Here's a question most marketing teams can't answer: which specific link in last week's campaign actually drove revenue?
They can tell you total clicks. Maybe unique visitors. But the gap between "someone clicked this link" and "this link generated $X in revenue" is where most attribution falls apart.
The Attribution Gap
Traditional short link tools give you:
- Total clicks
- Geographic breakdown
- Device breakdown
- Referrer information
What they don't give you:
- Which clicks converted
- Revenue per link
- Cost per acquisition by link
- Channel-level ROI
How getowl Customers Solve This
getowl's analytics go beyond clicks by integrating with your existing analytics stack:
PostHog Integration
Every click event is forwarded to PostHog with full context — UTM parameters, geo data, device info, and a unique click ID. This lets you build funnels from click → sign-up → purchase.
GA4 Integration
Same concept, different tool. Click events flow into GA4 as custom events, allowing you to use Google's attribution modeling on your link data.
UTM Discipline
getowl auto-appends UTM parameters based on your templates. No more manually typing utm_source=newsletter&utm_medium=email for every link.
The Real Cost
Teams we've talked to estimate they waste 15-30% of their marketing budget on channels that don't convert — but they couldn't prove it because their link analytics stopped at clicks.
With proper attribution, one getowl customer discovered that their LinkedIn campaigns (which looked great by click volume) had a 0.3% conversion rate, while their newsletter (lower click volume) converted at 4.7%. They reallocated $8K/month from LinkedIn to newsletter growth and saw total conversions increase by 22%.