Inbox placement rates by industry: winners and losers

Two senders can publish identical SPF, DKIM and DMARC records, warm identical domains on identical IPs, and still end up with very different inbox placement numbers. One reason is industry. The signals a filter uses to score a message — language patterns, link destinations, historical complaint rate of similar senders — are not evenly distributed. A SaaS onboarding email has a different default baseline than a crypto airdrop announcement, even when the technical setup is identical.

This article pulls together the median inbox rates we see across five industries over roughly a year of placement tests, and walks through why the bottom two industries get filtered hardest.

Why industry matters at all

Filters don't care about the word "industry" — they care about patterns. But several signals correlate strongly with industry and end up baking industry into the score:

• URL patterns. Crypto domains skew towards new TLDs (.xyz, .io, .finance) and newly-registered domains. Filters weight both signals heavily.
• Historical complaint behaviour. Gmail's filter knows that recruiting emails get high "report spam" rates even when the sender did nothing wrong — candidates mark unwanted outreach aggressively.
• Template similarity. If your template matches the shape of a thousand known bad campaigns in the same vertical, similarity alone moves you towards Spam.
• ISP hand-tuning. Some ISPs publicly state they weight certain verticals more strictly. Microsoft's SmartScreen is documented as cautious on financial-promotion content, for example.

Methodology in one paragraph

We aggregated placement tests where the sender self-identified an industry, filtered out tests where the sending domain was under 30 days old (to avoid warm-up skew), and took the median inbox rate across the seed set per industry. Sample sizes are in the low thousands per industry, enough to be directionally correct, not enough to be a precise benchmark.

SaaS — median 74% inbox

SaaS is the cleanest category. Transactional mail (password reset, invoice, onboarding step) lands at 85%+ on average. Marketing newsletters from established product companies land at 70–75%. The reasons:

• Mature authentication: nearly every serious SaaS brand has SPF, DKIM and an enforced DMARC policy.
• Engaged recipients: people who signed up for your product tool open and click, and ISPs reward that.
• Stable sending patterns: SaaS newsletters go out on a predictable cadence, which ML filters treat as a trust signal.

The bottom of this range — SaaS marketing at 65–70% — is usually caused by oversized marketing pushes ("summer launch") on lists that weren't cleaned after a year of churn. A single list-hygiene pass routinely brings those senders back above 80%.

E-commerce — median 62% inbox

E-commerce sits below SaaS because of Gmail Promotions. A huge fraction of "not inbox" placements in e-commerce are not Spam — they are Promotions, which recipients largely ignore. Behaviours that drag e-commerce down:

• Heavy image-to-text ratio (hero images, product tiles).
• Promotional language patterns — percentage signs in subject lines, words like "SALE" and "free shipping".
• High send frequency — 3+ messages a week on retention flows.

Top performers in this category (85%+ inbox) run tightly segmented post-purchase and browse-abandon flows, keep image ratios under 60/40, and send promotions 1–2 times a week rather than daily.

Recruiting / staffing — median 54% inbox

Recruiting is where placement starts to hurt. The industry median drops sharply because:

• Candidates mark unsolicited outreach as spam far more aggressively than, say, e-commerce subscribers do.
• Outreach sequences often send from mailboxes with only weeks of history, not years.
• Templates are highly repetitive across the industry, so filters recognise them as bulk even when the underlying list is small.

The senders in recruiting that land at 75%+ are the ones who invested in warm-up, segmented by persona (VP of Eng does not get the same template as a junior engineer), and rotate copy every few weeks to stay out of template-match filters.

Financial services — median 48% inbox

Brokerages, investment platforms, insurance — all three subsegments live in Outlook-filter hell. Microsoft SmartScreen explicitly documents extra caution on financial-promotional content, and that single policy pulls the whole industry median down.

Inside the 48% median there is a wide spread: compliant banks with DMARC enforcement and long domain histories land near 75%, while newer fintech consumer apps land closer to 30%. Content matters enormously here — any hint of return-promise language ("earn up to 9%") drops inbox rate by double digits.

Crypto / web3 — median 34% inbox

Crypto is the bottom of the industry table by a wide margin. It is where ISPs invested the most in pattern-based filtering over 2022–2024, and the legacy of a huge amount of pure fraud in the category is still priced in.

• Nearly every crypto sending domain uses a new TLD. New TLD = lower base trust.
• Language patterns — "claim", "airdrop", "wallet", "whitelist" — overlap heavily with known-fraudulent campaigns.
• Recipient complaint rates in crypto are among the highest across all industries.

Legitimate crypto companies that break above 60% inbox are all doing the same few things: (1) they moved their marketing off newly-registered TLDs onto mature .com or .co domains, (2) they built engagement lists from actual product users rather than airdrop signup forms, and (3) they stripped every piece of crypto-vocabulary from marketing subject lines and body copy.

Why the bottom two get filtered harder

Financial services and crypto share three structural disadvantages:

1. Complaint volume at the category level. Gmail aggregates complaints across senders with similar content. Your clean crypto product is scored partly on other companies' fraud.
2. URL and domain reputation. New TLD plus crypto-keyword subdomains double up on negative signals. Filters already treat new TLDs with caution; when they also show crypto vocabulary, the score compounds.
3. Pattern-based hand-tuning. Both Microsoft and Google have documented public-policy decisions to filter financial-promotion content more strictly than neutral content.

What the top performers in each industry do

Across industries, the pattern of winners is remarkably similar, which suggests the industry median is less a ceiling and more a default. Top performers in every category:

• DMARC at p=quarantine or p=reject, not p=none.
• A custom tracking subdomain, not the ESP default.
• List validation every 30 days, with aggressive suppression of anyone who hasn't opened or clicked in 6 months.
• A pre-send placement test on any broadcast over 10,000 recipients.

Frequently asked questions