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Which partnerships actually drive traffic?

Stop guessing which integration logo is pulling weight.

Business insightStrategyOn-demand, plus quarterly auto-refresh.
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Free to startNo credit card requiredUpdated Apr 2026

You'd think this needs a manual UTM audit and three vendor calls — Astra ranks every partner by real traffic and revenue in one Lark message.

The short answer

Astra answers "which partnerships actually drive traffic" by joining GA4 referral data, UTM-tagged sessions, and your partner contract list, then ranking each partner by sessions, signups, and downstream Stripe revenue over the last 90 days. She pulls referral source from GA4, cross-references it against the partner roster you keep in Notion or a Google Sheet, and tags each row with what you're paying (or trading) for the relationship. The output is a Lark table with three buckets: keepers (positive ROI), watch list (zero traffic but recent), and kill list (90+ days of nothing). She also flags the 1-2 partners where traffic is real but conversion is broken — usually a busted UTM or a landing page mismatch you can fix in an afternoon. You stop renewing dead deals and double down on the ones working.

How Astra actually does it

  1. 1
    Pull referral and UTM data

    GA4 traffic by source/medium for last 90 days, filtered to known partner domains and UTM campaigns.

    GA4
  2. 2
    Join with partner roster

    Read your Notion partner database or Google Sheet, match each partner to its referral source, flag partners with no tagged source as missing UTM.

    Notion
  3. 3
    Attribute revenue downstream

    Match GA4 sessions to Stripe customers via client_id, calculate revenue per partner over 90 days.

    StripeGA4
  4. 4
    Rank into keep / watch / kill buckets

    Keepers: positive ROI vs cost. Watch: <30 days old, give it time. Kill: 90+ days, zero signups, time to deprecate.

  5. 5
    Flag broken funnels

    Partners with traffic but 0% signup rate get a separate callout — usually a landing page mismatch or expired UTM.

    Lark

What it looks like in chat

Which partnerships actually drive traffic?
Astra
90-day audit, 14 partners on your list: **Keepers (4):** Cursor integration page → 1,847 sessions, 89 signups, $4.2k MRR. Replit listing → 612 sessions, 31 signups, $1.8k MRR. Two podcast sponsorships break even. **Watch (3):** Two community Slacks (launched <30 days), one substack swap (recent). **Kill (5):** Three integration pages on partners' docs sites — zero referrals in 90 days, suggest asking them to swap for an active link or remove our logo. Two badge-in-footer deals — dead. **Broken (2):** Vercel marketplace listing — 423 sessions but 0 signups. UTM is `utm_source=vercel` but landing page redirects and strips it. Fix: 30 min. Make.com integration listing — sessions tracked but pricing page bounces at 89%. Likely page mismatch. Want me to draft the deprecation emails and file the funnel-fix tasks?
What you get back

A Lark message with a 4-bucket partner table (keep / watch / kill / broken), 90-day sessions and revenue per partner, plus a list of funnel fixes you can ship this week.

Cadence

On-demand, plus quarterly auto-refresh.

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Frequently asked questions

What if my partners don't have UTM tracking?

Astra flags untagged partners separately and proposes UTM strings for each. She'll also draft a one-line email you can send to partners asking them to update the link. With ~5 partners updated, attribution becomes reliable within 14 days.

How does she handle partners that drive brand awareness but not direct clicks?

She separates direct-attribution partners from brand-lift partners and notes which is which. Brand partners (podcasts, conference sponsorships) get measured against branded search lift in GSC instead of direct referrals — different KPI, different bucket.

Can she draft the deprecation emails too?

Yes — say "draft the kill-list emails" and she writes one per partner, polite, mentions the 90-day data, suggests either swapping for an active integration or removing the logo. You review and send.

How fresh is the data?

GA4 lags ~24-48 hours, Stripe is real-time. The full audit runs in under 90 seconds and pulls the latest available data each time you ask.

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