How to Research a Brand's Email Program — the full methodology
Pick a brand, surface every pattern: cadence, hooks, frameworks, funnel structure, offer mechanics.
When you need to deeply understand how a brand writes to its list — for a competitive teardown, a positioning study, or learning from a peer — you need a systematic methodology. Subscribing to their list and reading what arrives isn't enough. This guide walks through a six-step research process and uses a real brand from the BadRep catalog as a worked example.
The six-step methodology
What to do, in order, when you're researching a brand's email program.
Step one: define the question you're trying to answer. 'How does Brand X write email' is too broad. 'How does Brand X structure their welcome sequence' or 'How often does Brand X discount, and at what depth' are real research questions.
Step two: collect the sends. If you have access to a tool like BadRep, this is one click. If not, you need to either subscribe with a burner email and wait for a representative sample (4–8 weeks minimum) or scrape an archive.
Step three: classify. Tag every send by email type (welcome, win-back, promotional, etc.), hook type (bold claim, question, stat, story), copy framework (PAS, AIDA, Story, Direct), ESP (visible from infrastructure signals), and any offer mechanic. Without classification, you can't see patterns.
Step four: aggregate. Now that everything's tagged, run aggregations. What's the dominant email type? The dominant hook? The frequency of promotional sends vs lifecycle sends? The average subject line length?
Step five: synthesize. From the aggregations, write 5–10 sentences that summarize the brand's email program. 'They send 11.9 emails per month, mostly Win-back and Promotional, leaning on Bold Claim hooks at 35% of sends, with subject lines averaging 38 characters.' This is the deliverable.
Step six: convert findings into your own program. The point of competitive research is to inform your own choices, not to imitate. Take three to five specific observations and ask: what would happen if we tested this?
Worked example — researching Noom
What the six-step methodology looks like in practice.
Question: how does Noom structure their lifecycle email program?
Collection: 203 sends from January 2025 to May 2026, pulled from the BadRep vault.
Classification: every send tagged across 20+ dimensions during ingest. Top email types: Win-back (35%), Promotional (28%), Free Trial (14%), Educational (12%), Abandoned Cart (8%). Top hook types: Bold Claim (29%), Direct Offer (22%), Question (17%), Stat (14%), Problem (11%). ESP: Iterable (single ESP — they don't mix). Subject line average: 38 characters. Emoji rate: 24%. Personalization rate: 42%. GIFs: 10%.
Aggregation: Noom sends 11.9 emails per month, more than 2x the catalog median of 5/month. Their program is heavily weighted toward Win-back at 35% — far above the wellness category norm. Bold Claim hooks dominate at 29%. Personalization rate of 42% is 4x the catalog median of 10%. They use Iterable exclusively (most multi-vendor brands run two or three ESPs).
Synthesis: Noom is a high-cadence, heavily-personalized program that leans on Win-back and Promotional sends — they're not running a content/newsletter strategy. Their hook of choice is Bold Claim, often paired with specific weight-loss numbers. They invest in personalization infrastructure (Iterable handles this well). Their subject lines are tight and direct.
Conversion to your own program: if you're a wellness app, the takeaways are (1) consider higher personalization — Noom's 42% is materially above average, (2) Bold Claim hooks work in this category, (3) Win-back deserves more program weight than most brands give it.
Full breakdown lives on /brands/noom — pulled live from the BadRep vault.
What to look at, layer by layer
The dimensions that matter and the ones that don't.
Layer one — cadence. How many emails per month? On what days? At what times? Cadence tells you whether the brand thinks of email as a primary or secondary channel.
Layer two — type mix. What percentage of sends are promotional vs lifecycle vs educational? This tells you whether the program is broadcast-style (newsletter / promo) or trigger-driven (welcomes / abandoned carts / win-backs).
Layer three — hook patterns. What openings dominate? Bold Claim, Question, Story, Stat, Problem, Direct Offer? Different audiences respond to different hooks, and the dominant pattern reveals what the brand thinks works.
Layer four — copy frameworks. PAS (Problem-Agitate-Solution), AIDA (Attention-Interest-Desire-Action), Story, Direct. The framework choice signals where the brand thinks the subscriber is in their journey.
Layer five — offer mechanics. Discount depth, urgency mechanics, exclusivity framing, social proof. The promotional layer is the most measurable and easiest to copy.
Layer six — infrastructure. ESP, segmentation depth, personalization rate, mobile-first design. These reveal the brand's investment in the channel and shape what they can do.
Common mistakes in brand email research
Five ways researchers go wrong.
First — drawing conclusions from too small a sample. Two weeks of sends isn't representative. Eight to twelve weeks minimum, or pull from a tool that already has archive depth.
Second — treating recent sends as the whole program. Brands run seasonal campaigns. A November sample heavy on Black Friday tells you nothing about the rest of the year.
Third — over-indexing on individual brilliant emails. The interesting analysis is the pattern across the program, not the standout send. Standout sends are usually one-offs.
Fourth — confusing what the brand does with what works for the brand. A brand may send 20 promo emails per month not because it works, but because they haven't tested cutting frequency. Don't assume because they do it, it converts.
Fifth — researching to confirm a hypothesis. Go in with an open mind. The most valuable findings are the ones that contradict what you expected.
Questions marketers ask.
What makes a good email email?
What hook types do brands use for email emails?
Which ESPs do brands use to send email emails?
What's the average subject line length for email emails?
Where can I see more email email examples?
150+ brands. 200+ email emails.
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