Top podcast movers & shakers

October
 
2025
 rankings

Each month, Magellan AI analyzes the trailing month’s data to uncover the top podcast advertisers by increase in month-over-month spend. See the latest chart in podcast advertising below.

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Rank
Advertiser
October
spend
Prior month's spend
Pct. change
1
American Beverage Association
$6,242,600
$893,300
599%
–
2
Public.com
$1,246,900
$144,100
765%
–
3
Home Depot
$1,190,200
$282,200
322%
–
4
Peloton
$1,149,400
$2,100
54633%
–
5
Perplexity AI
$954,800
$0
–
6
PhRMA
$872,200
$73,400
1088%
–
7
Colgate-Palmolive
$859,100
$6,300
13537%
–
8
Tractor Supply Co
$692,100
$81,200
752%
–
9
Rubrik
$629,100
$0
–
10
Bank of America
$618,600
$10,100
6025%
–
11
Uncommon Goods
$567,600
$700
80986%
–
12
Goldbelly
$530,700
$86,000
517%
–
13
Kraft Mayo
$459,900
$0
–
14
LEGO Group
$418,300
$82,600
406%
–
15
Little Spoon
$296,500
$24,100
1130%
–
The top-15 list uses our proprietary model informed by the most-downloaded podcasts. For additional details – including comprehensive flighting, frequency, historical data, and more – book a customized demo.

Join the webinar series

Register now for a quick 20-minute webinar that breaks down the latest trends in podcast advertising as they emerge. We’ll expand on our Quarterly Benchmark Report with a look at emerging trends, top brands, standout industries. Next webinar: Feb, 2026
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Go deeper

Get detailed flighting and frequency data for these advertisers, keep a watchlist, understand where and how often they appear in podcasts – and much more. We'll show you everything you want to know in a customized demo.

Methodology

Magellan AI analyzes podcast advertising data from the top 3,000 podcasts in the U.S. For parts of this analysis, we relied on Magellan AI’s proprietary model to estimate advertising spend. Our model is continually adjusted based on available inputs and incorporates a number of factors, including:
  • The number of ads and variation in ad load detected for a given episode
  • Number of downloads for each episode
  • CPM, as reported directly from partners or modeled from show similarity rankings
  • Ad type, with differentiation for programmatic and RON ads
  • Podcast revenue estimates calibrated against reported network data
  • Brand SOV breakout by show
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