Health & wellbeing · US iPhone listing

ASO Audit:MyFitnessPal

Does their ASO suck?

My take: Getting there. Keep going.

MyFitnessPal’s opening is clean and visually confident. But food labels floating over a meal do not explain the work of selecting an entry, checking a portion and saving it. That is the product story I would investigate.

MyFitnessPal first iPhone screenshot: salad photograph, publisher category claim and floating carbohydrate/protein labels.

Actual listing creative · App Store source ↗

What I actually checked

One storefront, one language and a dated capture. This is an independent editorial audit, not a client case study.

Store & market
Apple App Store · United States
Language & device
en-US · iPhone
Captured
30 September 2026
Creative reviewed
First 3 still screenshots; video and other devices excluded
Observed app name · 29/30 characters

MyFitnessPal: Calorie Counter

Observed subtitle · 29/30 characters

AI Nutrition & Macros Tracker

Open the source listing ↗. Public text cannot reveal the private keyword field, search volumes, rankings or conversion rates. The recommendations below are proposals to validate.

Three things worth your attention

01

The opening pair is one continuous food composition.

What I saw. The salad, background and bracket motif continue across the first two images, with nutrient labels and food-entry cards.

My read. These are not independent cards that can be shuffled casually. Moving one alone would break the visual story.

What I’d do. Treat the pair as the comparison unit and preserve it intact as control.

02

The entry-checking step is missing from the captured opening.

What I saw. The first two stills show nutrient amounts and ingredient records, but not a visible capture, portion edit or save interaction.

My read. A newcomer may infer less work or more certainty than the real workflow supports. The image itself cannot validate data accuracy.

What I’d do. Demonstrate a verified current input-and-review path and identify the plan required to use it.

03

The third frame explains the output.

What I saw. A nutrition summary shows a multi-day chart, macro proportions and a food list.

My read. This gives the logging activity a visible result. It does not make the illustrated goals suitable for every person.

What I’d do. Connect a real logged entry to the summary without turning illustrative numbers into health recommendations.

The screenshot teardown

The original creative is preserved. Numbered notes sit beside each frame so observations and recommendations stay separate.

Frame 01MyFitnessPal first iPhone screenshot: salad photograph, publisher category claim and floating carbohydrate/protein labels.

A food photograph carries nutrient labels beneath a category-leadership claim.

It communicates tracking at a glance but does not show where the values come from or how they are checked.

Test idea: Verify the claimed feature and its access requirements before using similar capture imagery in a new concept.

Original image source ↗
Frame 02MyFitnessPal second screenshot: continuation of the salad composition with ingredient entries, amounts and a fat label.

The shared composition adds food-entry cards with portions and calorie values.

It suggests a breakdown, while leaving the selection and correction workflow unseen.

Test idea: Keep the pair intact and design a separate treatment showing entry review before saving.

Original image source ↗
Frame 03MyFitnessPal third screenshot: nutrition dashboard with a multi-day chart, macro percentages and food list.

An actual summary interface shows how logged information can be reviewed.

The result is concrete, but the illustrated values and goals are examples rather than individual recommendations.

Test idea: Use this as the destination in a verified logging story and avoid promising a particular health or weight outcome.

Original image source ↗
Figure 1. First three still screenshots from the US iPhone listing, captured 30 September 2026. Creative belongs to the app publisher and is reproduced for analysis. Publisher claims inside screenshots are not independently verified.

Three alternatives—and what they make clearer

Observed competitor metadata

Lose It! – Calorie Counter ↗

Food Tracker for Weight Loss

Lose It! names calorie counting and food tracking, with a weight-loss-oriented subtitle.

The lesson: Compare the logging job without borrowing outcome promises that this public evidence cannot substantiate.

Observed competitor metadata

Cronometer: Calorie Counter ↗

Nutrition, macro, diet tracker

Cronometer pairs calorie counting with nutrition, macros and diet tracking.

The lesson: Nutrition terminology is shared across the category. The clarity of input and review can be a more useful distinction.

Observed competitor metadata

Lifesum: AI Calorie Counter ↗

Food Diary & Macro Tracker App

Lifesum includes AI calorie counting, a food diary and macro tracking in its metadata.

The lesson: An AI label does not explain accuracy, access or the user’s checking role; show those workflow details where relevant.

Figure 2. US listing names and subtitles captured 30 September 2026. These are positioning comparisons, not ranking or revenue comparisons.

The keyword questions I’d investigate

Intent candidates grounded in the listing—not fabricated search-volume or difficulty scores.

food diary / calorie counter

Visitor’s job: Record food and inspect a running summary.

Evidence: The observed name and the third screenshot establish counting and nutrition reporting.

Decision: Research the user’s logging job and vocabulary without assuming a weight-loss goal for every visitor.

macro tracker / nutrition log

Visitor’s job: Review the composition of recorded meals.

Evidence: The third frame explicitly displays macro proportions and a food list.

Decision: Validate this intent against the actual product and avoid presenting sample targets as universally appropriate.

meal scan / AI food logging

Visitor’s job: Reduce manual work when recording a meal.

Evidence: The name/subtitle and food-recognition-like creative invite investigation of assisted logging.

Decision: Confirm the exact current feature, plan and review steps before making speed or accuracy claims; the stills alone do not verify the mechanism.

The unseen keyword field may already cover some of these terms. Build an evidence-backed keyword shortlist before making a metadata change.

What I’d put on the table

Proposed copy for discussion. These are not current listing fields or tested winners.

Observed listing

MyFitnessPal: Calorie Counter

AI Nutrition & Macros Tracker

Proposed alternative

MyFitnessPal: Calorie Counter

Log food. Review your macros.

Name 29/30 · Subtitle 29/30 characters
Figure 3. A metadata alternative to review against the current listing.

Retain the familiar descriptive name and make the subtitle describe two observable tasks. This focuses on workflow rather than implying that automation removes the need to check an entry.

The tradeoff: The alternative removes explicit AI positioning and may underrepresent assisted logging for users seeking it. Validate that acquisition intent and current entitlements before deciding whether task clarity deserves the limited subtitle space.

A three-frame creative brief

  1. Proposed frame 01

    Add the food you want to log

    Show: A verified current entry workflow, with the actual input method and access context shown.

    Explain the starting action rather than implying that a photo alone guarantees exact information.

  2. Proposed frame 02

    Check the entry and portion

    Show: The real review/edit controls before saving, using clearly illustrative data.

    Make the user’s checking step visible and avoid promising nutritional precision from the creative.

  3. Proposed frame 03

    Review your recorded pattern

    Show: The current summary corresponding to the example entries, without a promised health outcome.

    Connect the inputs to a useful record while keeping illustrative goals distinct from advice.

Figure 4. A proposed storyboard, not a fabricated screenshot or a launched treatment. Validate features and access before production.

What three reviewers can teach us

Three 2024–2025 accounts were selected for repeat entry, setup effort and portion flexibility. They are positive overall but contain specific research questions. They do not establish current feature availability, nutritional accuracy, current price or health outcomes.

Sample: 3 selected accounts from 8 displayed reviews. Dates: 17 July 2024–11 August 2025. No sentiment percentage is calculated.

16 April 2025 · 5/5 stars

“food favorites”

An April 2025 reviewer valued reusing food entries and described meal-planning features.

What I’d investigate: Investigate repeat logging and plan access. Their reported value does not verify current pricing or health effectiveness.

Listing review source · Review ID 12549620037

17 July 2024 · 5/5 stars

“a bit of work”

A July 2024 reviewer described initial setup effort becoming easier with continued use.

What I’d investigate: Test whether the listing honestly explains the input/reuse workflow; do not reuse their personal weight account as an outcome promise.

Listing review source · Review ID 11504243245

11 August 2025 · 5/5 stars

“half of a portion”

An August 2025 reviewer requested more flexible family portions in meal planning.

What I’d investigate: Verify current portion controls and separate meal planning from the core logging workflow before changing acquisition copy.

Listing review source · Review ID 13003257698

A displayed review can be old, unusually positive or internally inconsistent with its star rating. These accounts suggest questions; they do not establish current defects or typical customer experience. Use the Review Research Desk to keep evidence and interpretation separate.

What I’d do first

01

Verify the assisted-entry workflow

The opening can be read as a strong automation promise.

Deliverable: A current product walkthrough covering input, correction, portion and save steps, with plan access.

Product verification
02

Build a complete two-frame alternative

The current first pair is connected and should remain intact as control.

Deliverable: A self-contained input/review pair using authentic UI and truthful illustrative values.

Focused creative production
03

Keep reporting distinct from advice

The chart is useful as a product example, not a universal target.

Deliverable: A creative review that removes implied accuracy guarantees and health-outcome claims.

Editorial review

One test worth running

Does an explicit input-and-review opening pair convert better than the current food-and-nutrient composition?

Audience
Eligible US English iPhone default-page visitors, without assuming a diagnosis, diet or weight goal for any individual.
Control
Current connected first-two screenshot composition, with the remaining sequence unchanged.
Treatment
Replace the pair with verified input and entry-review screens; keep the summary frame, metadata, offers and remaining creative fixed.
Method
Use eligible App Store product page optimization after product verification and comprehension research. This is a two-frame concept comparison, not an isolated test of one label or a nutritional-accuracy study.
Primary measure
Platform-reported download conversion for eligible randomized traffic.
Guardrails
Check in separate interviews whether visitors understand required review, feature access and that illustrated data are examples. Do not measure or infer health outcomes from this store test.
Decision rule
Predefine the useful effect and sample plan using actual traffic. Reject a misleading concept even if attention improves; retain control when the conversion evidence is inconclusive.
What could muddy the result
Plan changes, new assisted-entry features, seasonal fitness campaigns and shifts in logging versus meal-planning intent may affect interpretation.

Check Apple’s current product page optimization guidance and custom product page guidance before configuring a test. Write your experiment brief.

So, does their ASO suck?

Getting there. Food, nutrition and macro tracking are clear, and the third frame shows an actual summary. The connected opening pair makes data extraction look simple without showing the input or verification step. A more explicit logging workflow could set clearer expectations; this audit does not assess nutritional accuracy or health outcomes.

  1. Level 1

    Yeah. It really does!

    The basics need a serious rethink.

  2. Level 2

    I hope no agency is getting paid for this.

    Too many obvious things have been left unfinished.

  3. Level 3

    The app deserves better.

    There is a useful product here. The listing needs to show it.

  4. Level 4

    Fine. If ‘fine’ is the goal.

    The essentials are there, but there is little to get excited about.

  5. Level 5MyFitnessPal is here

    Getting there. Keep going.

    Good ideas, with a few important gaps still to close.

  6. Level 6

    Solid. Put the pitchfork down.

    A strong foundation. Look for specific improvements, not a complete restart.

  7. Level 7

    Whoever did this knows their stuff.

    Clear positioning, thoughtful choices and very few loose ends.

  8. Level 8

    Okay, now you’re showing off.

    An unusually clear, convincing storefront worth learning from.

An editorial verdict on the captured storefront, not a measured ASO score or an assessment of an agency’s private work.

Your ASO assignment

  1. Document the real input, correction, portion and save steps for your tracking app.
  2. Mark every creative element that could imply automatic accuracy or universal feature access.
  3. Compare complete opening concepts while keeping any connected original artwork intact as control.

What would change my mind?

Sources and scope

No private analytics, search-rank dataset or internal keyword field was supplied. Review quotations are short excerpts; explanations are our summaries. App names and screenshots belong to their respective owners. We are not affiliated with MyFitnessPal. Read our editorial methodology.

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