Crypto’s product range and infrastructure have expanded, but launching a wallet, payment feature or blockchain network is not the same as giving people a reason to return. The central challenge is turning first-time or incentive-driven activity into useful repeat behavior—and measuring that behavior without confusing owners, accounts, addresses and retained customers.
Crypto ownership is much larger than estimated active use
a16z crypto’s 2025 report estimated that 716 million people owned crypto, while estimating 40 million to 70 million active crypto users. Those are separate estimates, not a measured conversion funnel: ownership does not establish how often someone uses a product, and the active-user figure is the report’s own estimate based on its analysis and updated methodology. a16z crypto’s 2025 report
The same report estimated 181 million monthly active onchain addresses, down 18% year over year, and said crypto mobile wallet users were up 20% year over year. Neither statistic is a count of unique people returning to a particular product. One person can control multiple addresses, and an address’s activity does not show whether its user came back after a defined period.
Incentives can acquire users without proving they will stay
Rewards, points and token distributions can give people a reason to try a product. The harder question is whether they continue when the reward changes or ends. The Block’s 2026 digital-assets outlook says usage on most new Layer 2 networks fell after incentive cycles. That is evidence of a post-incentive challenge, not proof that every new network lost its users or that incentives alone caused the declines. The public findings do not provide a common cohort method for comparing these networks. The Block’s 2026 digital-assets outlook
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In an Onchain Research survey of 1,005 people already using Web3, 37.08% named financial incentives as their primary motivation for using Web3 apps. The result describes that surveyed group, not all crypto owners or the public at large; it also does not establish what those people did after incentives ended. Onchain Research argues that applications need utility beyond token-price appreciation, but that argument is an interpretation of survey and other evidence, not a controlled test of what causes retention. Onchain Research’s consumer-app findings
Repeat use depends on more than a new feature
Make the recurring job clear
A trading feature may be valuable to someone who trades; it is not automatically a reason for a less active customer to open an app again. Payments, transfers, staking, stablecoin holdings and loyalty programs address different needs and usage rhythms. Onchain Research identifies payment apps as a leading consumer category and reports that 25.91% of surveyed Web3 app users said they regularly used crypto payment apps. That is a survey finding from a Web3-engaged sample, not a measure of the share of the general population paying with crypto.
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The same report discusses blockchain-enabled restaurant loyalty as a practical use case. Its summary cites retention rates of up to 70% for practical-reward blockchain loyalty programs, but does not establish the programs, cohort period, denominator or comparison method behind that figure. It should not be treated as a benchmark for crypto apps generally. Onchain Research’s consumer-app research
Remove friction and earn trust
Onchain Research identifies wallet setup, private-key management and unpredictable transaction fees as obstacles to consumer-app use, alongside trust and the need for sustained utility. These are especially important when a product asks someone to make a payment or hold value, rather than merely browse. The survey respondents were already Web3-engaged, and the report notes geographic and long-term viability limits; its results cannot establish exactly how mainstream newcomers will respond.
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Reach users where they already are
Technical differentiation is only one route to adoption. The Block highlights distribution and partnerships in Layer 2 growth, while practical integrations can place a crypto feature inside an existing payment or consumer experience. Access can help a product earn a first try, but it does not show that people find it useful enough to return.
Company activity figures show scale, not cohort retention
Coinbase reported 9.2 million average monthly transacting users (MTUs) in 2025, up from 8.4 million in 2024, and attributed the increase primarily to users participating in rewards, holding USDC or staking assets. Coinbase defines an MTU using a rolling 28-day period and includes certain passive transactions; it cautions that the measure may overstate unique consumers. The figures therefore describe the company’s defined activity measure, not the percentage of a new-user cohort that remained active over time. Coinbase’s 2025 Form 10-K
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Coinbase’s shareholder letter describes 2026 priorities that include an Everything Exchange, stablecoin and payments infrastructure, DeFi integrations and an expanded Base App. These are a company’s strategic choices, not evidence that adding more products by itself improves retention. Coinbase’s shareholder letter
Binance’s 2025 year-in-review reported 300 million registered users, 30% year-over-year growth in Binance Pay users and acceptance at more than 20 million merchants. These company-reported scale and growth figures do not define repeat-use cohorts or establish retention. Binance’s 2025 year-in-review
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Separate activity, adoption and retention when judging progress
Crypto reports use measures that answer different questions. Treating them as one growth curve can make it seem as though a platform has retained users when the published metric only shows ownership, registrations or activity in a given period.
| Measure | What it can indicate | What it does not establish by itself |
|---|---|---|
| Ownership estimate | How many people a source estimates own crypto | Whether they use a specific product, or how often |
| Registered accounts | Accounts created on a service | Whether an account represents a unique person or is still used |
| Active addresses or wallets | Onchain activity under the source’s definition | Unique people, continued use by a cohort or customer retention |
| Monthly transacting users | Activity meeting a company’s stated time-window and transaction rules | A cohort retention rate; definitions may include passive activity or count users in ways that do not equal unique consumers |
| Cohort retention | Whether a defined group returns or remains active over a stated period, under a stated activity definition | Why users stayed or left, unless paired with further evidence |
DappRadar’s 2024 industry report recorded 24.6 million average daily unique active wallets by year-end. It also reported a 19% year-over-year decline in NFT trading volume and $1.3 billion in hack and exploit losses during 2024. Wallet activity, market trading and security losses give context to the ecosystem, but none directly measures retained customers. DappRadar’s 2024 industry report
What a stronger retention claim would need to show
A credible claim that a product keeps users should identify the product and user group, define what counts as meaningful activity, and say when that activity was measured. It should distinguish organic return visits from actions tied to rewards, and show how results change when incentives or product conditions change. Without those details, growth in accounts, addresses or transactions may be a sign of reach or activity, but not proof of durable use.
The available findings support a real industry tension: crypto has more infrastructure and product categories, while some activity appears tied to incentives and practical barriers remain. They do not establish a universal retention rate, rank product strategies by causal effect, or show that any single feature reliably keeps users. For personal-finance readers, the practical distinction is simple: a product’s launch, user count or reward offer is not the same as evidence that people find it useful over time.
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