts
Product pages link to related collections, similar products and sometimes a post
Do you have any feedback on this? Or could you share what worked for you?
