When Spotify shut down Chartable in December 2024, podcast teams that relied on SmartLinks, SmartPromos, and cross-platform attribution lost access overnight. If you are searching for podcast alternatives to fill that gap, the options have expanded considerably since 2022. The challenge now is choosing the right combination for what your show actually needs.
This guide covers what Chartable was, why no single tool replaces it completely, and how B2B podcast teams should build their analytics stack for 2026.
Chartable launched as an independent podcast analytics platform built around three core features: SmartLinks (UTM-enabled links that tracked which channels drove listener conversions), SmartPromos (attribution for cross-promotional podcast advertising), and audience measurement dashboards that worked across hosting platforms.
Spotify acquired Chartable in February 2022 and spent two years integrating its core features into Megaphone, Spotify's enterprise podcast hosting platform. Non-Megaphone publishers were left in a holding pattern. In December 2024, Spotify shut down standalone Chartable access entirely. Publishers not on Megaphone lost all historical data access and all active SmartLink tracking.
The migration search that followed was predictable. Chartable had built a loyal user base because it solved a real problem: standard podcast hosting analytics do not tell you which marketing channel drove a listener, which episode converted a prospect, or how a promo campaign performed across episodes. Teams that had built attribution workflows around Chartable suddenly needed to find podcast alternatives that could replicate those workflows.
No single tool does everything Chartable did for non-enterprise publishers. Most B2B podcast teams now run two or three tools with distinct roles. Here is how the leading options compare.
| Tool | Primary Use | Pricing | Best For |
|---|---|---|---|
| Podtrac | Download measurement, cross-show benchmarking | Free (basic) | Baseline credibility, large publishers |
| Captivate | SmartLinks / trackable UTM links | Paid | Direct Chartable SmartLink replacement |
| CoHost | Audience demographics, B2B attribution | Paid | Brand shows, agency clients |
| Podscribe | Prefix + pixel attribution, ad tracking | Paid | Ad-supported shows, cross-channel reporting |
| Magellan AI | Prefix + pixel, podcast-to-web tracking | Enterprise | Large podcast networks, enterprise teams |
| Spotify for Creators | Platform-native analytics | Free | Spotify-first listener data |
| Spotify Ad Analytics | Pixel attribution, CRM integration | Paid | Ad campaigns with Salesforce/HubSpot data |
| Casted | CRM attribution, account-level engagement | Paid | B2B revenue teams, pipeline tracking |
| Bumper | Data and growth analytics | Paid | Larger podcast networks |
For the closest Chartable SmartLinks replacement: Captivate. It offers UTM-based trackable links that connect distribution channel to listener action, which was the core SmartLink use case.
For B2B audience intelligence: CoHost. It surfaces listener demographics including industry, company size, and job title data that hosting platforms do not provide. Casted goes further by mapping listener activity to CRM accounts for revenue attribution.
For attribution across ad campaigns: Podscribe and Magellan AI both use prefix-based tracking and pixel attribution to connect ad impressions to site conversions. Spotify Ad Analytics (formerly Podsights) does the same with native Salesforce and HubSpot integrations and a reported B2B conversion rate benchmark of approximately 0.98%.
Free starting point: Podtrac for download credibility benchmarking and Spotify for Creators for platform-specific data. Neither replaces Chartable's attribution features, but both are worth running as a baseline.
Before adding dedicated analytics tools, it helps to understand what your hosting platform already provides and where it stops.
Platforms like Buzzsprout, Transistor, and Simplecast give you downloads per episode, platform breakdown (what percentage of listeners use Apple vs. Spotify vs. other apps), basic geography, and episode-level completion rates. For a new show, this data is enough to understand what is resonating. For a B2B podcast with revenue targets, it is not enough.
The core limitation: hosting analytics measure what happens on your RSS feed. They cannot tell you which marketing channel drove a listener, which company a listener works for, or whether a download ever led to a sales conversation. Dedicated tools intercept media file requests at the network level or use pixel-based tracking to build a broader picture of listener behavior.
The practical recommendation: treat your hosting platform analytics as the floor. Add one dedicated tool for attribution. The combination covers baseline measurement and the pipeline attribution that B2B leadership actually wants to see. For a deeper look at how to choose a podcast hosting platform that fits your growth goals, the platform selection criteria matter alongside your analytics stack decision.
Most podcast teams measure what is easy. Download counts are visible in every hosting dashboard. Platform breakdown takes one click. Neither number tells you whether your podcast is generating revenue.
B2B teams need a different set of metrics, and most require tools beyond native hosting analytics:
Downloads and unique listeners are the baseline, but the signal that matters more is who is listening. A show with 250 downloads per episode, where 30 listeners are senior buyers at target accounts, outperforms a show with 2,500 downloads from a general audience.
Listener demographics surface that signal. CoHost and Casted can identify listener company, industry, job title, and company size. If your ICP is VP-level buyers at mid-market SaaS companies, this data tells you whether your show is reaching them.
Trackable links for episode-level attribution replicate the Chartable SmartLinks workflow. Captivate is the clearest replacement here. Every episode gets a unique trackable URL tied to its CTA, so you can see which episodes and distribution channels are actually converting listeners.
CRM attribution closes the loop between podcast activity and sales pipeline. Casted and Spotify Ad Analytics connect listener data to account records in HubSpot or Salesforce. When a prospect books a demo and their company shows up in your listener data, that connection gets logged rather than lost.
Promo code tracking lets you isolate episode-level ROI for ad campaigns or cross-promotional placements. Simple to implement, and one of the clearest ways to tie a specific episode to a measurable outcome.
For a full framework on connecting these metrics to revenue numbers, the B2B podcast ROI measurement guide covers the attribution architecture from UTM setup through pipeline reporting.
The goal is not to replicate everything Chartable did with a single tool. The goal is to cover three distinct jobs: baseline measurement, audience intelligence, and pipeline attribution. Here are the combinations that work for different team sizes.
Early-stage B2B show (under 500 downloads per episode):
This stack covers download measurement and episode-level conversion tracking without paid overhead. It does not surface who is listening, but it gives you enough data to optimize episode content and distribution.
Growth-stage show with pipeline goals:
Adding CoHost at this stage surfaces the audience intelligence that makes a B2B show defensible in a budget conversation. When you can show leadership that 15% of your listeners work at companies matching your ICP, the download count becomes secondary.
Enterprise or revenue-attributed show:
At this level, the stack is built around proving pipeline influence. Research on podcast-engaged prospect behavior shows these prospects close 23% faster and at 2.7x higher rates than other MQL sources. Capturing that data requires CRM-connected tools, not just download dashboards.
A note on cost: free tools cover vanity metrics. Attribution and B2B-grade audience data require paid tools. The investment is worth it only if you have a clear plan for how the data will change decisions. Before adding a paid analytics tool, define what question you are trying to answer and confirm the tool actually answers it.
For broader context on the analytics decisions that drive podcast audience growth, the measurement choices you make in year one shape the reporting you can build in year two.
If your team is rebuilding a podcast analytics stack after the Chartable shutdown, or you want a second opinion on whether your current setup is capturing the data that matters, Podsicle Media works with B2B teams on podcast strategy, production, and measurement.
Schedule a Call to talk through your current setup, or start with a Free Podcasting Plan to see how your analytics architecture fits into a broader B2B podcast strategy.
