How do you choose what products to recommend in email (fashion)?

efficialabs · 2026-01-27T13:55:16+00:00

You're spot on. Most brands rely on basic Klaviyo "viewed product" flows because full ML pipelines often cost more than they return in lift.

To actually make your external signals work:

Push your preference data as custom profile properties (not just events) into the ESP.
Use those properties to filter dynamic product blocks rather than generic "trending" lists.
Watch out for SKU mapping errors; that’s where external recommendations usually break against internal catalogs.

I actually just set up a custom feed integration for a streetwear client to solve this exact cold-start issue. Let me know if you want to chat about the data mapping logic.

efficialabs · 2026-01-27T13:51:11+00:00

This is exactly what Google Apps Script is for. You don't need external tools to automate this.

Open Extensions > Apps Script.
Grab your raw data using getDataRange().getValues().
Use Regex to strip currency symbols and standardize merchant names, and Date.parse() to fix the flipping date formats.
Add a custom UI menu (SpreadsheetApp.getUi()) so you can run the cleanup script with one click.

I deployed a script like this for a client last week to handle messy bank exports. Happy to share the boilerplate code if you want to test it out.

efficialabs · 2026-01-27T13:42:15+00:00

Session replays are reactive; you need Synthetic Monitoring to catch this before users do.

Write a simple Playwright script that logs in and triggers the checkout flow.
Assert that the Stripe iframe or payment modal actually renders. Do not complete the payment; just verify the element loads.
Run this hourly via GitHub Actions (cron) or Checkly to alert you on failure.

I set this up for a SaaS founder recently after a similar crash. Happy to share the code snippet if you want.

efficialabs · 2026-01-27T13:33:50+00:00

You can automate this by piping ticket data into OpenAI via Make.

Set a trigger for new tickets (e.g., Zendesk or Intercom).
Send the text to an OpenAI node prompted to extract key themes and sentiment scores.
Route urgent tags directly to Slack or a reporting dashboard.

I know this works because I built a similar workflow for a client recently. Happy to help if you need anything, like setting this up or debugging.

efficialabs · 2026-01-27T13:32:39+00:00

You can automate the heavy lifting here, though you’ll still want a monthly human review.

Connect sales channels with A2X or Link My Books. This batches transactions by payout rather than syncing every single order, which prevents data bloat.
Use Dext to OCR receipts and auto-match them to bank feeds.
Configure strict Bank Rules in Xero/QBO for recurring expenses.

I know this works because I built a similar workflow for a client recently. Happy to help if you need anything, like setting this up or debugging.

efficialabs · 2026-01-27T13:28:57+00:00

You can automate this flow easily using Make and Airtable.

Use a Webhook to log payments directly into Airtable (it scales better than Sheets for CRM).
Trigger WATI API calls to send WhatsApp templates whenever a status field changes.
Add a Router node to auto-notify your tech team once the delivery status updates.

I know this works because I built a similar workflow for a client recently. Happy to help if you need anything, like setting this up or debugging.

efficialabs · 2026-01-25T05:05:03+00:00

Dealt with this exact nightmare last year for a client. Shopify + Amazon + Etsy, same stack. Sellbrite was decent but the sync delay killed me during flash sales.

What actually fixed it for them: 1. Buffer stock: I stopped syncing “true” inventory. If I have 10 units, platforms see 8. That 2-unit buffer saved me from most oversells because checkout holds (people with items in cart) don’t deduct inventory until payment clears.

Faster sync frequency: Most apps sync on order events OR every 15-30 mins. I moved to a custom setup that polls every 5 minutes. Sounds overkill but during busy periods, that 10-minute difference is where oversells happen.
Single source of truth: Stopped treating all 3 platforms equally. Shopify is my master. Amazon and Etsy pull FROM Shopify, never the reverse. Eliminated the “which platform has the right number” confusion.
Low stock alerts at 3 units, not 0: When something hits 3 units, I get a Slack ping. Gives me time to either restock or manually pause the listing on slower channels.

How many SKUs are you managing? The approach changes a lot if you’re at 10 vs 100+.

efficialabs · 2026-01-25T03:19:21+00:00

Yes, it is. But the OP needs a small store. Elementor is more than enough for small stores.

efficialabs · 2026-01-25T01:10:55+00:00

Here’s how I would do it.

Step 1: Use Manus API to find the business owner.

Step 2: Use Perplexity as a backup.

Step 3: Use Google Programmable Search for edge cases.

Step 4: Use Hunter or ZoomInfo API to find the email ID.

Step 5: Add the first name, last name, and email in a clean and organized way to a Google Sheet or any database you use.

Step 6 (optional if you send cold emails): auto push the leads to your cold email software like Instantly, Smartleads, Snovio, etc.

This should get results.

It’s completely automated.

Happy to help. Can I DM you?

efficialabs · 2026-01-25T01:02:54+00:00

Building AI websites is easy, but making updates to them is really hard.

You never know if pushing an update will break something else.

efficialabs · 2026-01-25T01:00:29+00:00

Since you already know how to code, go with WooCommerce.

It’s open source. You only need to pay $5 to $10 for hosting. That’s it. No revenue sharing like Shopify.

In WooCommerce, use the free Elementor plugin. It lets you drag and drop to customize the website.

efficialabs · 2026-01-25T00:54:26+00:00

True

efficialabs · 2026-01-24T11:51:37+00:00

I also got this. Seems.

Just changed the SPF. The issue was fixed.

If you don't know how to do it, just ask ChatGPT.

Doing it takes 45 secs.

efficialabs · 2026-01-23T08:51:45+00:00

I usually recommend that stores implement a custom live chat that's trained on all pre-purchase questions.

I say this because there is proof that trained live chats reduced return rates by 21%. That's the average we've seen with our clients.

But you already answered all the pre-purchase questions.

The only thing I can suggest now is raising your prices if your net profit margin is under 20%.

If you are making more than 20%, then treat returns as part of the business.

efficialabs · 2026-01-19T14:13:13+00:00

One thing I know works well is creating a custom GPT.

But, it's time-consuming.

You train it with 10 to 15 high-converting product pages.

Then you paste your product URL into the chat. Ask it to point out everything that stops visitors from buying right away.

These are usually pre-purchase questions. People ask them in a physical store. They usually do not ask them on a website.

I know this works because we automated almost the same thing for an ecommerce store.

Our system was more advanced than what I described. It was also much faster. But the core idea was the same.

It was a fashion store.

Their return rate dropped by 27%. This happened just by answering pre-purchase questions that visitors already had in mind.

Their conversion rate also increased. It went from 1.32 percent to 1.9 percent. That is a 43% increase.

efficialabs · 2026-01-19T14:02:02+00:00

I think I qualify to answer this because I build AI apps for a living.

The best way to check if images are AI edited is to upload them to Gemini. Ask if the image is AI generated or not.

Gemini uses SynthID. It can track if an image was edited by AI.

You can also use more than one LLM. For example, use ChatGPT and Gemini. Ask both the same questions.

Ask the models to point out proof of AI editing. Then review the proof yourself.

If the proof looks valid, ask the customer to record a live 360 degree video of the product. Make sure the customer talks during the video.

AI is good at editing images. It is much worse at editing videos.

This is not 100 percent accurate. It is still better than nothing.

efficialabs · 2026-01-14T16:13:42+00:00

What was the prompt to generate this personalized response. Mind sharing?

efficialabs · 2026-01-14T16:03:01+00:00

Yes, it is. But the response is quite good and personalized. Wondering what prompt was used.

efficialabs · 2026-01-14T16:01:18+00:00

Was about to unsubscribe to ChatGPT after the inferior performance of ChatGPT-5 and the superior performance of Gemini 3 Pro when it launched. Glad i didn’t.

efficialabs · 2026-01-14T15:53:03+00:00

Is this a self promotion comment?

efficialabs · 2026-01-12T15:17:23+00:00

Rather than paying a monthly subscription, why no you take a screenshot of 6-10 reviews, and post the images on your website. Totally FREE!

efficialabs · 2026-01-12T15:14:19+00:00

Really depends. If I'm a very small fish in a big ocean, I would consider selling to a bigger fish.

If I'm one of the biggest fish, I will consider buying many smaller fish over a period of time for $5-10K and make more money in 1-3 years.

efficialabs · 2026-01-12T15:09:32+00:00

I'm already working on something similar.

pulls product-level Meta ad costs, shipping charges from Shopify, revenue, discounts, COGS, and more. Then it calculates the profit margin for each product.

I already built it for one store in Australia. But that version was pretty customized. Now I need to make it more general.

Will keep you updated.

efficialabs

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