Glamour: Color Analysis & Glow Up: Revenue, team and how it was built
Glamour: Color Analysis & Glow Up (AI colour-season analysis and virtual make-up app for iPhone, Turkey): US$173K in verified revenue in 12 months, October 2026. Evidence grade A: disclosed by a company or a filing, or verified by a payment processor. Team: Not published; the App Store seller, Appfluence Media LLC, has 4 apps, and the founder appears only under the name "Lynex". Launched 25 January 2025; still running, revenue falling.Added 25 October 2026
- Outcome
- US$173K in verified revenue in 12 months, October 2026Revenue falling
- Evidence
- A disclosed by a company or a filing, or verified by a payment processor
- Launch
- 25 January 2025
- Status
- Still running
- Team
- Not published; the App Store seller, Appfluence Media LLC, has 4 apps, and the founder appears only under the name "Lynex"
- Outside funding
- None disclosed
- Main channel
- Paid ads
Glamour is an iPhone app for personal colour analysis, a styling method that sorts a person's skin, hair and eye colouring into one of four "seasons" and recommends the clothing and make-up colours of that season. The user uploads a selfie, and the app's website says: "Just 30 seconds! Take a selfie and our AI will analyze your features instantly." The result names the season, shows a palette, colours to avoid, celebrities with the same season, and labels such as undertone, skin tone, contrast and face shape. A "Glow Up" screen shows an edited image of the user's own face with a make-up look and the steps to copy it, and the app recommends Sephora products that match the palette. The app is free to install with in-app purchases, payments made inside an iPhone app and collected by Apple. The App Store lists seven prices for a subscription called Glamour Plus: All In Beauty+, from US$4.99 to US$74.99, without saying which period each covers.
The App Store names the seller as Appfluence Media LLC, which also publishes a hairstyle app and two party games. No source names a person behind it: on TrustMRR the profile gives the country as Turkey, and on whatsthe.app, an app revenue directory, the founder appears only under the name "Lynex". The app was released worldwide on 25 January 2025. TrustMRR, a service that reads revenue through the seller's own billing account, shows US$217,346 in total revenue by 25 October 2026, of which US$172,972 came in the last twelve months. The best month was May 2026 with US$19,737. Then revenue fell: US$10,940 in September 2026, and monthly recurring revenue (MRR, the monthly value of all active subscriptions) of US$4,380 from 298 subscriptions on 25 October 2026, against US$9,441 from 602 subscriptions that whatsthe.app showed on 5 October 2026.
The revenue figures are grade A: TrustMRR reads them through an API key from RevenueCat, a subscription-management service that records an app's App Store purchases. whatsthe.app shows figures from the same RevenueCat connection, so it confirms the dates but is not an independent second source. Everything else on this page, including the team, the advertising and how the analysis works, comes from the seller's own pages and is grade C. The page also shows earlier companies that sold personal styling or virtual try-on, and why they failed.
How much revenue does Glamour: Color Analysis & Glow Up make?
Each row shows the evidence grade and the source numbers from the list at the end of this page. The grades are explained in How Aiolum verifies.
| Fact | Value | Grade | How we know | Sources |
|---|---|---|---|---|
| Verified revenue, last 12 months to 25 October 2026 | US$172,972 | A | TrustMRR, from RevenueCat through an API key, last synced 25 October 2026. The twelve monthly values on the same profile add up to US$171,509, because the rolling window and the calendar months do not cover exactly the same days. | [1] |
| Verified revenue since launch, 25 October 2026 | US$217,346 | A | TrustMRR, all time. | [1] |
| Revenue before November 2025 | US$44,374 | calc | Calculated: all-time revenue minus the last twelve months. | [1] |
| Best month | US$19,737, May 2026 | A | TrustMRR monthly timeline. March 2026 was US$19,627 and April 2026 US$18,825. | [1] |
| Revenue, September 2026 | US$10,940 | A | TrustMRR monthly timeline. 44.6% below May 2026 (calculated). October 2026 to the 25th: US$4,714. | [1] |
| Revenue, last 30 days to 25 October 2026 | US$6,439, down 42.9% | A | TrustMRR. Daily revenue fell from US$325 to US$359 a day in the last days of September 2026 to about US$100 to US$200 a day in late October. | [1] |
| Monthly recurring revenue, 25 October 2026 | US$4,380 from 298 active subscriptions | A | TrustMRR metric snapshot; MRR growth over the last 30 days shown as -55.3%. | [1] |
| Monthly recurring revenue, 5 October 2026 | US$9,441 from 602 active subscriptions | A | whatsthe.app, "verified with RevenueCat", last updated 5 October 2026. Its record names the credential as "revenuecat-trustmrr", so it is the same connection as TrustMRR, not an independent source. Revenue in the last 28 days: US$9,809. | [4, 5] |
| Profit margin, last 30 days to 25 October 2026 | 45.0% | C | A TrustMRR metric snapshot. The profile does not say how the costs were read; it mentions Meta Ads spend among the metrics that need a login. | [1] |
| Growth claim in the seller's description | from US$222 to US$15.8K MRR in 10 months through Meta campaigns in Turkey | C | Founder-written profile text on TrustMRR, undated. The same text claims about 9% churn and zero refunds. Not verified. | [1] |
| Worldwide release | 25 January 2025 | C | whatsthe.app app page, from App Store data. | [4] |
| App Store ratings | about 7,000, of which 6,400 in the Turkish store | C | whatsthe.app, all storefronts. The US store shows 77 ratings with an average of 4.3. The website's lines "Trusted by 1,000,000+ women" and "Rated 4.8★ on the App Store" do not match these counts. | [2, 4, 6] |
| Age rating | 4+ | C | US App Store. The website's privacy policy says the services "are not directed to individuals under the age of 16". | [2, 6] |
| Seller | Appfluence Media LLC, 4 apps | C | App Store developer page: Glamour, AI Hair Style&Care - HairMaxx, Meme Jam and Doodle Phone. No source gives a headcount or a person's full name. | [2, 3] |
| Updates | 25 versions from 3 July 2025 to 25 June 2026 | C | App Store version history as shown on 25 October 2026. No version after 25 June 2026. | [2] |
| Time from release to the October 2026 figure | 21 months | calc | Calculated: January 2025 to October 2026. | [1, 4] |
| Yearly value of the October 2026 MRR | US$52,560 | calc | Calculated: US$4,380 times 12. The last 30 days of revenue times 12 give US$77,268. Both are far below the twelve-month total of US$172,972. | [1] |
How to read this table: a grade A value was read by TrustMRR, or by whatsthe.app through the same connection, from the app's RevenueCat account. A grade C value is what the seller, its website or the App Store page states. A "calc" value was computed on this page from the rows above it.
| Plan | Per month, billed yearly (US$) | Per month, billed monthly (US$) | Limit |
|---|---|---|---|
| Free | 0 | 0 | basic colour-season analysis, per the website FAQ |
| Glamour Plus: All In Beauty+ | prices listed: US$4.99, US$7.99, US$9.99, US$24.99, US$49.99, US$74.99; periods not shown | ||
| Glow Up: AI Makeup & Color | US$0.99; type of purchase not shown |
The App Store lists eight in-app purchases: seven prices for Glamour Plus: All In Beauty+ (US$4.99 appears twice) and one called Glow Up: AI Makeup & Color at US$0.99. It does not say which price is weekly, monthly or yearly, so the period columns are empty; several prices for one product usually mean that the app shows different offers to different users. The website's FAQ says that the basic season analysis is free and that detailed palettes and make-up guides need a subscription. whatsthe.app shows an average revenue per paying user of US$15.68 on 5 October 2026. Apple collects the payments and keeps its commission; the TrustMRR profile does not say whether its figures are before or after that commission.
When did Glamour: Color Analysis & Glow Up launch, and how did it grow?
From a worldwide release in January 2025 to US$217,346 of verified revenue 21 months later, with the peak in spring 2026 and a fall since. Each entry carries its grade.
- 25 January 2025CThe app is released worldwide on the App Store by Appfluence Media LLC. [4, 2]
- 24 April 2025CDate of the privacy policy on the app's website. It says that selfies are processed to find the colour season and are not stored afterwards. [6]
- July to October 2025CNineteen versions in four months. Every release note shown, from July 2025 on, says "We know you came from Instagram!". [2]
- November 2025AUS$12,616 in verified revenue in the month, the first month in the public part of the TrustMRR timeline. US$44,374 had come in before it (calculated). [1]
- January 2026AUS$15,775 in the month. [1]
- March to May 2026AThree months between US$18,825 and US$19,737 each; May 2026 is the best month. [1]
- 25 June 2026CVersion 9.1, the last update shown on the App Store page in October 2026. [2]
- July and August 2026AAbout US$13,300 a month, about a third below the spring months. [1]
- 21 August 2026CThe app is added to the whatsthe.app revenue directory with its RevenueCat figures. [5]
- September 2026AUS$10,940 in the month. [1]
- 5 October 2026AMRR US$9,441 from 602 active subscriptions, on whatsthe.app. [4]
- 25 October 2026AMRR US$4,380 from 298 subscriptions on TrustMRR. US$172,972 in the last twelve months and US$217,346 since launch. [1]
Why did Glamour: Color Analysis & Glow Up work?
Four causes, in the order they mattered. Each one is a reusable lesson.
A human service, done from one photo
Colour analysis is normally a session with a consultant who holds coloured fabrics next to the client's face. The app gives a season, a palette and make-up advice from a selfie, and the website's FAQ says it takes 30 seconds. The App Store text still speaks of "our stylists' expert color matching", while the website says "Let AI find your perfect colors"; no source says whether any human checks a result.
Paid social ads in one country first
The seller's own TrustMRR description says that the growth came "through Meta campaigns in Turkey alone", and Meta owns Instagram and Facebook. The release notes greet users with "We know you came from Instagram!", and about 6,400 of the app's roughly 7,000 ratings are in the Turkish App Store. The app is translated into eight languages, so other countries were possible next markets.
A free result, a paid report
The season itself is free. The detailed palette, the make-up guide and the Glow Up images need the subscription. A user sees a result about their own face before the paywall, which is a strong reason to pay for the rest.
Creators with discount codes
The website contains a creator area where TikTok users could make a 50% discount code, post a video of at least 30 seconds that mentions the app and tags its TikTok account, and wait for approval. In October 2026 the page said that registration was not active. No source says how much revenue came from it.
How it was built
These details come from the seller's TrustMRR profile, the App Store page and the website's page code. They are grade C, except the RevenueCat connection, which TrustMRR confirms. [1, 2, 6]
- The tech stack listed on the TrustMRR profile, which the seller writes: SwiftUI, Swift and Expo for the app, Node.js and Express on DigitalOcean for the server, and RevenueCat for subscriptions.
- Subscriptions are sold through Apple's in-app purchases and recorded in RevenueCat, which TrustMRR and whatsthe.app read through an API key.
- No source names the AI model that reads the selfie or edits the make-up images. The privacy policy says that "secure AI algorithms" extract colour and feature information and that selfies are not stored after processing.
- The website glamourapp.net is a single-page app whose page source loads the script of GPT Engineer, the AI site builder now called Lovable. It has an English and a Turkish version.
- The App Store privacy labels declare that contact information, identifiers, usage data and diagnostics may be used to track users across other companies' apps, which is what ad measurement for Meta campaigns needs.
- The seller published 25 versions between July 2025 and June 2026, sometimes two in one day.
Tools named in the sources
Each one opens its page in the Tools tab, with every story that uses it.
Who tried this before Glamour: Color Analysis & Glow Up, and why did they fail?
Five companies in the Loot Drop database promised personal styling, a better way to choose clothes, or fashion and beauty for Turkish women. The values below are from that database and are not independently verified.
Thread
The promisePersonal clothing recommendations from human stylists helped by machine learning.
Why it diedThe cost of the human stylists did not fall as the company grew, and faster, more automated competitors squeezed its margins.
Trunk Club
The promiseA personal stylist who chose clothes and sent them to the customer's door.
Why it diedBought by Nordstrom in 2014, it depended on human stylists and shipping boxes, and data-driven rivals scaled better. Nordstrom closed it in 2019.
Try.com
The promiseTry clothes on before paying for an online order.
Why it diedHigh operating costs, few retailers willing to join, and the free returns of Amazon and Zappos.
Lidyana
The promiseFashion, beauty and lifestyle content with shopping, made for Turkish women.
Why it diedPaid editorial staff and held stock at the same time, then lost its readers to Instagram creators who gave the same advice for free.
Polyvore
The promiseBuild outfits and style boards from products found on the web.
Why it diedAfter its sale to Yahoo it could not keep its users against Pinterest and Instagram.
The failed startups come from Loot Drop, a free database of dead startups, retold here in our own words. Loot Drop describes its entries as AI-assisted summaries of public sources, so these cards carry no evidence grade.
What changed
Thread and Trunk Club sold style advice from human stylists, and the database records that the stylists were the cost that did not shrink as the companies grew. Glamour gives a narrower answer, a season and a palette, but it gives it from a selfie without a person in the loop, so one more customer costs a model call and a little server time. Lidyana and Polyvore lost their readers to Instagram; Glamour, by its own description, found its buyers there through paid Meta ads.
The predecessors needed shipping, stock or staff, and raised millions of dollars. No source mentions outside funding for Glamour, and TrustMRR shows a 45% profit margin over the last 30 days. What the predecessors teach still applies: a product that one ad channel feeds depends on the price of that channel, and the verified figures show revenue falling by more than half within October 2026, with no app update since June.
Can one person copy Glamour: Color Analysis & Glow Up now?
Yes, with paid ads and a narrow, visual result.
Nothing in the product is hard to build: a selfie, a classification into four seasons, a palette and an edited image. What worked, by the seller's own account, was paid Meta advertising in one country where the app's language and the ads matched the audience. The verified curve also shows the risk: revenue fell from about US$19,700 a month in May 2026 to under US$5,000 in the first 25 days of October, as TrustMRR reports it.
Where it is still open: Other analyses that consultants do from a face or a photo without judging the person's looks: hairstyle and glasses-frame suggestions, wardrobe colour checks for an existing closet, make-up shade matching for a given product range.
- 1Pick a paid service that people book with a human consultant and that a model can approximate from one photo.
- 2Show the free result before the paywall, and sell the detailed report and the edited images as a subscription.
- 3Test paid social ads in one country and language first, and measure revenue per user through a subscription tool such as RevenueCat.
- 4Keep shipping updates and new hooks, because the same ads that bring users can stop working within weeks.
What could go wrong for Glamour: Color Analysis & Glow Up?
The risks are the mirror image of the causes above.
Revenue is falling fast
TrustMRR shows US$19,737 in May 2026, US$10,940 in September and US$4,714 in the first 25 days of October. MRR fell from US$9,441 on 5 October to US$4,380 on 25 October 2026, and daily revenue in late October was less than half of late September. No source explains the fall; the app has had no update since 25 June 2026.
No named person and no headcount
The App Store seller is Appfluence Media LLC, with four apps. TrustMRR gives Turkey as the country, and whatsthe.app lists the founder only as "Lynex". No source gives a full name, a register entry or the number of people, so the team label "small" on this page is an assumption from the size of the app list, not a verified fact.
Marketing claims that do not match the data
The website says "Trusted by 1,000,000+ women" and "Rated 4.8★ on the App Store", and shows three reviews with first names only. The App Store shows about 7,000 ratings across all stores, 4.3 in the US store, and TrustMRR shows 298 active subscriptions on 25 October 2026.
AI or stylists
The website says that "our AI will analyze your features instantly", while the App Store text speaks of "our stylists' expert color matching". No source names the model or says whether people review the results.
Age rating and selfies
The app is rated 4+ on the App Store, while its privacy policy says it is not directed at anyone under 16. It processes selfies and declares tracking across other companies' apps. The app classifies colouring and face shape and edits make-up onto the face; no downloaded page shows a score or rating of the user's attractiveness.
One ad channel, one country
By the seller's own description the growth came from Meta campaigns in Turkey, and most ratings are Turkish. A rise in ad prices or a change in Meta's targeting would reach revenue directly, and Apple's suggestions on the app's page list several other colour-analysis and glow-up apps.
Sources
The grade next to each source is the best grade that the source can support. "Read in full" means that the text of the page was downloaded and the numbers were checked in it.
- A TrustMRR profile of Glamour, as read on 25 October 2026Read the markdown profile in full, live on 25 October 2026. Revenue, monthly timeline, daily revenue, MRR and subscription counts are read from RevenueCat through an API key and are grade A. The description, the growth claim, the country, the tech stack and the profit-margin snapshot are seller-written or not explained, grade C.
- C App Store page: Glamour:Color Analysis&Glow Up, US storefrontRead in full on 25 October 2026, with its five screenshots. Source for the description, the in-app purchase prices, the version history and release notes, the ratings and reviews, the age rating, the seller name and the privacy labels.
- C App Store developer page: Appfluence Media LLCRead in full on 25 October 2026. Lists the seller's four apps.
- A whatsthe.app page for Glamour:Color Analysis&Glow UpRead in full on 25 October 2026. Revenue and subscription figures "verified with RevenueCat", last updated 5 October 2026, through the same connection as TrustMRR. Also the worldwide release date, the ratings per storefront and the in-app prices (grade C).
- C whatsthe.app revenue leaderboardRead the Glamour row and its page data on 25 October 2026. Source for the founder name "Lynex", the date the app was added (21 August 2026) and the credential type "revenuecat-trustmrr".
- C Glamour website, home page and privacy policy (last updated 24 April 2025)The page text loads by script, so the English and Turkish texts were read from the site's script file on 25 October 2026. Source for the AI claims, the FAQ, the Sephora recommendations, the creator program, the marketing claims and the privacy policy. The page source shows the gptengineer script.
- C Loot Drop database export, 1,749 failed startupsLocal export. AI-written summaries, not independently verified. Source for the failed predecessors.