03
Where to play: the 2026 market map
Install rate and App Pulse split the market into four positions. Finance leads on both, and every other category has headroom.
This chapter maps reach against quality by comparing install rate with the App Pulse Score. The two move independently: the most-installed apps and the most-loved apps are not the same set. The gap between them divides the market into four positions. One caveat: scores reflect user perception, which shifts across markets, categories, and public discourse. Read every chart with that lens in mind.
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Install rate and App Pulse split the market into four positions
Vulnerable Incumbents
Used, not loved. Facebook is the clearest example: high install rate but low App Pulse Score, the widest reach-to-love gap among the household-name apps. Utility and network effect hold the install base. Affection does not follow. At this scale, the leader is part of the product. A user who does not share the leader’s politics still refuses goodwill to the company shipping it, and uses the app anyway. The reach for products in this segment is real, but undefended. A better product can erode the position.
Underdogs
Affection without distribution. The pattern inverts: low install, high Pulse. The users who find them rate them among the highest on the phone. The product is doing its job. Distribution is the next investment.
Marginals
Low on both. Real but quiet work in narrow niches. The first move is the same as everywhere else: find the lowest driver score and close it.
Operational prompt: Decide whether your next move is distribution, experience quality, or product depth.
The vulnerability map: install rate and App Pulse
Median install 12%, median Pulse 3.88. Quadrants: Vulnerable 160, Underdog 160, Fortress 152, Marginal 151.
Quadrant split at the median install rate and median App Pulse Score. Scale and sentiment plotted independently.
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Which quadrant does your product compete from today, and what would it take to move?
Finance is in a league of its own
The Finance lead is a Banking lead. Payments sits below, anchored by Swish and MobilePay. Insurance lags both, closer to the broader market than to Banking. At the other end of the ranking, sub-categories like Parking, Telecom, and Restaurant ordering carry the widest open ground.
Banking’s lead was earned under pressure no other category has faced yet. Two decades of neobank competition and tight data regulation forced banks to invest in trust and feature completeness before the rest of the market.
Inside Finance itself, two groups pull in different directions. Neobanks lead on innovation and pull NPS upward (Lunar, Knab). Traditional banks anchor the lead on trust and feature completeness (Sydbank, Rabobank). A product team in Finance should know which of the two their product belongs to, because the next investment differs by group.
Share of apps at Pulse 4.0 or above, by category
Longer bars indicate more apps clearing the Pulse 4.0 threshold. Each app is measured per market.
Share of significant apps in each category with Pulse score at 4.0 or above.
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Where is your category's strongest player, and what did it take to get there?
The good-enough trap lives inside specific sub-categories
Six sub-categories carry no app above Pulse 4.0
The lowest-scoring include Car and Parking, Shopping and B2C Marketplace, and Food and Drinks and Restaurant and Fast Food. The strongest apps in each have not cleared it either.
Car and Parking
OK in Denmark is the strongest car app in the study and sits below 4.0.
Shopping and B2C Marketplace
Amazon leads B2C Marketplace at 3.77
Food & Drinks and Restaurant & Fast Food
Joe and the Juice in Sweden tops Restaurant and Fast Food at 3.91.
Lowest-scoring sub-categories in Food & Drinks, Car, and Shopping
Car × Parking is the lowest-scoring sub-category of any size in the study pool.
Sub-category median Pulse and share of apps at Pulse 4.0 or above. Sub-categories with fewer than 5 products are excluded for reliability.
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Has your sub-category already set the standard, or is it still open?
Each market rewards a different category
Reading a weak score as an opportunity is the easy mistake. The cause is structural: entrenched payment infrastructure like Swish in Sweden or MobilePay in Denmark leaves little oxygen for new entrants, consolidated operator markets reduce competition, local data norms slow rollouts.
The map measures apps users use at scale. A weak score does not mean no competition exists; it means no app has crossed the visibility threshold to anchor expectations. The first product to cross it becomes the standard-bearer.
Each market judges the same product on a different scale. A Danish Finance user has seen the category at its best; a Dutch Finance user has seen less of it. Launching where the strongest version of the category exists gives you a fast signal on whether your product competes.
For a product team planning a multi-market rollout, the order matters. Launch where the category is strongest first if you want competitive proof; launch elsewhere if you want to claim the standard before competition arrives.
Where each category reaches excellence
DK = Denmark, NL = Netherlands, SE = Sweden. Values are percent of significant apps clearing Pulse 4.0.
Per (category, market) share of significant apps scoring Pulse 4.0 or above. Darker green = a larger share of that category's apps in that market clear excellence.
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Are you entering the market that tests you, or the one you can define?
Personalization and innovation are the universal whitespace
Personalization
Innovation
AI makes personalization more important. Assistants are personalization engines: users who try ChatGPT or Claude experience tailored responses without asking. Once that experience becomes routine, users will expect it from every product. The first product to ship useful personalization, the kind that deepens the experience or makes the product smarter on the user’s job, will define what users learn to expect from the rest of the category. Branding existing features as AI does not count.
Users do not ask for what assistants are training them to expect. Building personalization now prepares for the demand that arrives once users have seen better.
Driver and category: where the market is weakest
Finance owns 7 of the 10 strongest cells in the matrix; no category leads on personalization or innovation.
Weighted average score per (category × driver statement). Scale 1 to 5. Uses the eleven validated driver statements in the model.
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What could your product personalize before users know to ask?
Every generation values a different top 5
The market map is not the same map for every user. Rank apps by Pulse inside each generation and the lists diverge. The chart shows the top five products per generation; the cross-generational read is what matters here.
What “essential” means is shifting by generation. Gen Z values AI assistants, streaming, and smart home alongside the basics. The apps your users open elsewhere train what they expect from you.
Two questions sit before every roadmap call:
Who is this product for?
What else are they using on the same phone?
Top 5 most-loved apps by generation
Gen Z is the only segment whose most-loved apps include AI, streaming, and smart home, rather than banks.
Pulse score per app, per age group. Top 5 products per generation, minimum 20 respondents.
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Which generation is your product designed for, and which is using it?
What this means
Finding
Install rate and App Pulse split the market into four positions. Finance leads on both, and every other category has headroom.
Evidence
59 percent of Finance apps clear Pulse 4.0. Food and Drinks sits at 7 percent, Car at 9 percent. Each category has leaders to learn from.
Implication
Knowing the quadrant sharpens the next product bet: deepen the moat, claim the open ground, or widen reach.
What we did not expect
We had a feeling going in. A product can be on every phone because users have no real alternative; they have learned it, not chosen it. We wanted to see whether installs in the data tracked actual affection. They do not. Distribution and product-market fit are not the same metric. The most-installed apps and the most-loved apps are largely different sets, and Finance is the only category where most products clear both bars.