App Stack DetectorFood + Beverage

What Shopify apps does LMNT use?

LMNT is running 6 signature-matched Shopify apps across 4 categories on its public storefront.

6

apps + footprints detected

4 categories

Live result · refreshed 2026-05-29

drinklmnt.com
Screenshot of LMNT's Shopify storefront

About LMNT

Founded 2019 · US

Robb Wolf (paleo-diet author) and Luis Villasenor (low-carb keto coach) formulated LMNT specifically for athletes + low-carb dieters who shed electrolytes faster than gym-supplement formulas could replace them. The brand grew almost entirely through podcast partnerships — Joe Rogan, Tim Ferriss, Huberman Lab. CAC stays low because creators do the audience-targeting work for them.

Public scale markers

Disclosed in filings, acquisitions or named press reporting — not estimates.

  • 01Bootstrapped — no institutional capital
  • 02$200M+ revenue (latest public estimates)
  • 03700+ podcast partnerships

Notable for the app stack detector

LMNT's tech stack reflects podcast-first attribution — heavy referral-tracking, custom UTM playbooks, subscription-first cart UX. Watch for these signals in App Stack output.

Detected Shopify apps on LMNT

Grouped by category. Confidence reflects how distinctively each app's signatures matched in the storefront HTML.

Page Builder

1
  • Builder.ioby Builder.io100%

AI / SEO

1
  • Cloudinaryby Cloudinary100%

Analytics

3
  • Convert.comby Convert100%
  • Google Analytics / Tag Managerby Google100%
  • Hotjarby Hotjar40%

Email + SMS

1
  • Klaviyoby Klaviyo60%

What this stack reveals

LMNT's stack concentrates in Analytics (3), Page Builder (1), AI / SEO (1). That density distribution is consistent with the food + beverage brand pattern at this scale — the most-loaded category usually tells you where the team has invested operational rigour. For example: a heavy Email + SMS layer signals lifecycle-marketing maturity, while a heavy Subscriptions layer signals recurring-revenue mechanics in play.

Cross-check with the Theme Detector to see what the underlying theme + customisation depth signals, or the Schema Audit to spot the typical rich-result gaps at this brand scale.

Run live

These results refresh every 24 hours. To re-run the analysis right now — or to analyse a different storefront — open the live App Stack Detector with ?url=drinklmnt.com preserved.

Open the live App Stack Detector