← Idea market
Fitness170 searches / mo

Climbing session logging

Grades, attempts, and skin.

Opportunity score

3,210 / 10k

Niche, but buildable. Small audience, low noise.

Rank

#160

Gap

A

  • Demand

    0

    170 contestable searches a month across 9 related keywords.

  • Momentum

    26

    Last three months ran down 28.8% against the three before, seasonality smoothed out.

  • Competition gap

    76

    13 real products rank on page one for this, ad competition 0.03.

  • Crowd

    n/a

    Only 4 rankings so far, not counted until 5.

  • Willingness to pay

    n/a

    No ad pricing on this keyword, so there's no read on whether money moves here.

What this score is based on

evidence checked 9/28/2026

  • Search demand verified against Google Ads data
  • 12 months of search history
  • 9 related keywords clustered
  • No firsthand pain signals collected yet
  • 13 competitors analyzed from page-one results
  • 4 crowd rankings from builders

Search demand comes from Google Ads data via DataForSEO and refreshes daily. Competitors come from a live scan of page-one results. Crowd input comes from builders ranking ideas 1-2-3 on the market.

Keyword cluster

9 keywords · 170 searches a month combined

Demand counts the whole cluster: 170 searches a month across every relevant way people look for this problem. The intent label on each keyword tells you how close that searcher is to wanting software.

KeywordIntentSearchesCPCAd comp.
climbing training appwants a tool50$0.340.02
rock climbing training appwants a tool50$0.340.02
app climbing trainingwants a tool10--
best climbing training appwants a tool10-0.02
best hangboard training appwants a tool10-0.00
climbing workout appwants a tool10-0.14
hangboard training appwants a tool10-0.00
metolius hangboard training appwants a tool10--
trango rock prodigy trainingunclear10$0.971.00

CPC is what an advertiser pays Google for one click on that phrase — a rough price tag on how valuable the visitor is. Ad comp. runs 0 to 1 and is how full the ad auction is: near 1 means advertisers are fighting over it (money is there, but ranking is hard), near 0 means almost nobody bids.

Who has the problem

Climbers struggle to consistently and effectively log detailed session data, including grades, attempts, and skin status, using general-purpose tools. This makes it difficult to analyze their training, identify trends, or track progress in a meaningful way over time.

Who experiences it
A rock climber trying to track their progress and training.
When it happens
After a climbing session, they need to record specific details like grades, attempts, and skin condition.
How often
This occurs after every training or climbing session.
What they do today
They likely use generic tools such as a notes app or a spreadsheet to log their climbing data, which lacks climbing-specific fields or analytical capabilities.

Read off 9 search phrases, 9/28/2026.

Why now

Demand is cooling; build only if you have an angle the incumbents lack.

  • Searches are down 40% year over year

    47 a month twelve months ago → 28 now for "climbing training app".

  • Cooling 29% over the last quarter

    Last three months of searches against the three before them.

  • Peaks in January

    Demand swings 200% across the year, so ship roughly two months before January.

  • 3 real products on page one

    Alongside 10 articles and reference pages, which is room a focused tool can take.

  • 4 builder rankings back it

    Crowd rating 1471 Elo from head-to-head votes on the market.

Search data

verified · dataforseo:us · refreshed 9/28/2026

Lead keyword
climbing training app
Cluster volume
170 / mo
across 9 related keywords; lead phrase is 50 / mo
CPC
-
what an advertiser pays for one click here
Ad competition
0.03
0-1 scale: barely any advertisers bidding

Opportunity score 3,210 = 40% contestable search demand (170 a month across 9 keywords) + 25% how open the competition still is (13 products on page one) + 15% momentum (last three months vs the three before, capped so one bucketed month can't swing it) + 10% willingness to pay (no ad pricing) + 10% crowd rankings (Elo 1471, 4 head-to-heads, weighted by how many votes exist). Anything we can't measure is dropped and the rest re-weighted, so a blank signal never counts as an average one. Search data refreshes daily from Google Ads via DataForSEO.

Monthly searches for "climbing training app"

4 votes · demand from dataforseo:us, updated 9/28/2026

47
Sep 25
47
Oct 25
47
Nov 25
84
Dec 25
84
Jan 26
66
Feb 26
47
Mar 26
38
Apr 26
47
May 26
38
Jun 26
28
Jul 26
28
Aug 26

Peak 84 · latest 28 · low 28 searches a month

Google reports monthly volume in fixed buckets (…27,100 · 33,100 · 40,500 · 49,500), so steady months land on the exact same number. Weekly data isn't published.

This chart tracks the single lead phrase. The demand score uses the whole cluster of 9 related phrases (170 searches a month), listed below.

Revenue potential

estimate, not a promise

Priced and converted as a prosumer subscription — the funnel below changes with that model, because a freemium consumer app and a B2B tool convert nothing alike.

MRR by month 12

$3 – $16

0–2 paying users · +0–0 new a month at 5% churn

Year-one run rate

$32 – $193

the month-12 number annualised — you earn less than this during the ramp

Price

$9/mo

same price as the business model below

24-month projection

log scale

Month 24 · hover to scrub

Slow build $3Good execution $21Breakout $295

The two solid lines are the range above: a slow build and good execution on a slice of this demand. The dashed line is the breakout — you become the default answer for this problem, take roughly a quarter of the intent, convert far better because people arrive already sold, and churn halves. That's the outcome worth chasing, and it's about $295 a month by month 24 (82 paying users). Most ideas land on the bottom line; the point of the chart is that the ceiling isn't the estimate.

How we got there

  • 170 cluster searches a month, 1.6x for app stores and word of mouth.
  • You reach 1.0-5.9% of that, scaled by ad competition 0.03.
  • 10% of visitors sign up, 12% of those pay. Trial-led: people arrive already shopping, so trial-to-paid runs high.
  • That wins 0-0 new subscribers a month. Stack 12 months of that against 5% monthly churn and you're holding 0-2 paying users by month 12.
  • Price $9/mo, taken from the business model below.

Who already builds this

3 real products · 10 articles, explainers and store pages · scanned daily on Google for "climbing training app"

3 real products own this search. Everything else on page one is a roundup, review post or explainer, listed separately below.

  • Ranks #7 on Google for "climbing training app".

    frictionlabs.co.uk · from live Google results · verified Aug 18

  • Ranks #8 on Google for "rock climbing training app".

    climbingbusinessjournal.com · from live Google results · verified Aug 18

  • Ranks #16 on Google for "rock climbing training app".

    kayaclimb.com · from live Google results · verified Aug 18

Also ranking, but not products (10)

Roundups, review posts, explainers and store pages. They compete for the search, not for the job — they don't count against the competition gap.

Likely business model

willingness to pay 32/100

Prosumer subscription

People are actively shopping for a tool here, so charge from day one.

Price to test · from ad click value

$4–$14/mo

No competitor pricing page was readable, so this band comes from what a click on this intent costs advertisers ($0.00) — a starting price to test, not a proven one.

What to charge for

Trial then subscribe. This crowd is already comparing paid tools, so ask for the card early rather than running a wide free tier.

What this data can't tell you

  • · Nobody's published price backs this band yet — treat the number as a test, and put a price up in week one to find out.

Willingness-to-pay evidence

  • 100% of the 9-keyword cluster is commercial-intent wording (best, app, pricing, alternative).
  • Ad competition 0.03 — few advertisers fighting for it.

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