2025年产品分析行业状况报告

2 0 2 5 Created by: Contents 35112028354351IntroductionSection 1: Who took part?Section 2: Exactly how important is product analytics?Section 3: Who owns product analytics?Section 4: Which metrics matter most?Section 5: Where does customer feedback fit into this?Section 6: Which tools are best?Conclusion Introduction Product analytics gives product managers the ability to make smarter, more informeddecisions that influence a product’s direction. But how are teams actually using theseanalytics in practice? And which metrics are proving most useful? To find out, we surveyed product professionals around the world to understand how data isbeing used in day-to-day product work. This report explores the tools teams depend on, the goals analytics help them achieve, andthe metrics that guide key decisions – ultimately showing how data is helping product teamsbuild better products and user experiences. Key findings We know life is busy, so here are the highlights. If you don’t have time to read the full report yet, here are some quick statistics to give you anidea of what’s inside: •72.5%of teams say product analyticsvisibly helped them hit key goals in thepast 12–18 months.•Retentionhas overtaken revenue as the #1goal of product analytics this year.•Only15.7%of teams use customerfeedback as a primary data source –despite49%relying on it to decide what tobuild next. •Only 45.1%of respondents work with adedicated product analytics team –though adoption is rising. •90.2%of teams segment their productdata, most commonly by persona.•37.3%plan to invest further in analyticssoftware in the near term.•Trackingremains the most-used analyticscapability, used by nearly half of all teams. Meet ourcontributors Parul Jain Principal Product Manager atWalmart Global Tech Linkedin Gaby Paul Principal/Group Product Manager at Sedex Linkedin Linkedin Who took partSection 1 Before we dive into the key data surrounding product analytics, it’suseful to understand the context behind our data to understand howsimilar (or different) your situation is to those in our dataset. This section outlines key demographic information such as country,industry, and product type. Who took part Country Firstly, we examined the global distribution of our respondents.29%of respondents hail from theUnited States, closely followed by those located in the United Kingdom(21.6%). This points to the US’s continued dominance in the tech industry and its key role in product innovationglobally, and of course, the growing importance of the UK’s fintech and SaaS hub in the capital. Interestingly, Germany is third on this list, mirroring Berlin’s increasing position as a tech hub withinEurope and in the global marketplace. Other respondents BulgariaNetherlandsTurkeyIsraelCzech RepublicUnited Arab EmiratesSwitzerlandPakistanGreeceSingaporeAustralia Who took part Industry Next, we looked at which industries our respondents currently work in. The majority of respondentswork within either financial services(19.6%), retail/ecommerce(17.6%), or professional services(13.7%). Financial ServicesRetail/eCommerceProfessional ServicesMedia, Creative IndustriesHealthcareData Infrastructure, TelecomIndustrialsHospitality, Food, Leisure TravelEducationPublic Service, Social ServiceTransport, LogisticsAgriculture, Forestry, MiningEnergy, Utilities19.6%17.6%13.7%11.8%5.9%5.9%5.9%3.9%3.9%3.9%3.9%2%2% Who took part Growth stage We all know how varied product management and analytics can be at different growth stages andmaturity, so we asked participants to share which stage their company is at. Most of our respondents work in well-established orgs or market leaders(37.3%), followed by thosein mid-growth with established GTM teams(33.3%). So, this is worth keeping in mind if you’re workingon an earlier-stage product. Who took part Product type and customers served The type of product and customers an org focuses on also influences the product strategy, so weasked respondents which type of product they work on and who their customers are. The majority of respondents work on a SaaS product(64.7%)and target B2B customers(58.8%). Product Type A physical product Customers served Who took part Seniority Finally, we looked at the seniority split of our respondents. A third of respondents are Head of or VP ofProduct, followed by29.4%who are Senior Product Managers. Section 2 Exactly how importantis product analytics? In this section, we explore the significance of product analytics inenhancing product performance and addressing user needs. Includingthe most popular data sources, the common goals of analytics, andhow impactful these data sources were. How importantis productanalytics? Key data sources for PMs Crucial to any product analytics program are the sources of data themselves. So, which sources doproduct managers think are most important when making decisions? Our respondents say product usage data(37.3%)and data from internal teams