惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

F
Full Disclosure
博客园 - 三生石上(FineUI控件)
MyScale Blog
MyScale Blog
Apple Machine Learning Research
Apple Machine Learning Research
L
LINUX DO - 最新话题
T
The Blog of Author Tim Ferriss
P
Proofpoint News Feed
宝玉的分享
宝玉的分享
小众软件
小众软件
Hugging Face - Blog
Hugging Face - Blog
GbyAI
GbyAI
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
V
Visual Studio Blog
爱范儿
爱范儿
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
博客园_首页
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
月光博客
月光博客
博客园 - 叶小钗
D
Docker
H
Hackread – Cybersecurity News, Data Breaches, AI and More
T
Tailwind CSS Blog
D
DataBreaches.Net
酷 壳 – CoolShell
酷 壳 – CoolShell
B
Blog RSS Feed
量子位
美团技术团队
Vercel News
Vercel News
Y
Y Combinator Blog
IT之家
IT之家
Martin Fowler
Martin Fowler
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
S
SegmentFault 最新的问题
腾讯CDC
Recent Announcements
Recent Announcements
Google DeepMind News
Google DeepMind News
罗磊的独立博客
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
G
Google Developers Blog
Microsoft Azure Blog
Microsoft Azure Blog
The Register - Security
The Register - Security
博客园 - 司徒正美
N
Netflix TechBlog - Medium
S
Schneier on Security
博客园 - 聂微东
U
Unit 42
D
Darknet – Hacking Tools, Hacker News & Cyber Security
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
雷峰网
雷峰网
Latest news
Latest news

Amplitude

What Makes a Good vs Bad North Star Metric The Role of Feature Management in Successful Product Development Cohort Retention Analysis: Reduce Churn Using Customer Data 7 Steps to Measuring the Success of a Feature 14 Best Product Management Tools for 2026 (Plus Tips from Senior PMs) Putting A Number On AI Quality Meet the Winners of the 2026 Amplitude AI Impact Awards Beyond Last-Touch Attribution: Find Out Which Interactions Really Matter Agent Connectors Are Better Together Agents That Act on What Actually Happened How Square Used Amplitude to Enhance the Seller Experience and Power Growth Migrating Analytics Platforms Without The Chaos Wanted Lab Grows Sign-Ups by 150% & Builds Experimentation Culture How to Balance Inference Cost and User Experience for Agents Introducing Zoning Insights: Web Intelligence at a Glance Five best practices for getting started with AI agents 24 Quarters at #1. Here’s What’s Next. How We Built a Product That Tells Us What To Build Next: Inside Amplitude Wave Looking Beyond Campaign Metrics: 7 Marketing Success Stories AI Evals for Product Managers: A Beginner’s Guide to Getting Started The Builder Skills Library Introducing Agent Connectors in Amplitude Understand How AI Thinks, Get Better Results How We Redesigned Amplitude Docs for Agents and Made Everyone an Author AI Broke Your Experimentation Program. Here’s How to Fix It. Every Stuck User Is a Support Ticket Waiting to Happen Building CLI Agents: It’s What You Don’t Give Them That Counts Three Tips for Better Prompts in Amplitude Global Agent How AI Took the Data Analyst’s Job, and Created a Better One Default Prompts Are Tanking Your Agent’s Retention Optimizing Core Web Vitals with Amplitude’s Global Agent Don’t Ask Global Agent Anything, Ask These Three Things How We Built a Design Agent at Amplitude with Claude Managed Agents and Cloudflare The Problem with Chasing Churn How Hostinger Achieved a 20%+ Conversion Lift Through Experimentation How STAGE Streams Smarter by Putting Data at the Center Building the Validation Stack for AI Product Development Making AI Analytics Safe for Financial Services Teams Amplitude Heatmaps Update: More Reliable Screenshots and Accurate Placement Most Teams Ship Agent Personalities by Accident. We Didn’t. What I Learned Pointing a Ralph Loop at My Product for a Week How Mercado Libre Scales Decision Making with AI Claude Cowork for PMs: 5 Playbooks to Get Started How ACKO Drove 13% More Conversions & 50% Drop in Calls with GenAI Agents Just Made Your Feature Launch Channel Smarter Homegrown FinOps Tools: How AI “Build” Beat “Buy” for Us in <1 Year Introducing The Amplitude Quickstart Series Rebuilding Session Replay’s Delivery Layer to Be Lighter on Your Page The Eval Signal That Predicts 3x Agent Retention Agents Write Code. Fixing It Is Still On You. Amplitude and Statsig Partnership 5 Agent Skills to Automate Your Weekly Product Review Amplitude Plug and Play: New AI Plugin in Claude and Cursor Marketplaces Introducing Amplitude Wizard CLI: Set Up Amplitude from Your Codebase Making AI Search Count (and Convert) How VEED Evolved Its AI Search Strategy What’s New with Amplitude Agents Effortless Support at Scale: Making Human Support More Human AI Week 2026: Upleveling All Together Amplitude AI Builders: Paul Hultgren Chats about AI Assistant Dashboard Dread to AI-Driven Decisions: How Tira Rebuilt Its Analytics Workflow Your Product Deserves a Better Support Agent How Cisco Systems Accelerated Adoption by 20% Through Data Innovation
Tracing the Sale: Connect Behavior to Conversions with Persisted Properties
Dan Carmel · 2026-05-28 · via Amplitude

You can see every search, click, and session a user had before they made a purchase. But answering questions like “Which entry pages drove the most revenue?” still feels harder than it should. The data’s all there, but the connection between specific actions and resulting outcomes isn’t.

With the launch of persisted properties and enhanced session analytics in Amplitude, marketers can easily understand the full purchase journey, from first click to final purchase.

  • Connect engagement to outcomes: See exactly which search terms, product discovery methods, and onsite touchpoints drove critical conversion events like purchases, sign-ups, and subscription renewals.
  • Optimize channels knowing the value of every visit: Understand which traffic sources actually earn their spend by driving sessions and users who convert.
  • Personalize and convert with user and session-level insights: Make sure a VIP gets served the products they’re searching for, and multi-session visitors get reminders to finish their purchase.
  • Give AI agents the signal quality to act: When session behavior, search intent, and purchase outcomes are connected, AI agents have the high-quality signal they need to automatically surface the right insights, trigger relevant messages, and continuously optimize campaigns across channels.

Persisted properties: How context travels throughout user journeys

Persisted properties are a new event property type in Amplitude that retain context over multiple touchpoints as users move through their journeys. A search query, a recommendation click, a UTM parameter—each one can be tied to the specific downstream event it influenced.

Take a shopper who engaged with a seasonal ad campaign, searched a product onsite, clicked a recommendation, and came back a week later to complete the purchase. A lot has happened here, but you should be able to ask your data anything: What was the referring campaign? How much revenue was generated by the carousel of product recommendations? How many sessions did it take to generate the conversion event?

“Amplitude is preparing a feature that may be one of the most important releases for its platform: persisted properties. While Amplitude has mostly been seen as a product analytics tool which specializes in lifetime value, retention, and experimentation, this signals a push into purchase journey analytics.”

David Canji

Senior Solutions Consultant, DMPG, A Havas Company

The use cases extend beyond ecommerce. A SaaS mobile app can retroactively apply context like referral sources if an install event happened earlier in the session. A streaming service can enrich play events with content metadata like genres. Ultimately, persisted properties help you connect engagement with conversion results and business performance.

“With persisted properties, we can understand channel performance more accurately by precisely defining how long channels should be attributed to. This feature automatically prevents disproportionate credit being given to channels, which might not be overwritten for an extended period of time when saved as a user property.”

Florian Götting

Senior Expert Tracking Engineer, Fressnapf

If you’re considering implementing persisted properties in Amplitude, you can get it running in a few minutes. We’ve made it:

  • No-code: A user-friendly interface directly in Amplitude to set persistence logic
  • Customizable: Properties can persist forward or backward within a session or timeframe
  • Flexible: Definitions apply retroactively, so you can test and change configurations in real time, without relying on engineering

Enhanced session analytics: Track visits, not events

Enhanced session analytics makes sessions a first-class metric across Amplitude, usable in data tables, charts, formulas, cohorts, and funnels. Marketers can now answer session-based questions natively, like distinguishing between a user who converts five times in one session versus one who converts five times across ten sessions.

While we designed the user sessions chart to answer session-based behavioral questions, we’ve expanded sessions to be accessible throughout all reporting, filtering, and targeting so that you can get an accurate, realistic view of user behavior.

Here’s how we’re implementing sessions everywhere in Amplitude:

  • Data tables with global column filters: Get the right cut of session data with one click, instead of filtering each column separately.
  • (Live in open beta) New metric explorer chart: Instead of using the segmentation chart for event analysis and the sessions chart for session data, you can now analyze event and session metrics side by side. For example, put total page views and page views per session in a single chart.
  • (Live in open beta) Hybrid formulas: Combine event and session metrics, like add-to-carts per session, sessions per user, or cart abandonment rate.
  • (Beta in Q3) Cohorts: Target users more finely for retargeting or personalization, such as someone who had three sessions without an add-to-cart event.
  • (Beta in Q3) Segment filters: Filter charts with advanced capabilities using events, users, and sessions data.
  • (Beta in Q3) Funnels: Scope the conversion funnel to a session, and measure conversions at the session level (how many visits convert, and at what rate).

Together, these let you measure the visit-level patterns that matter most for journey analysis and optimization.

Out-of-the-box ecommerce analytics: Purchase behavior insights

Persisted properties and session data make it easy to see top sellers, drop-off by funnel step, and search terms that drive online conversions.

Key metrics like product-specific revenue, AOV, and cart drop-off are critical, so there’s no need to build from scratch. The most common reports are now available in a preconfigured ecommerce analytics hub in every Amplitude account:

  • Purchase by product: Your conversion funnel and drop-off, broken down by item, brand, or category
  • Product discovery: How users find products on your website, like discovery methods (on-site search, recommendations, banner, etc.), search term, or UTM campaign

Merchandising and growth teams can easily track ecommerce performance, and then drill deeper with Amplitude’s tables, cohorts, and activation tools.

When data connects, agents can act on it

With Amplitude AI Agents, we’ve gone from manual analysis to fast, proactive, and automated intelligence. But agents are only as good as the data and context they ingest, so implementing persisted properties and session-based reporting connects user behavior and purchase outcomes in a framework that agents can understand.

Amplitude Global Agent and other LLMs can now surface insights based on questions like:

  • “Which search terms drive higher-value purchases: ‘sneakers’ or ‘running shoes’?”
  • “Do product recommendation modules on my website drive revenue?”
  • “What percentage of sessions from paid search end up submitting a lead?”
  • Coming soon: “Find users who’ve had two sessions without viewing a product page and sync them to my Meta campaign.”

These improvements to marketing analytics in Amplitude close the gap between seeing what users did and knowing what made them buy.