Most creator brand email lists are not broken because the audience is bad. They are underperforming because the brand is sending broadcast emails to a segmented audience, treating every subscriber as an unfamiliar visitor, and writing copy that could equally apply to any of forty competitors. The list is doing exactly what its architecture allows it to do.
The published benchmarks tell a consistent story. Average click rates across ecommerce brands sit around half a per cent. Top-quartile brands operate around three times that figure. The gap is not closed by sending more emails. It is closed by changing what the emails are, who they go to, and how the flow architecture is structured.
What the Published Benchmarks Actually Show
Klaviyo publishes detailed benchmark data drawn from across its ecommerce customer base. The Klaviyo Email Marketing Benchmarks are the most widely cited reference for what an average ecommerce brand can expect from a campaign in terms of open rate, click rate, conversion rate, and revenue per recipient.
The headline picture is consistent across recent reports: average click rates for ecommerce campaigns sit at a low single-digit percentage of opens, and around half a per cent of total sends, with significant variation by category. Top-performing brands cluster well above the median across every measurable line: open rate, click rate, conversion rate, and revenue per send. The distribution is wide because the underlying architectural choices brands make produce hugely different commercial outcomes.
Litmus, the email infrastructure provider, publishes a complementary view in its State of Email reports, which look at how email is sent, designed, and rendered across senders. The same pattern emerges. Brands sending generic broadcast email to undifferentiated lists underperform. Brands that segment, personalise, and structure flows around behaviour rather than calendar dates outperform.
Reading the Benchmark Properly
The most common mistake is comparing your numbers to the average and feeling either reassured or alarmed without understanding the cause. The benchmark is descriptive, not prescriptive. Sitting at the average means your list is performing exactly as a default Klaviyo setup would predict. Beating the average means your architecture is doing real work. Falling below the average usually means your list has more disengaged subscribers than your engaged ones, dragging the aggregate down.
Why Most Creator Brand Lists Underperform
Creator brand lists have a specific underperformance pattern that is different from generic ecommerce lists. They tend to have grown quickly through founder content, which means a large proportion of subscribers signed up because they enjoyed the content, not because they were close to buying. The list looks healthy on a count basis and is structurally cold on an intent basis.
That is one cause. The second is that creator brand emails often replicate the founder's social voice without adapting it to the inbox context. Social posts compete for thumb-stop attention in a feed. Emails compete for a click in a context where the reader has already opened the message and is looking for a reason to act. The two contexts need different copy structures. Most creator brand emails read like longer Instagram captions, which is a structure that converts on social and underperforms in email.
The third cause is flow architecture. Most lists rely on broadcast campaigns and an unsophisticated welcome series, with little or no behaviour-triggered automation. Klaviyo's published benchmarks consistently show that flow emails (behaviour-triggered) outperform campaign emails (one-to-many broadcasts) by a wide margin on every metric. Brands that put 70 per cent of their email revenue through flows perform very differently from brands that put 70 per cent through campaigns.
The Four Structural Changes That Close the Gap
Closing the gap between an average list and a top-quartile one is not an editorial change. It is an architectural one. Four changes together produce most of the lift.
1. Behavioural Segmentation
Stop sending the same email to your entire list. The single biggest lever is segmenting by behaviour: who has bought in the last 60 days, who has clicked but not bought, who has opened but not clicked, who has not opened in 90 days. Each of these segments needs different copy, different offers, and different cadence. Sending the engaged 20 per cent more frequently and the cold 60 per cent less frequently usually lifts aggregate revenue and reduces unsubscribes simultaneously.
2. Flow Architecture Over Campaign Frequency
Build the flows before you obsess over the calendar. The core flow set for any DTC brand is: welcome series for new subscribers, abandoned browse, abandoned cart, post-purchase, win-back, and replenishment if your product is consumable. Each of these is triggered by behaviour, not date. Klaviyo's data shows flows producing significantly higher per-email revenue than campaigns. Brands that focus calendar campaigns and neglect flows are leaving the highest-margin revenue on the table.
3. Copy Specificity Over Copy Volume
The brand voice that works in email is sharper than the voice that works on social. Cut every line of email copy that could equally apply to any competitor. Use the customer's actual language, drawn from reviews and support tickets, not your brand's polished language. Subject lines that name a specific objection or context outperform subject lines that describe the offer. The principle is the same as positioning generally: specific beats clever.
For the foundational ICP work that feeds directly into copy specificity, see the ICP for Creator Brands piece on this blog.
4. Send Timing Based on Behaviour, Not Convention
The conventional wisdom on send timing (Tuesday morning, mid-week, avoid weekends) is descriptive of generic ecommerce behaviour, not your specific list. Most lists have a measurable behavioural pattern that diverges from the default. Use Klaviyo's smart send time feature to identify when each segment actually engages. For consumer brands with a younger audience, that is often evening and weekend, not the conventional Tuesday morning slot.
What the Top Quartile Actually Does
Top-quartile email programmes share a common architectural set. They run a clean list (active subscribers only, with disengaged subscribers sunset rather than emailed forever). They send fewer total emails but more relevant ones. They put a high proportion of revenue through flows. They write copy that is specific to a segment, an objection, and a context. They send at times calibrated to the list's behaviour.
None of those moves is exotic. All of them are deliberate. The reason most lists underperform is not that the operators do not know the moves. It is that the operators are running on a campaign-first mental model when the leverage is in flows, and a broadcast-first mental model when the leverage is in segmentation. The benchmark gap is structural, and so is the fix.
For a parallel analysis on why most DTC websites underperform their conversion benchmarks, see the DTC conversion rate benchmark piece on this blog. The same principle applies: most underperformance is architectural rather than creative.
Deliverability Is the Foundation Everyone Skips
Before the copy work, before the segmentation work, before the flow architecture, sits deliverability. If a meaningful percentage of your sends never reach the inbox, every metric downstream is corrupted. The brand sees low open rates and assumes the subject line is weak. The actual cause is often that the subject line is fine and the email went to spam. Until deliverability is healthy, optimising the rest of the programme produces misleading data.
The headline deliverability factors are well documented. Sender authentication (SPF, DKIM, DMARC) configured correctly on your sending domain. A subscriber-engagement-weighted send strategy that prioritises engaged contacts and gradually winds down disengaged ones. Content profiles that avoid the obvious spam triggers (excessive image-to-text ratio, suspicious link patterns, attachment use). Sending volume that ramps gradually rather than spiking. Each of these is operational hygiene, not creative work.
The single highest-leverage deliverability move for most underperforming brands is sunsetting cold subscribers. Subscribers who have not opened or clicked in 90 to 180 days drag down domain reputation and inbox placement for the engaged subscribers who are still active. The instinct to "keep them on the list just in case" is the most common reason a brand's list health collapses over time. Removing or suppressing them, with a final win-back attempt before sunset, improves inbox placement for everyone else and protects the long-term value of the engaged segment.
List Quality Over List Size
A list of 5,000 actively engaged subscribers generates more revenue than a list of 50,000 with most of them cold, and it does so with better deliverability, better engagement metrics, and lower platform costs. Brands fixated on list growth as the headline metric routinely operate larger, less commercial lists than brands focused on list quality. The right metric for list health is revenue per active subscriber, not total subscriber count. Brands that switch to this lens make different decisions: tighter opt-in incentives, faster sunset of cold subscribers, more aggressive re-engagement before sunset, and a list that gets stronger over time rather than gradually weaker.
What Segmentation Actually Looks Like in Practice
Segmentation in theory is straightforward. In practice, most brands implement it badly because the segments they build are too generic. A segment of "purchased in the last 90 days" is better than no segment but it is still too broad to be useful. Two customers who both purchased in the last 90 days can be entirely different commercial profiles: one is a first-time buyer who has not yet repurchased; the other is a loyal subscriber with five orders behind them. Treating them identically wastes the segmentation work.
The segments that produce real lift are intersected. First-time buyer who has not repurchased within 30 days. Repeat buyer who has not purchased in the last 60 days. Subscriber who has paused. Cart abandoner who has opened a campaign in the last 7 days. Each of these is a specific commercial state, and each requires a different message at a different cadence. The brands moving the email needle in 2026 are running a dozen behaviourally intersected segments rather than four broad ones.
The other dimension of useful segmentation is product or category preference. A buyer who has only ever purchased your hero product is a different commercial profile from a buyer who has purchased across three categories. The first is a candidate for category cross-sell. The second is a candidate for new product launch announcements. Sending both buyers the same product email loses revenue from both sides. Sending each the email built for their specific buying pattern lifts conversion on both.
A 90-Day Plan to Rebuild Your Email Engine
Rebuilding an underperforming email programme is a 90-day project. The first 30 days are about list hygiene: identifying engaged versus disengaged subscribers, sunsetting the long-cold portion, and segmenting the remainder into four or five behaviour-based groups. The next 30 days are about flow architecture: building or rebuilding welcome, abandoned cart, abandoned browse, post-purchase, and win-back flows with specific copy for each segment. The final 30 days are about campaign discipline: reducing campaign volume, sharpening copy, and using smart send time to deliver to each segment at its actual engagement window.
Brands that follow this 90-day rebuild typically move their list from below-average performance to top-quartile performance on most metrics, with no increase in list size and no additional channels.
For the full operator playbook including the email architecture, customer intelligence, commercial mechanics, and the rest of the brand operating system in one document, the £9 Growth Playbook contains the worked frameworks and templates.
Before you start the rebuild, run your brand through the free AI Brand Roast. It audits your current brand operating system including the commercial mechanics layer that email sits inside, and gives a clear starting point for the work ahead.