What to look for in podcast and creator ad attribution software — and how the common approaches stack up against each other.
Updated March 2025. We built Castlytics, so this comparison naturally covers our product — but the feature breakdown is accurate.
Attribution works differently for creator ads than for paid social or search. Understanding the gap is the first step to choosing the right tool.
Podcast listeners can't click links while commuting. YouTube viewers watch but don't always pause to click show notes. Influencer audiences screenshot and visit later. Click-based tracking alone captures only a fraction of creator ad conversions.
UTMs and pixel-only tools miss the majority of creator-driven revenue.
The most complete approach combines four signals: a tracking link for show notes and clickable placements, a vanity path for spoken CTAs (the listener types it directly), a promo code at checkout as a fallback, and a post-purchase survey for buyers who used none of the above.
Tools that support all four capture significantly more revenue per campaign.
Key features to evaluate when choosing podcast attribution software.
| Feature | CastlyticsBuilt for creator attribution | Generic UTM builderURL parameter-based tracking | Spreadsheet trackingManual import and matching | Enterprise attributionMedia-mix modelling platforms |
|---|---|---|---|---|
| Tracking links | ✓ | ~UTM only | ✗ | ✓ |
| Custom tracking domain | ✓Starter+ | ✗ | ✗ | ✓ |
| Vanity path (first-party) | ✓ | ✗ | ✗ | ~Custom dev |
| Promo code attribution | ✓ | ✗ | ~Manual | ~Manual |
| Post-purchase survey | ✓ | ✗ | ✗ | ✗ |
| Shopify integration | ✓ | ✗ | ✗ | ~Enterprise |
| Revenue / ROAS tracking | ✓ | ~Requires GA4 | ~Manual | ✓ |
| Attribution model choice | ✓First/Last/Linear | ✗ | ✗ | ✓ |
| Creator shareable reports | ✓ | ✗ | ✗ | ✗ |
| Free plan | ✓3 campaigns free | ✓ | ✓ | ✗ |
Castlytics
Built for creator attribution
Generic UTM builder
URL parameter-based tracking
Spreadsheet tracking
Manual import and matching
Enterprise attribution
Media-mix modelling platforms
✓ = yes ✗ = no ~ = partial or workaround required
Five criteria that separate specialist attribution tools from generic analytics.
This is the most important differentiator. If the tool can't detect first-party vanity paths (yourbrand.com/creator), it will miss the majority of conversions from spoken audio ads. Redirect links alone are not enough for podcast campaigns.
Even with vanity paths, some listeners convert days later on a different device. A promo code at checkout is the most reliable cross-device, cross-session signal. Any serious podcast attribution tool must support it.
Clicks and views are vanity metrics for ad spend. You need to know which campaigns generated revenue — actual dollars per show, not just traffic. The tool needs to accept revenue data at conversion time and surface ROAS per campaign.
First touch, last touch, and equal-split attribution produce different answers. First touch shows which shows introduce customers. Last touch shows which shows close sales. You want to see all three — not be locked into one model.
Manually importing orders to match against promo codes doesn't scale. Look for native Shopify or WooCommerce integration that auto-syncs orders and matches discount codes to campaigns without any code on your checkout page.
UTM parameters work well for paid social and search. For podcast and creator ads, they miss most of what matters.
Free plan includes 3 campaigns with full four-signal attribution. No credit card required.