← Idea market
Shopping200 searches / mo

Local deal alerts

Price drops on things you already want.

Opportunity score

3,134 / 10k

Niche, but buildable. Small audience, low noise.

Rank

#163

Gap

A

  • Demand

    0

    200 contestable searches a month across 5 related keywords.

  • Momentum

    44

    Last three months ran down 7.0% against the three before, seasonality smoothed out.

  • Competition gap

    63

    15 real products rank on page one for this, ad competition 0.23.

  • Crowd

    n/a

    Only 2 rankings so far, not counted until 5.

  • Willingness to pay

    31

    Advertisers pay $1.10 a click for this search — almost nobody pays to reach these searchers.

What this score is based on

evidence checked 9/30/2026

  • Search demand verified against Google Ads data
  • 12 months of search history
  • 5 related keywords clustered
  • No firsthand pain signals collected yet
  • 15 competitors analyzed from page-one results
  • 2 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

5 keywords · 200 searches a month combined

Demand counts the whole cluster: 200 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.
local deals appwants a tool140$0.690.06
local discount appwants a tool30$0.310.07
local bargain finderunclear10$3.380.05
local deal finderunclear10-0.00
local steals and deals appwants a tool10--

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

People actively seek a dedicated tool to find price drops on desired items from local retailers, currently relying on general search engines that lack real-time or aggregated local deal information. This leads to missed savings and the frustration of repeated manual searches for specific items that may or may not be discounted.

Who experiences it
Someone looking to buy an item locally at a reduced price.
When it happens
They see an item they want to purchase and wonder if it's available for less money nearby.
How often
This happens whenever they are considering a purchase, or actively searching for 'local deals app' (140/mo).
What they do today
They perform manual searches using terms like 'local discount app' (30/mo) or 'local bargain finder' (10/mo), which requires active effort and often yields no consolidated results.

Read off 5 search phrases, 9/26/2026.

Why now

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

  • Searches are down 70% year over year

    169 a month twelve months ago → 50 now for "local deals app".

  • Cooling 7% over the last quarter

    Last three months of searches against the three before them.

  • Peaks in March

    Demand swings 536% across the year, so ship roughly two months before March.

  • Advertisers pay $1.10 a click here

    Buying this intent instead of ranking for it would run roughly $66 a month — money is already chasing these searches.

  • 6 real products on page one

    Alongside 9 articles and reference pages, which is room a focused tool can take.

Search data

verified · dataforseo:us · refreshed 9/30/2026

Lead keyword
local deals app
Cluster volume
200 / mo
across 5 related keywords; lead phrase is 140 / mo
CPC
$1.10
what an advertiser pays for one click here
Ad competition
0.23
0-1 scale: barely any advertisers bidding

Opportunity score 3,134 = 40% contestable search demand (200 a month across 5 keywords) + 25% how open the competition still is (15 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 ($1.10 a click) + 10% crowd rankings (Elo 1486, 2 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 "local deals app"

2 votes · demand from dataforseo:us, updated 9/30/2026

169
Sep 25
89
Oct 25
70
Nov 25
70
Dec 25
139
Jan 26
318
Feb 26
169
Mar 26
89
Apr 26
169
May 26
258
Jun 26
89
Jul 26
50
Aug 26

Peak 318 · latest 50 · low 50 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 5 related phrases (200 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 – $20

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

Year-one run rate

$38 – $237

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

Price

$10/mo

same price as the business model below

24-month projection

log scale

Month 24 · hover to scrub

Slow build $4Good execution $26Breakout $385

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 $385 a month by month 24 (96 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

  • 200 cluster searches a month, 1.6x for app stores and word of mouth.
  • You reach 0.9-5.6% of that, scaled by ad competition 0.23.
  • 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 $10/mo, taken from the business model below.

Who already builds this

6 real products · 9 articles, explainers and store pages · scanned daily on Google for "local deals app"

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

  • #7Techcrunch

    Ranks #7 on Google for "local deals app".

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

  • #7Tripadvisor

    Ranks #7 on Google for "local discount app".

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

  • #11Findmydeals

    Ranks #11 on Google for "local deals app".

    findmydeals.app · from live Google results · verified Aug 18

  • #14Froogleapp

    Ranks #14 on Google for "local deals app".

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

  • #15Localadvantage

    Ranks #15 on Google for "local discount app".

    localadvantage.com.au · from live Google results · verified Aug 18

  • #18Lemon8 App

    Ranks #18 on Google for "local discount app".

    lemon8-app.com · from live Google results · verified Aug 18

Also ranking, but not products (9)

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 37/100

Prosumer subscription

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

Price to test · from ad click value

$4–$16/mo

No competitor pricing page was readable, so this band comes from what a click on this intent costs advertisers ($1.10) — 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

  • Advertisers pay $1.10 a click for this intent — real money already chases it.
  • 60% of the 5-keyword cluster is commercial-intent wording (best, app, pricing, alternative).
  • Ad competition 0.23 — few advertisers fighting for it.

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