# First-Seen Behavior Filters, Transaction Frequency, and SDK Updates

> Insights to help you learn, build, and scale onchain.

URL: https://paragraph.com/@getformo/first-seen-behavior-filters-transaction-frequency-and-sdk-updates
Author: Onchain Growth Insights by Formo
Published: May 31, 2026
Categories: defi, web3

June 1, 2026
gm, builders!  Here’s your roundup of this week's onchain insights.
Highlights:
Behavior Filters Based on First-Seen

Transaction Frequency Chart

Query Parameter Redaction

Sticky Referrer Tracking

Reading List

Behavior Filters Based on First-Seen
Behavior filters now support First-seen relative time windows to make targeting much more precise.
Until now, behavior filters were limited to rolling windows ("did X in the last N days").
You can now anchor windows to each user's first-seen timestamp, so you can ask questions like:
Users who visited the Trading Competition page within 2 hours of their first session (attribute engagement directly to the campaign that brought them in).

Users who connected a wallet, deposited, and clicked "Enroll" within their first 24 hours (first-day activation funnel).

Users who came back to transact more than 7 days after first-seen (true returning users vs. same-session conversions).

Together these mean better attribution to specific campaigns, sharper onboarding activation analysis, and more targeted segments.
Transaction Frequency Chart
A new transaction frequency chart on the Users page show you how often your users transact.
View the distribution of transaction counts per wallet to distinguish one-time users from power users, spot drop-off between first and second transactions, and target wallets by activity tier.
Query Parameter Redaction
You can now strip sensitive query parameters before events are stored or sent.
Pass a list of query parameter names and the SDK redacts matching keys (case-insensitive) from event properties.
Sticky Referrer Tracking
The Web SDK now keeps first-touch referrer sticky across an entire session, so internal navigation no longer overwrites the source that brought a user in.
This means cleaner channel reports, more accurate first-touch attribution, and no more "self-referral" noise from internal page-to-page navigation.
Learn more
Reading List
The RWA Stack: Why Tokenization Starts With Boring Finance by ether.fi Ventures. Link

Who Makes Money from Agents? by Jonah Burian. Link

From Speculation to Habit: What Web3 Apps Can Learn From Fintech Retention by Stacy Muur. Link