What % of pricing pages highlight a 'Most popular' plan, and which column gets it?
- By Ali Abouelatta
- n = 301
- Published
- Updated
- 3 min read
- pricing · monetization · experiments · upsell · saas · design
Short answer
38% of the 301 detected pricing experiments (115 of 301) reference a 'Most popular' / 'Best value' / 'Recommended' badge or highlighted plan — making highlight badges the single most-mentioned structural device after annual billing source[1]. On mobile 'All plans' screens the badge shows up on 16% (41 of 255) of captures, a lower rate that reflects those screens often defaulting to a single promoted plan instead of a labeled grid source[2]. The badge almost always lands on the plan the company wants you to pick — usually the mid or premium tier, not the cheapest.
38% of 301 detected pricing experiments (115) mention a 'Most popular' or 'Best value' highlight badge — the top structural device after annual billing (July 2026).
The finding
Two independent lower-bound reads on badge prevalence source[1]source[2]:
| Source | Badge present | Share | Denominator |
|---|---|---|---|
| Pricing experiments (keyword) | 115 | 38.2% | 301 detected experiments |
| App 'All plans' screens (vision JSON) | 41 | 16.1% | 255 described screens (24 companies) |
Both are keyword/regex matches over LLM-written text, so they under-count the true rate — they capture 'the summary mentioned a badge', not a full audit of every page source[1]source[2]. The experiment share is higher because a badge move is exactly the kind of change worth testing; the app-screen share is lower partly because mobile plan pickers frequently promote one default plan rather than badge a column in a grid.
Which column gets the badge
The badge tracks the plan the company is steering toward, and detected experiments show that target itself gets moved source[1]:
- Hold the highlighted anchor while trimming flanks: one creator tool cut Hobbyist ($16→$12) and Business ($50→$40) but kept the 'Most Popular' Creator plan at $24 — protecting the anchor tier's ARPU while lowering the entry barrier.
- Promote a pricier tier into the spotlight: a freemium web product swapped the highlighted center card from mid-tier Pro ($2.99) to top-tier Pro+ ($5.00), demoting Pro to a dark side slot — betting that steering upgraders to the premium tier beats maximizing cheap conversions.
So 'which column' isn't fixed: it's the tier you most want chosen, and moving the badge to a higher tier is a deliberate ARPU lever.
How to apply this
Treat the badge as a steering wheel, not decoration. If your goal is volume, badge the plan most buyers already pick and lower the flanking tiers around it without discounting the anchor. If your goal is ARPU, test promoting the next tier up into the highlighted center slot source[1]. Because both moves are detected diffs with model-inferred rationale — not confirmed lift — validate with your own A/B before committing. Note the badge is a lower-bound signal in our data, so the true share of pages using one is higher than 38%.
The numbers
| # | Stat | Computed from |
|---|---|---|
| 01 | 38.2% (115/301)exp_badge_share | pricing experiments mentioning most popular/best value/recommended badge, keyword match over 301 annotations |
| 02 | 16.1% (41/255)app_badge_share | app 'All plans' screens mentioning a highlight badge in vision JSON, 255 described screens across 24 companies |
| 03 | 57.1% (172/301)exp_annual_share | pricing experiments referencing annual/yearly billing — the only structural device mentioned more than badges |
Methodology
Universe: 301 detected pricing-area experiments plus 255 app 'All plans' vision-described screens (24 companies), Lazyweb Research, July 2026. Badge prevalence is a keyword/regex lower bound over LLM-written text; experiments are detected UI diffs with inferred rationale, not measured lift.
Sources
- [1]
Lazyweb Research analysis of 301 pricing-area experiments (detected before/after UI diffs), July 2026
Badge share is an ILIKE/regex keyword match ('most popular'|'best value'|'recommended'|badge) over LLM-written before/after summaries — a lower bound, counting mentions not audited pages.
- [2]
Lazyweb Research analysis of 255 app 'All plans' screens (24 companies, mobile subscription paywalls), July 2026
Badge presence detected via regex over vision_description_json text; concentrated in 24 companies, so this is a screen-level share within a narrow set, not a broad census.
Source: Lazyweb Research — proprietary analysis of real, in-market app screens. Cite as Lazyweb Research, 2026-07-07.