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 these To find out, we surveyed product professionals around the world to understand how data is 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 teams 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: •Only 45.1%of respondents work with adedicated product analytics team – •72.5%of teams say product analyticsvisibly helped them hit key goals in the •Retentionhas overtaken revenue as the #1 •90.2%of teams segment their productdata, most commonly by persona. •Only15.7%of teams use customerfeedback as a primary data source – •37.3%plan to invest further in analytics •Trackingremains the most-used analyticscapability, used by nearly half of all teams. Meet ourcontributors Parul JainPrincipal Product Manager atWalmart Global Tech Linkedin Gaby PaulPrincipal/Group Product Manager at Sedex Linkedin Cindy CamachoFounder of VOC Strategies 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 how This section outlines key demographic information such as country,industry, and product type. Country Who took part 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 BulgariaNetherlands Who took part 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% Growth stage Who took part 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 working Who took part 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%). 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. Exactly how importantis product analytics? In this section, we explore the significance of product analytics inenhancing product performance and addressing user needs. Including How importantis product Key data sources for PMs Crucial to any product analytics program are the sources of data themselves. So, which sources do Our respondents say product usage data(37.3%)and data from internal teams(37.3%)are the keysources they rely on. This implies a strong emphasis on quantitative metrics and cross-functional However, customer feedback is notably low at only15.7%which is down5.3%points since last year.This suggests customer feedback is being prioritized less by product teams. In contrast, competitive How importantis product The goal of product analytics According to our data, retention is the most common goal of product analytics, with39.2%inagreement, emphasizing the importance of user retention in increasing customer lifetime value and This result is a change-up from last year, where the main goal of analytics was revenue, followed byretention. Both have seen an increase in their importance this year, but retention