Category: Sending Strategy

  • How to use Amazon SES to send newsletters at scale

    How to use Amazon SES to send newsletters at scale

    If you’re running more than one newsletter and you’ve started doing the math on Resend, Postmark, or Mailchimp at 100,000 emails a month, you’ve probably already arrived at the same conclusion most operators do eventually: Amazon SES is roughly 10x cheaper than the alternatives, and you stop being able to ignore it once your monthly send count crosses about 50,000.

    This post is the playbook we wished we’d had when we moved to SES. Implementation, the parts vendors don’t tell you, and what to do six months later when reputation problems show up.

    The case for SES, in one paragraph

    SES costs $0.10 per 1,000 emails sent. There is no subscription tier, no retainer, no “premium” version. You verify a domain, you send mail, you pay for what you use. For a single newsletter sending to 1,000 subscribers daily, that’s $3 a month. For 100 newsletters at the same volume, $300. The closest equivalent at retail Resend pricing is roughly $2,400. That gap is the entire reason this post exists.

    The tradeoff: SES gives you a sending engine, not a mailing platform. You bring everything else — list management, unsubscribe links, bounce handling, analytics. If your stack already provides those (or if you’re running One Two Three Send and they’re built-in), this is the right tradeoff. If you want a dashboard that shows you a graph of opens, SES is the wrong product.

    Cost math, with real numbers

    Assume a brand averaging 1,000 active subscribers, sending five newsletters a week. That’s about 22,000 emails a month per brand.

    Brands Emails/month SES cost Resend retail Postmark Mailgun Foundation
    1 22,000 $2.20 $20 $25 $35
    10 220,000 $22 $90 $200 $80
    100 2,200,000 $220 $1,000+ $1,500+ $400+

    The numbers aren’t perfectly comparable — Postmark‘s bounce dashboard alone is worth something — but the order of magnitude is real. Below ~50,000 emails a month, SES isn’t worth the implementation work. Above that, every other provider starts looking like a luxury tax.

    A row of metal mailboxes at dusk
    Photo: Mike Mozart, CC BY 2.0

    Setup, in the order you should actually do it

    Step 1: Request production access. Today. Before anything else.

    SES starts every account in sandbox mode: 200 emails a day, and you can only send to addresses you’ve verified. Nobody mentions this until you’re trying to debug why your test send works to your own inbox but fails to your subscribers’.

    Production access is a one-paragraph form in the SES console. Approval usually takes 24 hours, sometimes faster. Submit it on day one of your migration project so the clock is running while you do everything else. The form asks how you handle bounces and complaints, what your typical send volume is, and whether subscribers explicitly opted in. Be specific. Generic “we’ll handle it” answers get rejected.

    Step 2: Verify your sending domain (not your email address)

    You can verify a single email address (hello@yourbrand.com) but don’t. Verify the domain (yourbrand.com). Domain verification gives you DKIM signing for everything sent from any address at that domain, which is the deliverability win.

    In the SES console, “Verified identities” → “Create identity” → “Domain” → enter the domain → enable DKIM. SES gives you three CNAME records to add to your DNS. They look like random123._domainkey.yourbrand.com pointing at random123.dkim.amazonses.com.

    Add them to your DNS. Wait 10 minutes. Refresh the SES console. Three green checkmarks.

    The pitfall here: many DNS managers strip the trailing period on CNAME values, or auto-append the parent domain. If your DKIM checkmarks stay yellow after an hour, the cause is almost always that your CNAME target now reads random123.dkim.amazonses.com.yourbrand.com instead of just random123.dkim.amazonses.com. Edit the record, remove the appended bit.

    Step 3: Create the credentials

    You have two paths here, and which one you pick determines how much code you’ll write.

    Path A — SMTP credentials. SES SMTP settings → “Create SMTP credentials”. AWS generates an IAM user behind the scenes and gives you an SMTP username and password. Plug those into any SMTP-capable mail tool (including the SMTP option in One Two Three Send). Zero new code. Endpoint is email-smtp.us-east-1.amazonaws.com:587.

    Path B — IAM access keys for the SES API. Create an IAM user with the AmazonSESFullAccess policy (or scoped down to ses:SendEmail on your verified domain ARN, which you should do for production). Grab its access key ID and secret access key. Use these to sign SES API v2 requests directly with AWS Signature v4.

    For under 100,000 emails a month, use Path A. SMTP is fast enough and saves you the SigV4 signing implementation. Above that, Path B becomes worth it because you can attach configuration sets, message tags, and skip the STARTTLS roundtrip.

    Step 4: Set up the From address and reply-to

    Your From: address must be at the verified domain. hello@yourbrand.com works. hello@yourbrand.zendesk.com does not, even if yourbrand.zendesk.com resolves — Zendesk’s domain isn’t verified in your SES account.

    Set a real reply-to. Subscribers reply. If your reply-to is noreply@, you’re throwing away the most valuable feedback signal a newsletter has.

    Step 5: Send your first email

    The acid test: send to a Gmail address, an Outlook address, and a Yahoo address you control. Open Gmail’s “Show original” view on the received message. You should see:

    • SPF: PASS (with amazonses.com)
    • DKIM: PASS (signed by yourbrand.com)
    • DMARC: PASS (only if you have a DMARC record — see pitfalls)

    If any of those say NEUTRAL or FAIL, fix that before sending to a single real subscriber. Inbox providers are unforgiving with new senders, and your first 30 days set the reputation that follows you for months.

    Step 6: Set up bounce and complaint handling

    Skip this step and SES will suspend your account, eventually, with no warning except an email a week before it happens that you’ll miss in a busy inbox.

    Create an SNS topic (ses-feedback). In the SES configuration set, attach event publishing for Bounce and Complaint events to this topic. Wire the topic to an HTTP endpoint on your site that flips the matching subscriber’s status to bounced or complained and stops sending to them.

    This is the difference between “I send mail with SES” and “I run a newsletter on SES that won’t get suspended in month four.”

    SES vs the rest, honestly

    vs Resend — Resend has a beautiful API and a dashboard that’s a joy to use. You pay for that. They’re a great choice while you’re under 50k/month. Above that, the price gap becomes the only thing that matters.

    vs Postmark — Postmark has the best deliverability reputation in the industry and the best bounce dashboard. They specialize in transactional, not marketing/broadcast — their pricing model penalizes high-volume sends. Worth using for transactional emails (welcome flows, password resets) even if you use SES for newsletters.

    vs Mailgun — Roughly comparable to SES on price at scale, easier to set up, slightly worse deliverability in our testing. If you actively dislike AWS, Mailgun is the closest cost equivalent.

    vs Mailchimp / ConvertKit / Beehiiv — Different category. Those are mailing platforms (list, editor, analytics, automation). SES is a sending engine. You wouldn’t compare a hosting provider to Squarespace; same logic applies.

    vs SendGrid — SendGrid is what you use when your dev team wants to use SendGrid. It’s fine. Pricing tiers are odd above 100k.

    Pitfalls, in the order operators usually hit them

    1. The sandbox catches everyone. First send to a real subscriber bounces with “Email address is not verified” and you spend two hours debugging your code. The error message means SES, not your subscriber’s address. Submit the production access request before you do anything else.

    2. DMARC alignment. If you have a _dmarc TXT record set to p=reject, your SES emails will fail DMARC unless your From: domain matches the DKIM signing domain. SES handles this automatically when you verify the full domain (Step 2 above), but if you verified only an email address, you’ll fail DMARC alignment and your mail goes to spam at every major provider. Verify domains, not addresses.

    3. The 5% bounce / 0.1% complaint thresholds. SES tracks these silently. Hit 10% bounces and you get a warning email. Hit 5% sustained, or 0.1% complaints, and you get suspended. The math: in a list of 1,000, fewer than 50 hard bounces is fine; more than that and you’re already in trouble. Clean lists before you migrate to SES. Run a list-validation pass through a service like NeverBounce or Kickbox first; the $30 cost pays for itself a thousand times over.

    4. The shared IP problem (and the dedicated IP solution). SES sends from shared IP pools by default. If another SES customer on your IP range sends spam, your reputation gets dinged through no fault of your own. For most sub-1M/month senders this is fine — Amazon’s pools are well-policed. Above 1M/month, request a dedicated IP ($24.95/month). For 100 brands, give each of the highest-volume few their own IP and pool the long tail.

    5. IP warming. New dedicated IPs need a 30-day ramp where you slowly increase volume. If you spike from 0 to 100k on day one, every email goes to spam. SES’s “Easy DKIM with managed warm-up” handles this if you let it. Don’t override the schedule because you’re impatient.

    6. The implicit unsubscribe link requirement. Gmail and Yahoo’s 2024 sender requirements mandate one-click unsubscribe headers (List-Unsubscribe-Post: List-Unsubscribe=One-Click) for any sender doing more than 5,000 emails a day to their domains. SES doesn’t add these automatically — your sending code must. If your platform doesn’t add this header, your delivery rate to Gmail will collapse without warning.

    7. Sending across regions. SES sending quotas are per-region. If you start in us-east-1 and migrate to eu-west-1 later, your reputation doesn’t follow. Pick a region on day one and stay there.

    Long-term maintenance

    The first two months of SES are setup theater. The rest is reputation management.

    Daily: keep an eye on the SES “Reputation dashboard.” Bounce rate trending up means a list-quality problem; complaint rate trending up means you’re sending content people don’t want. Both are fixable, but only if you notice. Most operators set up a CloudWatch alarm at 3% bounces and 0.05% complaints — half the threshold AWS uses to suspend you.

    Weekly: review the bounce/complaint webhooks for patterns. A spike in bounces after a specific newsletter usually means a corporate domain blocked you. A spike in complaints usually means a specific email’s subject line came across as spammy or you imported a list segment that didn’t actually opt in.

    Monthly: prune subscribers who haven’t opened in 90 days. Inbox providers downgrade your reputation when you keep sending to inactive addresses, even if those addresses don’t bounce. This is counterintuitive — you’re paying for the email, why would sending to a quiet address hurt? — but it’s how Gmail’s reputation algorithm works in 2025.

    Quarterly: rotate your IAM credentials. Even if nothing has gone wrong, do this anyway. AWS makes it easy (create new credentials, deploy, deactivate the old set, delete after 30 days), and it gets you in the habit of treating sending credentials with the same care as customer data.

    Annually: review your SES sending quota against actual volume. If you’ve grown 10x and you’re still on the original 50,000/day limit, you may be silently losing mail at peak send times. Quota increases are a console click and usually approved automatically based on your sending history.

    When SES is the wrong choice

    If you’re sending fewer than 50,000 emails a month, the time you’ll spend on setup, monitoring, and bounce handling is worth more than the cost difference. Use Resend or Postmark. Come back when you scale.

    If your team has zero AWS experience and zero appetite to gain it, the implementation is the iceberg’s tip. Setting up SES correctly takes a day. Operating it correctly takes ongoing attention. If nobody on the team finds CloudWatch dashboards reasonable, pick a vendor whose abstraction matches your team’s skills.

    If you need a polished UI for non-technical staff to manage lists, write campaigns, and view stats, SES will frustrate everyone involved. It’s a sending engine, not a product.

    For everyone else: SES is the most boring infrastructure decision you can make for a newsletter business, and that’s the highest compliment infrastructure can earn.

  • Why your send time optimisation is probably making things worse

    Why your send time optimisation is probably making things worse

    You’ve probably seen the feature in your email platform: “Send Time Optimisation” or “Predictive Sending” or some variation that promises to deliver your newsletter at the exact moment each subscriber is most likely to engage.

    Sounds brilliant, doesn’t it? Machine learning analysing individual subscriber behaviour, sending at their personal peak engagement window. Set it and forget it.

    Except for most newsletters, it’s actively hurting performance.

    The problem with optimising for individuals

    Send time optimisation works by fragmenting your send over hours—sometimes over an entire day. Your newsletter trickles out subscriber by subscriber, based on when each person historically opened emails.

    This creates three immediate problems. First, your content ages differently for different segments of your list. Someone receiving your newsletter at 6am gets fresh links and timely commentary. Someone getting it at 9pm sees content that’s potentially stale, with conversations already underway in replies and social channels they can’t join.

    Second, you lose the momentum of a coordinated launch. When everyone receives your newsletter within the same hour, you get concentrated traffic, clustered replies, and genuine conversation. Spread that same audience across twelve hours and everything diffuses into silence.

    Third—and this one’s subtle—you’re optimising for yesterday’s behaviour, not tomorrow’s. The algorithm looks at historical opens to predict future engagement. But subscriber habits change. The person who used to check email at 7am might have switched jobs, moved time zones, or simply changed their routine.

    What the data actually shows

    Multiple studies of email performance data reveal something most operators miss: the difference in open rates between “optimal” and “suboptimal” send times is typically 2–5%. That’s real, but it’s small.

    What matters far more? Day of week consistency. Subscribers who know your newsletter arrives every Tuesday at 10am develop a habit. They anticipate it. Some even structure their morning around it.

    When you optimise send times individually, you sacrifice this habitual behaviour for a marginal improvement in immediate opens. You’re trading long-term retention for short-term metrics.

    The subscribers who genuinely want your newsletter will open it whether it arrives at their “predicted optimal time” or not. The subscribers who are marginal—the ones send time optimisation is designed to capture—probably weren’t going to engage meaningfully anyway.

    When optimisation actually works

    There are scenarios where send time optimisation makes sense. If you’re running a large promotional programme with multiple sends per week and your primary goal is transaction completion, the individual-level precision can move the needle.

    If you have a genuinely global audience spread across eight or more time zones, some degree of send time variation is necessary. But even then, consider batching sends into two or three deliberate time windows rather than continuous optimisation.

    For most operator-to-reader newsletters, though—the kind where you’re building a relationship, establishing a voice, creating a space for your subscribers—consistency beats optimisation every time.

    What to do instead

    Pick a specific day and time. Send every edition at that exact moment. Make it part of your brand: “In your inbox every Thursday at 9am GMT.”

    Test different times if you want, but test them properly. Send at 9am for a month, then 2pm for a month. Look at opens, yes, but also look at replies, forwards, and unsubscribe rates. Look at the quality of conversation your newsletter generates.

    You’ll probably find that consistency matters more than perfect timing. Your most engaged subscribers will adjust to your schedule. Your least engaged subscribers won’t be saved by an algorithm.

    If you found this useful, reply and tell me what you’re currently optimising for—or what you’ve stopped optimising entirely. I read every response, and the best insights often come from what we’ve deliberately chosen not to do.