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Marketing Academy · Field Work●Human Psychology
MiniAudit· 20 minutes

Feeling or Feature? Auditing Your Own Headlines for System 1

Duolingo

Objective: Given 3 real ad or landing-page headlines, classify each as feeling-first or feature-first, rewrite the feature-first ones, then collect 3 real 'why did you buy' answers to check what customers say versus what likely moved them first.

You're a growth marketer at Duolingo checking whether the app's own paid-search headlines lead with an emotional payoff (confidence, relief from guilt) or a feature (streaks, XP, lesson count) before a new batch of ad variants goes live.

Classify 3 real headlines as feeling-first or feature-first, rewrite the feature-first ones, then collect real customer reasoning to see what they say after the fact.

Before you start

What you'll need

Free path (everything below is enough to finish)

FreeClassify and rewrite headlines

Free, fast for a small comparison table

FreeCollect real 'why did you buy' answers from users

Free, no account needed for respondents

The process

2 steps

Step 01 of 02

Leading the headline with a feeling instead of a feature

The lesson's rule: 'Sleep through the night again' beats '10-hour battery.' Lead the headline with the feeling the product produces, save the spec for the third paragraph where System 2 goes looking for ammunition.

Pull 3 real headlines (Duolingo's own paid-search ad, plus 2 competitor language-app ads). For each, is the first clause a feeling or a feature? Rewrite any feature-first headline.

Google Sheets— New sheet: headline | feeling-first or feature-first | rewrite (if needed)

Procedure

  1. Copy 3 real headlines in one category
  2. Underline the first clause of each and classify it as naming a feeling (relief, pride, confidence) or a feature (streaks, price, spec)
  3. For any feature-first headline, rewrite it to lead with the feeling the feature produces
  4. Keep the original feature language in the rewrite, just move it to the second clause
Sample output
headline | classification | rewrite
"500+ million downloads, learn 40+ languages" | Feature-first | "Finally speak Spanish without freezing up, one 5-minute lesson at a time."
"Never lose your streak" | Feeling-first (loss-aversion pride) | no rewrite needed

Healthy

The team can point to a specific feeling word in the winning headline, not just 'it converted better.'

Unhealthy

Every headline in the account opens with a number (downloads, price, lesson count) and nobody has tested a feeling-first version.

What this means

A feature-first headline talks to System 2, the part of the brain that's already tired and skeptical by the time it reads an ad; a feeling-first headline talks to System 1, which decides in about 50 milliseconds.

So what do I do about it?

SymptomActionEffort
Every headline in the account leads with a number or specA/B test a feeling-first rewrite of the top 3 spending ads against the current feature-first versions30 min
YouYou can do this yourself, no engineering access required.

Step 02 of 02

Testing the post-purchase rationalization

The lesson's rule: ask customers why they bought, their stated reasons are the logical scaffold System 2 built after System 1 already decided, and that language belongs in retargeting and case studies, not in the first headline.

Collect 3 real 'why did you buy/subscribe' answers (from reviews, a quick survey, or people you know who use the product). Do the stated reasons sound like justifications, and would a feeling-first or feature-first headline have gotten them there first?

Google Forms— One-question form: 'Why did you start using this product?', sent to 3 real users

Procedure

  1. Create a 1-question Google Form: 'Why did you start using [product]?'
  2. Send it to 3 real users or pull 3 real public reviews mentioning a reason
  3. Log each answer, and note whether it reads as a feature justification (price, spec) or a feeling (relief, pride)
  4. Compare against the headline classification from Step 1, does the stated reason match what likely got their attention first?
Sample output
answer 1: "It's cheaper than a tutor and I can do it on the bus." (feature justification, arrived after the fact)
answer 2: "I felt embarrassed I couldn't order food in Spanish on my trip, so I just wanted to not feel like that again." (the actual feeling that drove the decision)

Healthy

At least one answer names an emotional trigger (embarrassment, relief, pride) that predates the logical reasons listed afterward.

Unhealthy

The survey only asks 'rate our features 1-5' and never gives the customer room to describe the moment or feeling that triggered the purchase.

What this means

The feature-sounding answers aren't wrong, they're just System 2's paperwork; the feeling named alongside them is the System 1 decision that actually happened first.

So what do I do about it?

SymptomActionEffort
Case studies and testimonials only quote feature reasonsAsk one follow-up question in every customer interview: 'What were you feeling right before you decided to buy?'5 min
YouYou can do this yourself, no engineering access required.

Final deliverable

A 3-headline feeling-vs-feature classification with rewrites, plus 3 real customer 'why I bought' answers mapped against them.

See a reference example
Sample output
Chewy, headline audit (excerpt)

headline: "Free shipping on orders $49+" | Feature-first
rewrite: "Never run out of food for your best friend again, free shipping on orders $49+."

real answer collected: "I signed up the week after I forgot to reorder and had to drive to a gas station for cat food at 11pm." (the feeling: panic/relief, not the free-shipping feature)

Success criteria

You're done when you can:

  • Correctly classifies all 3 headlines and rewrites every feature-first one
  • Collects at least 2 real customer answers and identifies the underlying feeling in at least one