# Awais Nabi

Awais Nabi creates practical advice and AI tools for Shopify brands, focusing on email marketing, customer retention, and improving the customer experience.

- Profile: https://b2binfluencer.marketing/creators/awais-nabi/
- LinkedIn: https://www.linkedin.com/in/awais-nabi-945341260
- LinkedIn followers: 3,091
- Topics: artificial-intelligence, ecommerce, email-marketing, dtc-ecommerce, shopify
- Based on 16 dated posts, latest 2026-10-09

## Summary

Awais Nabi is most useful for practical Shopify email, retention, and customer experience fixes.

- Best for: Shopify DTC brands over $200K monthly needing retention, shipping, winback, and email flow help.
- Not for: Paid reach campaigns aimed at shoppers rather than store operators.
- Check first: Ask for engagement or reach figures on recent retention, flow, and deliverability posts.

### Takeaways

- Shipping confirmation is most-opened email, yet most brands never edit it.
- Late parcel email can explain melted capsules are safe to refreeze before refund request.
- Browse abandonment can split by whether someone viewed product three or more times.

## Main ideas

- **The emails brands never edit are the ones customers read most**: Brands spend their retention attention on new campaigns while their highest-open messages—shipping confirmations and delay notices—stay at whatever the store default was. They stay that way for boring reasons: transactional email sits in a different part of the platform, is usually configured by whoever built the store rather than whoever runs marketing, and never turns up in a revenue report. Nabi proposes adding three things to the shipping confirmation: the mistake first-time buyers make, which the support inbox already documents; what to expect and roughly when, in product terms such as how a supplement feels at week two or how apparel sits after a wash; and one line from a person with an actual name. None of it sells anything, which is why it gets through and survives internal review.
- **Deliverability is a list problem, not an inbox problem**: When a brand says its email is going to spam, Nabi says mailbox providers are punishing brands for sending to people who do not want the email, not for sending too much of it. The routine they describe: suppress anyone who has not engaged in 120 days, run a three-email sunset sequence first, return anyone who clicks to the active list, and let the rest go. Nabi states the consequences plainly: a list down 30 to 60 percent, open rates moving from 18 to 38 percent, and roughly double revenue per email. They compress the argument to this: unsubscribes are free list hygiene. Those figures come from their client work and are given without methodology, so ask for the underlying data before treating them as benchmarks. The post also names and answers the instinct the position runs against—that a smaller list is a loss—which is why Nabi writes it as a script for a conversation with a panicking CFO.
- **Split the message by how many times someone has looked**: Browse abandonment should not send the same offer to everyone, but most flows Nabi opens do, because the discount is what the template came with. They read two real emails side by side. Girlfriend Collective leads with the offer: “Take another look” plus 30% off. Charlotte Stone sends “We noticed you noticing us,” then the shoe, the price and a plain link, with no code anywhere. Neither is wrong, in Nabi's reading, because they answer two different people. A first-time browser was only looking around, so a discount pays someone who has not decided and teaches them that browsing is how you get one. A fifth visit means the person wants the product but is held up by price, sizing or whether it will arrive in time; that is where an offer or a straight answer earns its place. The fix is one conditional split: viewed the product three or more times in the last week, or not. Nabi says most flows lack it. The same behavioural idea sits behind the Audience Builder and Reorder Rescuer skills, which build segments from how customers actually behave rather than from tags.
- **A discount is worth less once the store has taught customers how to get it**: In two posts, Nabi makes one argument about discount value: the store, not the customer, sets what a discount costs to obtain. They signed up to three DTC brands with an email address only and met the same second screen: “finish signing up for texts to activate your discount,” with a phone field and only a small cross to escape. They closed it, and the 10% code arrived by email anyway, so the screen was imposing a condition the flow did not actually enforce. Nabi's reading is that nobody wrote it on purpose; it is the form builder's default second step. The people who type a number probably would have anyway, while everyone else assumes the deal is gone and leaves before the welcome email lands. The Black Friday post makes the same point over time rather than at one screen: a new visitor can collect 10% from the popup, 15% from the welcome email, 20% from cart abandonment and 25% from checkout abandonment. A 30% sale-day offer is only 5% more than what was already available, and the sequence has taught customers that abandoning a cart pays better than buying. Nabi's fixes: an honest second screen with a skip button that does not read as a penalty, which means slower SMS growth, and an audit of every discount reachable before a sale.
- **Report net email revenue, not the number the dashboard shows**: Klaviyo attributes an order when it is placed, and a refund ten days later does not remove it from the board. So a slide saying email drove 30% of revenue includes money the brand has given back. Across the accounts Nabi audits, refunds and cancellations typically shave 3 to 6 percent off attributed email revenue, with supplements and apparel at the high end. Their fix is a reconciliation, not a new dashboard: export refunds from Shopify, export attributed orders from Klaviyo, and produce net email revenue by flow. It takes about 15 minutes for the first run and five for later ones. Nabi also prefers clicks over opens when judging a list, because opens are unreliable. Run the reconciliation on the last 90 days before a reporting call and bring the net number before anyone asks for it.
- **Small, read-only Claude skills wired into live store data**: Nabi's tooling is a set of Claude skills, each framed as a job a brand would otherwise hire for and connected to live Shopify or Klaviyo account data. One post lays out twelve: a Funnel Inspector that reviews the path from product page to checkout and returns a ranked fix list, a Catalog Copy Engine, a Storefront Fixer, a Returns Decoder that reads 90 days of refunds to find which products lose margin, a Stockout Sentinel that cross-checks stock against ad spend, an Audience Builder, a Channel Scorecard that ranks acquisition by retention and margin, a Basket Builder, a Discount Auditor, a Search Capturer, a Feedback Decoder and a Reorder Rescuer. Setup is described as a single connection through Shopify's AI Toolkit. The skills return a ranked list, a score out of 100, or a net number; the Black Friday check and refund reconciliation are both read-only. The roster post describes intended jobs and a one-line setup, not a finished skill running on a live store. Ask for a live-store demonstration before relying on the capabilities. Distribution is part of the pattern too: several posts end by asking readers to comment a keyword—PLAYBOOK, BFCM or NET—to receive the setup guide or prompt.

## Work to read

- [The shipping confirmation is a brand’s most-opened email, yet most brands never edit it](https://www.linkedin.com/posts/awais-nabi-945341260_your-shipping-confirmation-gets-opened-more-activity-7503542695718703104-wBD8)
- [The late-parcel email almost nobody has set up](https://www.linkedin.com/posts/awais-nabi-945341260_cometeer-sells-coffee-frozen-if-the-box-activity-7510323378231218176-2Bpw)
- [Two browse-abandonment emails, split by how often someone looked](https://www.linkedin.com/posts/awais-nabi-945341260_someone-who-looks-once-and-someone-who-looks-activity-7507785878946164737-xRsE)
- [Klaviyo counts refunded orders as revenue, and the gap runs 3 to 6%](https://www.linkedin.com/posts/awais-nabi-945341260_your-klaviyo-dashboard-counts-refunded-orders-activity-7490753561107001344-Oc3-)
- [Deliverability is treated as a list problem, not an inbox problem](https://www.linkedin.com/posts/awais-nabi-945341260_imagine-paying-klaviyo-to-email-60000-people-activity-7464397712885678080-T9xN)
- [The popup’s second screen tells people they’ve already lost the discount](https://www.linkedin.com/posts/awais-nabi-945341260_signed-up-to-three-dtc-brands-this-week-and-activity-7508873642630430720-ZKko)
- [A Black Friday readiness score built around discounts a store gives away before the sale](https://www.linkedin.com/posts/awais-nabi-945341260_i-built-a-claude-skill-that-tells-you-if-activity-7495826952986107905-jEjA)
- [Twelve Claude skills framed as a free growth team for a Shopify store](https://www.linkedin.com/posts/awais-nabi-945341260_want-a-free-12-person-growth-team-for-your-activity-7471865475707219968-bkoi)

## Brand relationships

- **Klaviyo** (mention)
- **Shopify** (mention)
- **Claude** (mention)
- **Cometeer** (mention)
- **Girlfriend Collective** (mention)
- **Charlotte Stone** (mention)

## Partnerships

Awais Nabi builds AI-assisted tools and audits for Shopify and DTC brands: a Black Friday readiness check that reads Shopify and Klaviyo data, a refund-reconciliation tool aimed at stores doing over $200K a month, and twelve Claude skills for funnel, catalog, retention, and inventory jobs. They share these with readers who comment on a post. Nabi says they sign DTC brands as direct clients rather than taking paid placements, with hands-on work in email, lifecycle, and parcel communication. For brands, that points to a project or consulting engagement arranged in conversation, not a packaged sponsorship slot. The tools are read-only and require access to a brand’s Shopify and Klaviyo accounts, so data access is part of scoping. Ask Nabi directly about format, deliverables, pricing, and usage rights; no terms are published in these posts.

## Alternatives

- Meilech Biller: A better fit when the brand wants the whole lifecycle built and maintained as an ongoing engagement, rather than one or two flows diagnosed and repaired. In the posts, Biller describes a new client whose onboarding is complete: email capture forms, welcome flow, browse abandonment, cart abandonment and campaigns are all built and waiting on seasonal stock before the first send (August 2026). The posts also show Claude building client-facing forms, documents and emails; generating a daily task list from CRM, projects, messaging and email; and creating a deliverability dashboard for Klaviyo users. For a brand looking to install the lifecycle and keep it moving, this is closer to the described approach than a diagnose-one-thing-and-retest engagement.
- Corto S.: A better fit when the need is Klaviyo production throughput—a month of campaigns, lifecycle flow concepts, creative directions and copy from one pipeline—rather than repairs to a handful of flows. The October 2026 post documents a Claude Code setup running separate workflows for flows, campaigns, segmentation, deliverability and analytics in parallel, turning Klaviyo data into actions the marketer reviews and approves. The September 2026 post shows a monthly pipeline from campaign calendar to finished concepts and copy, with speed identified as the main gain. For a brand that needs volume and consistency across a heavy sending calendar, this is a closer match.
- Maqsood Hussain: A better fit when the problem is disputes or chargebacks and the fix involves the storefront as well as email. The March 2025 post links PayPal and bank disputes to customers not knowing whether or when a product will arrive, and to fears of fraud caused by late delivery. It recommends stating delivery times on the product page before checkout and sending a sequence of emails: order confirmation, dispatch from the warehouse, the parcel’s location, its arrival in the customer’s city and delivery day. The March 2026 post identifies a slow homepage hero video that didn’t match fast-scrolling ad traffic, and replaces it with a static image and clear call to action. For a brand whose first screen and product-page delivery expectations are part of the problem, this covers the page-level work a flow-only brief would miss.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/