to do list app
Should you build a product in this niche? An answer from the numbers: search demand, competitors, napkin economics and what to build first.
Key facts · Needs validation
- TGGET measured 12,100 monthly searches for “to do list app” in the United States in September 2026.
- Search interest grew by 50% over a year.
- 48 competing apps were found in the App Store; 17 of them have more than 10,000 ratings, and the median app has 3,855 ratings.
- 1 of 3 checked search results is weak and 0 are strong.
- A click in paid search costs about $10.10, and competitors in this niche charge for their products.
- TGGET’s verdict is “Needs validation”: a score of +1 on a scale from -6 to +5, with medium confidence.
Updated · How TGGET measures a niche
Verdict · confidence: medium
Possible niche: validate
The to-do list app market is growing (50% YoY) with high search demand, but entry is difficult due to strong incumbent dominance in app stores and expensive paid traffic ($10.1 CPC). While search SERPs show some weak spots, the high customer acquisition cost and saturated app store landscape make this a 'maybe' with medium confidence. Success requires a highly differentiated niche (e.g., ADHD, minimalist) to avoid direct competition with giants like Todoist and Microsoft.
- Demand is high with 12,100 monthly searches and a growing trend.
- Trend is growing with a 0.5 YoY increase and strong seasonality.
- Stores are contested with 17 giants holding 35% of top ratings.
- Search is mixed with only 1 out of 3 checked SERPs being weak.
- Economics are expensive with a $10.1 CPC and low competition index.
- Entry phrase 'best to-do list app' has 3,600 searches but high intent.
How the verdict was reached
| Factor | Value | Level | Score |
|---|---|---|---|
| Demand | 12,100 searches a month | high | +1 |
| Change over a year | +50% over a year | growing | +1 |
| App store | 17 of 48 apps with 10,000+ ratings, median 3,855 ratings | contested | 0 |
| Search results | 1 of 3 checked search results are weak, 0 strong | mixed | 0 |
| Paid traffic | $10.10 a click, people pay in this niche | expensive | -1 |
Sum of scores: +1. The verdict is computed by rules from the numbers of the research; its explanation is written by the model.
Source: TGGET, researched on 29 September 2026.
Entry point: "best to-do list app": 3,600 searches a month, weak search results.
Nearby niches with better odds
- notes app Worth building 60,500 searches a month · Score +3 · same App Store category: Productivity · entry point: “best app for keeping notes”
Catalog pages next to this niche: “worth building” first, then niches that need validation but score higher and already show a weak spot in search. Demand is measured in the United States.
1. What product to build
Positioning
A distraction-free, fair-pricing to-do list app designed for neurodivergent users and minimalists who reject aggressive monetization and complex interfaces.
For whom:
Main job: Help users capture, organize, and complete tasks without cognitive overload or financial surprise.
Platform
IOS+ANDROID
- High demand for 'to do list app android' and 'iphone' variants.
- Competitors like Microsoft and Todoist are cross-platform.
- App store data shows 48 apps, indicating strong mobile usage.
Monetization: Freemium with one-time purchase or fair subscription · Competitors use paid models (Todoist, Any.do) and free tiers. Complaints suggest users hate aggressive subscriptions.
Customer pains
1App is difficult to navigate, harasses with notifications, and makes it impossible to turn off alarms. strong
Evidence: Complaints from Me+ Lifestyle Routine (1 star), citing navigation issues and notification harassment.
What the product does: Clean, intuitive UI with customizable, non-intrusive notification settings.
2Hidden costs and aggressive upsells during free trials, leading to unexpected charges. strong
Evidence: Multiple complaints about 'Free Trial' traps and immediate charges after cancellation.
What the product does: Transparent pricing model with clear free tier limits and easy cancellation.
3App becomes bloated, slow, and glitchy over time, losing productivity value. medium
Evidence: Microsoft To Do complaints about slowness, glitches, and UX misses.
What the product does: Lightweight architecture focused on speed and stability, avoiding feature bloat.
4Standard apps lack features for ADHD users, such as gamification or low-friction input. strong
Evidence: Informational queries for 'best to-do list app for adhd' indicate unmet needs.
What the product does: Built-in ADHD-friendly features like timeboxing, visual cues, and simple input methods.
How to differ · MVP scope
Part of the full plan.
Competitor matrix
| Competitor | Type | Pricing | App | Score |
|---|---|---|---|---|
| todoist.com Todoist: список дел для организации работы и жизни | SaaS | yes | no | — |
| any.do A simple to do list for you and your team | SaaS | yes | yes | — |
| ticktick.com TickTick: Списки дел, задания и планирование в одном приложении для Android, iPhone и Web | SaaS | yes | no | — |
| Cozi Family Organizer Cozi | App Store | free | yes | 4.8 · 399,765 |
| Microsoft To Do Microsoft Corporation | App Store | free | yes | 4.7 · 267,773 |
The first 5 of 8 competitors.
The full plan is free with an account
Create a free account to see how to stand out, the MVP, every competitor, the economics, the SEO and ASO plans, names with free domains, a landing page draft, channels, validation steps and risks.
2. Napkin economics
Part of the full plan.
3. How to do SEO for the site
Keyword clusters
Product · 17 · 28,490
to do list app (12,100) · to do list mobile app (12,100) · to do list app android (320) · to do list app on mac (480) · digital to do list app (720) · to do list app for iphone (390)
Commercial · 1 · 720
free to-do list app (720)
Comparisons · 18 · 6,270
best to-do list app (3,600) · best to-do list app iphone (720) · best to do list app mac (390) · best to-do list app free (390) · best to-do list app android (320) · best free to-do list app for iphone (110)
Site structure and meta tags · Content plan
Part of the full plan.
4. How to do ASO for the app pages
Part of the full plan.
5. Name options
Part of the full plan.
6. Landing page draft
Part of the full plan.
7. Distribution channels
Part of the full plan.
8. How to validate before building
Part of the full plan.
9. Risks
Part of the full plan.
The report was written by a language model from the collected research data and may be inaccurate; each recommendation cites its source, verify it against the raw data. Generated 2026-09-29T09:16:39+00:00.
Data: search demand, search results, the App Store, public-interest and developer community signals. The verdict is computed by rules from these numbers; the explanation and the plan are written by a language model. Both are evidence to check, not a promise.
Questions about this niche
Is “to do list app” a good idea for a new product?
There is demand, but not everything is in its favour. TGGET scored “to do list app” +1 on a scale from -6 to +5. In its favour: demand is high, interest is growing. Against it: paid traffic is expensive. The verdict is “Needs validation”.
How many people search for “to do list app”?
TGGET measured 12,100 monthly searches for “to do list app” in the United States in September 2026. Search interest grew by 50% over a year.
How strong is the competition for “to do list app”?
1 of 3 checked search results is weak and 0 are strong. 48 competing apps were found in the App Store; 17 of them have more than 10,000 ratings, and the median app has 3,855 ratings.
How much does a click cost for “to do list app”?
A click in paid search costs about $10.10, and competitors in this niche charge for their products.
What is the way into this niche?
Through “best to-do list app”: 3,600 searches a month and weak search results.
How was this verdict reached?
TGGET computes the verdict by rules from five measured factors: demand, its change over a year, competition in the app stores, the strength of the search results and the cost of paid traffic. Each factor adds or takes away points and the sum decides, so the same numbers always give the same answer. A language model writes the explanation and the plan; it does not choose the verdict.
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