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šŸ› ļø Optimize Your Ad Strategy + Shopify ☠ Salesforce

Every Tuesday, 10am EST

Not on Shopify yet? Major big brands are leaving Salesforce Commerce Cloud to move to Shopify. If you’re on Shopify, expect new tools designed for scaling big time! šŸš€

Instagram Lowers Video Quality for Low Views 🚫 If your videos aren’t pulling in views, Instagram’s new policy could downgrade their quality, potentially impacting your brand’s presence.

Meta’s Auto-Adjusting Ads—Be Cautious! šŸ¤” Meta is now auto-adjusting ad budgets without notification. These changes could disrupt your campaign settings, so make sure to toggle off this setting if you need more control over ad spending. šŸ› ļø

Generative AI Tools for Amazon Sellers. Amazon’s latest AI tools can now create product listings. This sounds great but comes with a catch—custom images and copy are still key to cutting through the noise. Use AI as a tool, but stay hands-on to maintain quality. šŸ› ļø

Meanwhile… election day is here, how will this impact the Ecom landscape during the never mandate?

What to expect from this Newsletter? As always…
šŸ‘‰ The Top Relevant News of the Week in Ecom
šŸ”„ The Thought
🧨 The Success Story
😈 1 CRO Tactic to Advance to PRO
😁 1 Reason to Smile

THE THOUGHT - 10 Seconds to reflect…

Customer Feedback + AI: First Movers Advantage šŸ”„

Customer feedback is the lifeblood of eCommerce growth. But here’s the kicker—collecting insights is one thing; leveraging them with real-time AI support is another.

Imagine this: every day your support team talks to customers. Depending on your size, it can be tens, hundreds or even thousands of customers.

Do you have any idea of how many insights are hidden in this conversations? šŸ•µļøā€ā™‚ļø

We are talking about things like:

  • why your store UX sucks and exactly what to change

  • which products to add you should be looking at

  • marketing angles that could work like a charm

  • problems you didn’t know your customers have

  • and much, much more…

But, here’s the catch.

In the ā€œold worldā€ šŸ‘“, not only all these insights get lost, but you don’t even know they were there.

That’s why AI-driven customer service provides you with all you need to know.

Not only you provide amazing customer service, letting your customers solve their issues in a few seconds rather than tens of minutes, but also all the conversations are AI-analyzed providing you with actionable insights.

First mover like Jackery, Police and TropicFeel are already using Zipchat AI to do exactly this. They can see stats as impressive as 91% of customer inquiries resolved instantly, 24/7, without a single support ticket šŸ˜Ž.

The results? Faster resolutions, happier customers, and a mountain of actionable insights for refining your products and services.

And the impact is more than just operational—when customers feel heard and see their feedback in action, loyalty skyrockets. Instead of seeing customer feedback as a one-way street, imagine it as a full-circle conversation. AI bridges that gap by turning feedback into real-time improvements, so your customers are not only heard but served at the speed they expect today.

Are you listening passively, or actively building a feedback-powered, AI-driven experience? This is the future of retention, loyalty, and growth, and it’s just getting started. 🌟. šŸ’ø

THE SUCCESS STORY - What leaders do…

Stitch Fix DTC Success Story šŸ¤‘

Founded in 2011, Stitch Fix didn’t just launch a new way to shop for clothes—they transformed retail by bringing personalization to the forefront. Stitch Fix’s mission went beyond simply selling apparel; they set out to solve a common problem for consumers: how to find clothes that truly fit their unique style and needs without the hassle of traditional shopping.

Here’s how Stitch Fix used data, customer feedback, and a deep understanding of consumer psychology to redefine the fashion experience.

Make Shopping Personal šŸŽÆ

Stitch Fix recognized that most shoppers struggle with finding clothing that feels personal to them. Their solution? A unique blend of human expertise and data-driven insights.

  • Personal Stylists & Data Science: Each Stitch Fix client is paired with a stylist who uses advanced algorithms to curate clothing choices based on individual style, size, and budget preferences. It’s a human-meets-machine approach that feels both customized and trustworthy.

  • Detailed Style Quizzes: New customers complete an in-depth quiz about their style preferences, sizes, and lifestyle, helping Stitch Fix to build a detailed profile. This data is continuously refined with each shipment to improve future recommendations.

This focus on personalization struck a chord with customers tired of generic shopping experiences. For them, it’s not just a purchase—it’s a tailor-made experience that adapts over time.

Embrace Data as a Competitive Edge šŸ“Š

Stitch Fix made data their superpower, using advanced analytics and machine learning to stay ahead of trends and deliver better customer experiences.

  • Predictive Algorithms: From style recommendations to inventory management, Stitch Fix harnesses predictive algorithms to forecast demand, ensuring clients receive items that match current trends and preferences.

  • Real-Time Feedback Loops: Stitch Fix’s model invites clients to rate each item they receive, helping the company gather instant feedback and fine-tune its offerings. This feedback-driven approach keeps their data fresh and responsive, allowing Stitch Fix to evolve alongside its customers’ changing tastes.

By blending data with personal insights, Stitch Fix offers an intuitive experience that feels tailor-made—no showroom needed.

Build Trust with a Risk-Free Experience šŸ‘—

Shopping online for clothes has its barriers, but Stitch Fix turned potential hesitations into trust-building opportunities.

  • ā€œTry Before You Buyā€ Model: Customers can try on pieces in the comfort of their own home before deciding what to keep. This flexibility helps overcome the fear of online shopping, especially with fit-sensitive items like clothing.

  • Personalized Customer Service: Stitch Fix’s stylists are trained to respond to customer preferences and requests, making the process feel like a luxury experience.

This approach helped Stitch Fix build a community of loyal customers who appreciate the company’s commitment to getting each order just right.

Expand Thoughtfully šŸŒ

Stitch Fix knew that keeping customers engaged required more than just clothes. They expanded their offerings to serve a range of fashion needs and demographics.

  • Men’s, Kids’, and Plus-Size Options: By diversifying their product lines, Stitch Fix grew their client base and increased customer lifetime value.

  • Seasonal and Themed Collections: Curated seasonal and themed collections provide customers with new reasons to engage, keeping Stitch Fix top-of-mind year-round.

With thoughtful expansion, Stitch Fix became a go-to for personalized fashion across multiple markets.

šŸ‘‰ The takeaway for e-commerce entrepreneurs?

Personalization, data integration, and flexible customer experiences are key to building loyalty in today’s market. Stitch Fix proves that when you make the customer feel seen and valued, loyalty—and growth—will follow.

CRO TACTIC - Advance to PRO…

ā€œYou’ve been selected for this prizeā€ šŸ˜› 

When you run a contest, you should let everyone’s win. Not the first prize of course, but just offer a discount to participants who didn't win your contest not only serves as a gesture of appreciation but also motivates them to make a purchase despite not winning the grand prize. By providing a "consolation prize," you maintain participant interest and increase the likelihood of conversions. šŸ’ø

Step-by-Step Explanation:

  1. Host a Contest šŸŽÆ — Clearly communicate the prizes and rules to your audience.

  2. Select and Announce the Winners šŸ† — Once the winners are chosen, prepare a discount offer for all non-winning participants.

  3. Send Personalized Thank-You Emails āœ‰ļø — Express gratitude for each participant's involvement and include the discount code in the message.

  4. Create a Sense of Urgency ā³ — Ensure the discount is appealing and valid for a limited time to drive action.

  5. Track Redemption and Analyze Results šŸ“Š — Monitor discount code usage and assess the impact on sales and customer satisfaction.

Example: Let’s say you run an online fashion brand and organize a contest for a chance to win a new clothing collection. After announcing the winner, you send a personalized thank-you email to all other participants, expressing appreciation for their involvement and offering them a 20% discount on their next purchase as a consolation prize. This gesture encourages many participants to make a purchase, boosting sales and building positive relationships with customers. šŸ’„

Pro tip: you can leverage this AI Chatbot actionable insights from chats to know what to contest to launch. By analyzing the date of each chat, it will recommend what your customers could be interested in.

1 REASON TO SMILE

Have a great week,

Luca Borreani from Behind EcomAI