⏩ Forwarded this email? Subscribe to get your own copy here

By Lisa Wendland, MBA

In 2026, many eCommerce teams are still running creator partnerships, earned media, owned channels, and AI initiatives as separate workstreams. Each team optimizes its own metrics, uses its own tools, and reports its own wins. On the surface, this looks efficient. In practice, it is becoming a structural disadvantage.

The brands posting the strongest results are shifting to connected growth systems. They treat creator and earned media as the primary discovery engine, use AI as the intelligent layer that connects signals across the customer journey, and position owned channels (email, SMS, onsite, loyalty) as the core revenue and retention engine. The difference shows up clearly in retention rates, contribution margin, and the ability to scale without proportional increases in paid acquisition costs.

Siloed marketing creates three compounding problems.

First, signal loss. When a creator video drives high engagement or an earned media piece generates strong referral traffic, that insight often stays trapped in the social or PR team. The lifecycle team continues sending the same generic flows. The site experience remains static. Valuable behavioral data never influences the channels that actually drive repeat purchases.

Second, attribution blindness. Full-funnel performance becomes nearly impossible to measure accurately when each channel owns its own reporting. Teams over-invest in the channels they can see and under-invest in the ones that feed them. This is especially costly as paid media efficiency continues to tighten.

Third, customer experience friction. Customers do not experience brands in silos. They discover a product through a creator, research it via AI search or reviews, receive an email, and later engage with SMS or the loyalty program. When these touchpoints feel disconnected, conversion and lifetime value suffer.

In short, the old model of optimizing channels in isolation is increasingly mismatched to how customers actually move and how AI systems evaluate brand authority and relevance.

The highest-performing DTC and retail brands are redesigning their approach around three interconnected layers.

Creator and Earned Media as Discovery

These channels surface new audiences and generate authentic social proof at scale. The shift is from one-off influencer campaigns to always-on creator ecosystems and earned media programs that produce continuous signal.

AI as the Intelligent Layer

AI is no longer used primarily for content generation or isolated personalization. Leading teams use it to ingest signals from creator performance, social listening, onsite behavior, and purchase data, then translate those signals into smarter decisions across owned channels. Examples include dynamic flow prioritization, creative selection for email and SMS based on what is resonating in creator content, and real-time audience segmentation that reflects current cultural or product interest.

Owned Channels as the Revenue and Retention Engine

Email, SMS, onsite experiences, and loyalty programs remain the highest-margin channels. When they are fed high-quality signals from the discovery layer and orchestrated by AI, they become significantly more effective at converting, retaining, and expanding customer relationships.

A practical illustration: a beauty brand notices through creator content that a specific hair-type concern is driving strong engagement. That insight is rapidly reflected in email subject lines, SMS offers, onsite merchandising, and even product recommendations. The result is higher relevance, better conversion, and stronger retention without requiring a proportional increase in paid media.

Read the full blog here

Explore the whole blog here

How ready are you for peak?

That's what we'll be exploring in this discussion, what are the best retailers and brands doing to make sure their systems are ready for a brilliant peak season.

Join us live to get your questions answered too... or catch up with the replay that is available to all those who sign up.

Looking for new solutions to your growth problems?

We're busy getting our event directory fully up to date for 2026... if you have an event we should be promoting, submit it here

Explore our event directory

Meet this week’s newsletter sponsor:

AI made PMs faster. Multiplayer mode is still broken.

A PM can summarize research, draft a PRD, and mock up a prototype before lunch. The hard part starts when the team has to decide what actually gets built.

Jira Product Discovery gives product teams one place to capture insights, prioritize ideas with consistent frameworks, and build living roadmaps stakeholders can rally around.

And because it’s connected to Jira, the context behind every decision stays with the work—so developers and their agents know not just what to build, but why.

AI helps PMs move faster. Jira Product Discovery helps the whole team build with confidence.

Get Started for Free.