# Tracing the Sale: Connect Behavior to Conversions with Persisted Properties

Learn how Amplitude’s persisted properties and session analytics help marketing and growth teams connect behavioral data to purchase outcomes without engineering support.

Source: https://amplitude.com/en-us/blog/tracing-the-sale-persisted-properties

---

[Dan Carmel](/blog/author/dan-carmel)

[Principal Product Manager, Amplitude](/blog/author/dan-carmel)

[](https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Famplitude.com%2Fblog%2F%2Fblog%2Ftracing-the-sale-persisted-properties)[](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Famplitude.com%2Fblog%2F%2Fblog%2Ftracing-the-sale-persisted-properties)[](https://twitter.com/intent/tweet?url=https%3A%2F%2Famplitude.com%2Fblog%2F%2Fblog%2Ftracing-the-sale-persisted-properties\&text=Tracing%20the%20Sale%3A%20Connect%20Behavior%20to%20Conversions%20with%20Persisted%20Properties)[](mailto:?subject=Checkout%20this%20Amplitude%20Article\&body=Check%20this%20out%3A%20https%3A%2F%2Famplitude.com%2Fblog%2F%2Fblog%2Ftracing-the-sale-persisted-properties)

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](https://academy.amplitude.com/an-introduction-to-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:&#x20;**&#x53;ee 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:&#x20;**&#x57;hen 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:&#x20;**&#x41; user-friendly interface directly in Amplitude to set persistence logic
- **Customizable:&#x20;**&#x50;roperties 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](https://amplitude.com/docs/analytics/charts/user-sessions/user-sessions-track-engagement-frequency) 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:&#x20;**&#x49;nstead of using the segmentation chart for event analysis and the sessions chart for session data, you can no&#x77;**&#x20;**&#x61;nalyze 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:&#x20;**&#x43;ombine event and session metrics, like add-to-carts per session, sessions per user, or cart abandonment rate.
- **(Beta in Q3) Cohorts:&#x20;**&#x54;arget 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 by landing page, session duration, traffic source, and event count within a session.
- **(Beta in Q3) Funnels:&#x20;**&#x53;cope 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](https://amplitude.com/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:&#x20;*“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.

**Interested in learning more?&#x20;**[Register to join us for a live webinar](http://amplitude.com/events/tracing-the-sale-jun-2026) on June 11, including a demo and Q\&A, or check out this on-demand [Academy course](https://academy.amplitude.com/unlock-purchase-insights-with-session-data).

About the author

Dan Carmel

Principal Product Manager, Amplitude

[More from ](/blog/author/dan-carmel)

<!-- -->

[Dan](/blog/author/dan-carmel)

Dan Carmel is a Principal Product Manager at Amplitude, where he builds GTM and analytics products for the AI era—tools that make hard calls simple. Previously, he led Product at Infinigrow, an AI marketing analytics company, which was acquired by Amplitude in 2026.

Topics

[Ecommerce](/blog/tag/ecommerce)

[Marketing Analytics](/blog/tag/marketing-analytics)

[Product Releases](/blog/tag/product-releases)

#### Recommended Reading

[Read ](/blog/building-cli-agents)

[Insights](/blog/building-cli-agents)

###### [Building CLI Agents: It’s What You Don’t Give Them That Counts](/blog/building-cli-agents)

[May 27, 2026](/blog/building-cli-agents)

[6 min read](/blog/building-cli-agents)

[Read ](/blog/three-prompting-tips-AI)

[Insights](/blog/three-prompting-tips-AI)

###### [Three Tips for Better Prompts in Amplitude Global Agent](/blog/three-prompting-tips-AI)

[May 26, 2026](/blog/three-prompting-tips-AI)

[9 min read](/blog/three-prompting-tips-AI)

[Read ](/blog/ai-took-data-analyst-job-better)

[Customers](/blog/ai-took-data-analyst-job-better)

###### [How AI Took the Data Analyst’s Job, and Created a Better One](/blog/ai-took-data-analyst-job-better)

[May 22, 2026](/blog/ai-took-data-analyst-job-better)

[8 min read](/blog/ai-took-data-analyst-job-better)

[Read ](/blog/default-prompts-agent-retention)

[Insights](/blog/default-prompts-agent-retention)

###### [Default Prompts Are Tanking Your Agent’s Retention](/blog/default-prompts-agent-retention)

[May 21, 2026](/blog/default-prompts-agent-retention)

[6 min read](/blog/default-prompts-agent-retention)
