A Sobering Number
According to publicly available information, there's a widely circulated claim in Taiwan's startup scene: digital product teams have a failure rate exceeding 70% within their first year. If we look deeper into products that merely "appear to be alive," we find an even harsher reality—according to relevant industry reports, products with traffic but monthly revenue below NT$100,000 could represent up to 60%. This isn't a question of the founders' capabilities; it's that the entire ecosystem has a distorted definition of what "success" actually means. Most people focus on user growth metrics, impressions, and platform rankings, completely overlooking the engine that actually makes a product run: conversion and retention.
For example, one company publicly shared that during their product's early launch phase, they invested heavily in digital advertising, achieving 30,000 downloads in a single month—but their 30-day retention rate was only 7%. That translates to fewer than 2,000 users who actually stuck around and kept using the product. At this stage, the team faces a choice: keep pouring money into acquiring traffic, or turn back to examine what's fundamentally wrong with the product itself.
Most new teams choose the former. Because the data "still shows growth," investors ask about user counts, platform algorithms reward download volumes, and the team's confidence rises and falls with the curve. So money keeps burning, traffic keeps buying, and retention problems keep getting shelved. Until one day, they realize the burn rate can't be sustained anymore—and suddenly recognize that the problem was there from the start. They just didn't want to face it.
The Two Critical Numbers Most People Overlook
If you could only look at one metric, most founders would choose "user count." But this choice often plants the seeds of future crisis. What truly determines whether a product can survive comes down to two numbers that are far easier to overlook: first, the 7-day retention rate, and second, the ratio between Customer Acquisition Cost (CAC) and Lifetime Value (LTV).
According to publicly available industry research, the average 7-day retention rate for mobile apps globally sits at around 25%, but in Southeast Asian and Taiwan markets, some categories can drop as low as 15% or even less. This number means: out of every 100 people who download your product, only 15 are still using it a week later. If your monetization model requires users to keep using the product to generate revenue, your actual pool of potential revenue-generating users has shrunk to a mere 15 people from day one.
The second number is even crueler. According to publicly available reports from the e-commerce and SaaS industries, customer acquisition costs in the Taiwan market have been steadily climbing over the past five years, with average CAC in some categories exceeding NT$3,000, while corresponding LTV—without a complete membership system or subscription model—is often less than NT$2,000. Under these conditions, every customer acquired costs the team at least NT$1,000 in losses, and this deficit keeps repeating with every user churn.
This is why "traffic but no revenue" is a pattern we see so frequently. Teams feel exhilarated seeing download numbers, without realizing most of that traffic is composed of economically worthless passersby. To change this situation, we must return to a more fundamental question: what does the product actually solve that keeps users coming back?
Shifting from Traffic Mindset to Retention Mindset
Facing these numbers, some founders have chosen a different path. They stopped chasing download counts and shifted their focus to: How do we get the first thousand users to truly stay? How do we generate our first revenue from this group? How do we discover the product's core value from their feedback?
The specific approach: during the first three months after launch, no paid advertising whatsoever. The team carefully introduces the first batch of users through forums, communities, and private invitations, establishing direct communication channels. These users' feedback flows directly into the product iteration process instead of getting buried in a customer service system. According to publicly documented startup case studies, this approach slows user growth in the short term—but lifts the 7-day retention rate from an average of 15% to over 30%, and these early users' referral rate far exceeds that of paid traffic users.
The key to transformation lies in mindset: stop treating users as "traffic that needs to be purchased" and start treating them as "a source of value that needs to be served." Once this order is reversed, many decisions naturally change—you won't aggressively scale promotion before the product experience is ready, you won't use discounts or subsidies to fabricate demand, and you won't display flattering download numbers on your dashboard while turning a blind eye to the churn rate underneath.
Of course, this doesn't mean abandoning traffic strategies entirely. What it means is ensuring that every instance of traffic coming your way is because the product itself already has the capability to serve them. If the product isn't ready yet, the more traffic you bring in, the more resources you waste—and the negative impressions left by your first batch of users will leave scars across the internet that are nearly impossible to erase.
Systemic Problems Behind the Numbers
When we zoom back to the Taiwan market, we discover a structural challenge: most consumers are still developing their willingness to pay for digital products. According to publicly available consumer surveys, Taiwan users' acceptance of paid downloads or subscription models falls below Hong Kong and Singapore, but above Thailand and Vietnam. This position means products need sufficient differentiation and value perception to convince users to open their wallets.
The problem is, most startup teams at this stage lack sufficient resources to support prolonged market education. They need to identify high-paying target user segments in a short timeframe and demonstrate the product's unique value. This requires not more marketing budget, but more precise user insights and faster experimentation cycles.
Research shows that Taiwan digital product teams take three to six months longer, on average, to reach their first sustainable revenue from MVP compared to teams in Singapore and Hong Kong. This doesn't indicate that Taiwan teams lack capability—it's a difference in market characteristics: more cautious consumers, lower payment penetration, and relatively fragmented traffic channels. These factors combined make the cost of "validating assumptions" higher, and they also make "failing fast" more costly.
Therefore, building digital products in Taiwan shouldn't be measured against Silicon Valley timelines for success or failure. What's needed instead is a longer perspective, more conservative resource planning, and clearer metric definitions. Failure doesn't necessarily stem from the team's problems—it could be misaligned market timing, funding planning, or target user positioning.
What These Lessons Changed
Emerging from the lessons of failure, the biggest transformation is in understanding "data." Data isn't a tool for telling investors "we're growing"; data is a detector for discovering product problems. Seven-day retention rate, session duration, paid conversion rate, customer lifetime value—string these numbers together and they form a product's health map.
If I had to do it all over today, I'd tell myself: don't rush to prove the product has a market. First prove it has value for your first batch of users. Use real retention and payments from a thousand genuine users to earn a direction you can credibly pitch outward. That's far more solid than having 100,000 downloads but not knowing why users came in the first place.
Taiwan's digital product market is still full of opportunity. It's just that this opportunity belongs to teams willing to stay sober in front of the numbers, willing to slow down and build solid foundations—not to those chasing traffic红利 and quick failures.
"True product-market fit isn't about having many people who want your product—it's about having enough people who consistently use it and pay for it."—Eric Ries, The Lean Startup