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There is no single send schedule that works for every ecommerce store. Set a predictable promotional baseline, let subscribers choose less email, and adjust cadence by audience segment using clicks, conversions, unsubscribes, and complaints—not open rates alone. Keep transactional and behavior-triggered messages on their own schedules.
What email frequency should an ecommerce store use?
Choose a cadence that fits your audience, products, subscriber engagement, and season—not a universal number of emails per week. Email cadence means both how often messages arrive and how they are sequenced. A consistent, relevant schedule is a better starting point than sending in bursts and going quiet.
Consumer preference surveys offer context, not a prescription for your store. In an April 2025 Dynata survey of 1,000 US adults on behalf of Litmus from Validity, 32% preferred weekly emails and 20% preferred two to three emails per week; those results were not specific to ecommerce. Litmus summarizes the survey.
Let subscribers choose less email
Give people a way to reduce promotional mail before their only option is unsubscribing. Baymard Institute reported in 2022 that 80% of benchmarked ecommerce sites did not let users adjust newsletter frequency. In the same report, 59% of 2,473 US adult internet shoppers said they unsubscribe or avoid signing up because they receive too many newsletter emails generally, while 51% cited emails arriving too often from a specific retailer. These findings describe the benchmark and survey, not all shoppers or markets. Read Baymard’s newsletter-frequency findings.
#1 Best Overall
- At signup, explain what kinds of messages subscribers can expect and roughly how often.
- Offer a weekly digest, reduced-frequency option, or temporary pause if your email system supports it.
- Make preference controls easy to find, including from the unsubscribe or preference link in your emails.
Separate promotional campaigns from other messages
Transactional messages
Order confirmations and shipping updates serve the purchase, not a promotional calendar. Shopify says these should be sent immediately. Do not treat them as ordinary campaign slots when planning marketing frequency.
Welcome and behavior-triggered messages
Plan welcome sequences and behavior-triggered messages—such as those based on a shopper’s activity—separately from broadcast campaigns. Their timing depends on the event and sequence. Monitor the total experience so a subscriber does not receive several messages close together simply because different automations are running.
Rank #2
Promotional campaigns
For newsletters and offers, keep a predictable baseline and avoid sudden, unexplained volume increases. A campaign calendar helps reveal when promotions, automated messages, and seasonal activity overlap.
Use segments before increasing total volume
Do not raise frequency for the entire list just because some customers respond well to more email. Segment by engagement, customer status, past purchases, and stated preferences, then send more often only where behavior and expectations support it. Reduce frequency for less-engaged groups rather than repeatedly sending them the same promotions.
Compare cadence within a segment and message type. A frequent product update for interested subscribers is not equivalent to sending the same extra promotion to every address on the list.
Test cadence with outcomes beyond opens
Change one meaningful cadence variable at a time—for example, the number of weekly promotional campaigns for one segment. Compare similar groups or periods, and account for differences such as seasonality or campaign content. Track:
Rank #4
- Clicks and conversions: whether messages lead to useful engagement and purchases, where conversion tracking is available.
- Unsubscribes and complaints: whether the schedule is prompting people to leave or report unwanted mail.
- Consistency: whether results hold across a stable schedule rather than a single unusual campaign.
- Opens: a supporting signal, not the sole success measure. Privacy features can inflate open rates.
MailerLite’s analysis of more than one million 2024 campaigns, as reported by Shopify in 2025, found average click-through rates of 5.8% for twice-weekly campaigns, 5% for weekly, 4.6% for monthly, and 5.3% for daily campaigns. The same secondary reporting put open rates around 34% for monthly or twice-weekly campaigns and around 31% for daily campaigns. These are averages in that analysis, not forecasts for an individual store or evidence that a particular frequency caused the result. Shopify’s account of email marketing frequency describes the analysis and measurement considerations.
Plan seasonal increases deliberately
Major events such as Black Friday and Cyber Monday can justify a temporary increase if subscribers expect concentrated offers. Shopify quotes Jacob Sappington, director of email strategy at Homestead Studio, recommending multiple emails on those days while advising against doubling up to the same people on ordinary days. Treat this as a seasonal strategy example, not a general rule: segment the audience, make the schedule clear, and return to the usual cadence after the event.
Keep deliverability requirements separate from marketing cadence
Sender-compliance rules do not tell a store how often to market. Google’s guidance says senders delivering 5,000 or more messages a day to Gmail accounts must authenticate, avoid unwanted or unsolicited email, and make unsubscribing easy. For marketing and promotional messages, Google calls for List-Unsubscribe headers under RFC 8058. These requirements apply to the specified bulk-sender conditions and can change; check Google’s email sender guidelines for current details.
A practical cadence decision
- Set an expected baseline: tell subscribers what types of promotional email they will receive and roughly how often.
- Provide an opt-down: offer a digest, lower frequency, or pause where supported.
- Map message types: keep transactional, welcome, behavior-triggered, and promotional messages distinct, while checking for overlap.
- Segment the audience: use engagement, customer status, purchase history, and preferences to determine who is eligible for more frequent campaigns.
- Run a controlled test: change one cadence variable for a comparable group and review clicks, conversions, unsubscribes, complaints, and opens.
- Review seasonality: allow a temporary increase for events only when it fits audience expectations, then return to the baseline.
Email platforms can assist with list management, personalization, scheduling, and campaign analysis, but the tool does not decide the right cadence for your customers. Shopify describes these as common capabilities and discusses suggested send times in Shopify Messaging. See Shopify’s overview of email marketing.
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