
How to Win Friends and Disappear People

Overview
"How to Win Friends and Disappear People" is a scripted audio fiction thriller blending supernatural horror with dark comedy and social satire. Starring Leslie Grace and Soni Bringas, the series follows Nancy, an awkward computer scientist who becomes entangled with El, a centuries-old vampire navigating millennial New York City. The show explores themes of obsession, identity, loyalty, and morality through a modern lens—layering vampire mythology with social media culture, workplace politics, and toxic friendships. Its tone oscillates between campy humor and genuine tension, with adult content and violence woven into a fast-paced, serialized narrative. Produced by QCODE, known for high-production audio drama, the podcast appeals to fans of supernatural fiction, character-driven thrillers, and dark comedic storytelling, particularly listeners who enjoy immersive, cinematic audio experiences with complex female leads and morally ambiguous relationships. Each episode builds toward escalating stakes, deception, and mayhem, culminating in a gripping finale that redefines the bond between its two protagonists."
Show Impressions
Estimates only, not verified by show
Est. Podcast Downloads
10,640
Demographics
Location
Fans by country:
Age Distribution
18-24
12.0%
25-34
28.0%
35-44
26.0%
45-54
18.0%
55-64
11.0%
65-99
5.0%
Income Brackets
$50k-60k
13.0%
$60k-70k
12.0%
$40k-50k
11.0%
$70k-80k
11.0%
$80k-90k
10.0%
$30k-40k
9.0%
$90k-100k
9.0%
$100k-150k
8.0%
$20k-30k
7.0%
$10k-20k
4.0%
$150k-200k
4.0%
$200k-1000k
2.0%
Unlock show and brand data, including top ads, overall spend, and the ability to listen to ads.
Top Advertisers
Top Spenders | Est. Spent | Change | Host Read % | DR % | # of ads | Frequency | Top Shows |
|---|---|---|---|---|---|---|---|
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
Ads and Episodes
Recent Episodes
Recent Campaigns