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id
int64
1
20
press_releases
int64
5
60
tier
stringclasses
3 values
pickup_score
int64
42
100
estimated_reach
int64
7k
110k
category
stringlengths
4
11
notes
stringlengths
16
29
1
5
local
42
7,000
Technology
Small local tech announcement
2
10
local
44
9,000
Finance
Local finance news
3
15
national
50
30,500
Technology
Mid-size tech launch
4
20
national
54
34,000
Crypto
Crypto project announcement
5
25
national
57
37,500
Finance
Finance product launch
6
30
global
70
80,000
Technology
Global SaaS launch
7
35
global
74
85,000
Crypto
Major crypto exchange listing
8
40
global
80
90,000
Finance
IPO announcement
9
50
global
90
100,000
Technology
Major product launch
10
60
global
100
110,000
Crypto
Top-tier crypto news
11
8
local
43
8,200
Healthcare
Local health awareness
12
12
national
48
28,400
Education
University press release
13
18
national
52
32,600
Real Estate
Property development news
14
22
global
62
72,000
Energy
Renewable energy project
15
28
global
68
78,000
Automotive
EV launch announcement
16
33
national
63
43,100
Retail
E-commerce platform launch
17
45
global
85
95,000
Technology
AI product announcement
18
55
global
98
105,000
Finance
Major funding round
19
7
local
42
7,700
Food
Restaurant chain opening
20
16
national
51
31,600
Travel
Tourism campaign launch

PRWire News Pickup Predictor Benchmarks

Benchmark dataset of 20 press release campaigns with pickup scores and syndication reach estimates.

Built by PRWire.online powered by BHMarketer.

Dataset Description

This dataset contains benchmark data for predicting press release news pickup probability and syndication reach across wire distribution outlets.

Columns

Column Type Description
id integer Campaign ID
press_releases integer Number of PRs distributed
tier string Distribution tier (local/national/global)
pickup_score integer Predicted pickup score (0-100)
estimated_reach integer Estimated syndication reach
category string Industry category
notes string Campaign description

Tier Guide

Tier Description Base Reach
local City or region-level ~5,000
national Country-wide campaigns ~20,000
global International distribution ~50,000

Usage

import pandas as pd
df = pd.read_csv("reach_benchmarks.csv")
print(df.head())

Links

License

MIT — PRWire.online

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