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Raggedy Ann Stories (version 3)
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General

Raggedy Ann Stories (version 3)

Hosted by Unknown Host · EN · 1 episodes

Where this show ranks

Episodes
1
Last ep.
10 days ago
Avg length
115m
Booking Probability™
32
Stretch.
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Estimated audience
,
Audience size not yet estimated
Listen Score
4
Niche reach.
Virality (30d)
41
Steady cadence.

Pitch Analysis

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Required Pod Score
80/ 100
Premium

Established thought leaders with verified media credentials.

Contact path
Verified email on file
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Guest openness
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About this podcast

As I write this, I have before me on my desk, propped up against the telephone, an old rag doll. Dear old Raggedy Ann! The same Raggedy Ann with which my mother played when a child. There she sits, a trifle loppy and loose-jointed, looking me squarely in the face in a straightforward, honest manner, a twinkle where her shoe-button eyes reflect the electric light. Evidently Raggedy has been to a "tea party" today, for her face is covered with chocolate. She smiles happily and continuously. True, she has been nibbled by mice, who have made nests out of the soft cotton with which she has been stuffed, but Raggedy smiled just as broadly when the mice nibbled at her, for her smile is painted on. What adventures you must have had, Raggedy! What joy and happiness you have brought into this world! And no matter what treatment you have received, how patient you have been! What lessons of kindness and fortitude you might teach could you but talk; you with your wisdom of fifty-nine years. No wonder Rag Dolls are the best beloved! You are so kindly, so patient, so lovable. The more you become torn, tattered and loose-jointed, Rag Dolls, the more you are loved by children. Who knows but that Fairyland is filled with old, lovable Rag Dolls—soft, loppy Rag Dolls who ride through all the wonders of Fairyland in the crook of dimpled arms, snuggling close to childish breasts within which beat hearts filled with eternal sunshine. So, to the millions of children and grown-ups who have loved a Rag Doll, I dedicate these stories of Raggedy Ann. - Summary by from introduction

About the host

Unknown Host hosts Raggedy Ann Stories (version 3), a general show with 1 episodes published.

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Recent episodes

Our AI reads these to draft pitches

Raggedy Ann Stories version 3 - Johnny Gruelle

May 26, 20261h 54m0

As I write this, I have before me on my desk, propped up against the telephone, an old rag doll. Dear old Raggedy Ann! The same Raggedy Ann with which my mother played when a child. There she sits, a trifle loppy and loo

Show notes

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Audience demographics

Age
25-54
Consumer type
General audience

Successful pitch examples

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Frequently asked questions

How do I pitch Raggedy Ann Stories (version 3) as a podcast guest?

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Who is the host of Raggedy Ann Stories (version 3)?

Raggedy Ann Stories (version 3) is hosted by Unknown Host. The show is categorised under General and has published 1 episodes.

How many episodes does Raggedy Ann Stories (version 3) have?

Raggedy Ann Stories (version 3) has published 1 episodes.

Is it hard to get booked on Raggedy Ann Stories (version 3)?

Raggedy Ann Stories (version 3) is accessible for guests with genuine general expertise. A personalised, episode-aware pitch will still outperform a generic one every time.

Is Raggedy Ann Stories (version 3) currently accepting guest pitches?

Raggedy Ann Stories (version 3) hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.

How long are Raggedy Ann Stories (version 3) episodes?

Episodes of Raggedy Ann Stories (version 3) average 115 minutes, giving guests a long-form format with plenty of time to expand on their expertise.

What guest credentials does Raggedy Ann Stories (version 3) typically look for?

Our data rates Raggedy Ann Stories (version 3)'s guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.

Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 7 days ago.

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