We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: How One Post Quintupled My Blog Visitors
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > How One Post Quintupled My Blog Visitors
Business IntelligenceCRMData Mining

How One Post Quintupled My Blog Visitors

ariherzog
ariherzog
4 Min Read
How One Post Quintupled My Blog Visitors
Illustration generated with Qwen Image.
SHARE

I don’t obsess over metrics. But I enjoy comparing numbers now and then in relation to certain events.

Responding to Loic Le Meur and his traffic sources for last month, I’d like to share with you this blog’s sources for the period of November 27, 2008 to January 4, 2009:

  1. google.com (organic) – 10,486 visits
  2. direct (browser bookmarks, etc) – 3,092 visits
  3. twitter.com – 1,822 visits
  4. yahoo.com (organic) – 1,740 visits
  5. stumbleupon.com (referral) – 1,263 visits
  6. facebook.com (referral) -1, 146 visits
  7. msn search – 387 visits
  8. live search – 349 visits
  9. answers.yahoo.com – 323 visits
  10. google.com (referral) – 314 visits

Seen in a vacuum, these numbers may not mean anything. But they do, especially when you consider I rarely receive significant visits from Facebook, let alone answers.yahoo.com.

If you scroll back to my five-week-old article of tips on how I use Google Analytics to track aggregate data of website visitors, referral sources, browsers and operating systems used, etc., you will note I included data from a three-month period:

More Read

How to load your iPhone location data into R
How to load your iPhone location data into R
Enterprise Risk Management and EPM – Separate or Joined at the Hip?
Are You Enchanting? A Book Review
6 Key Capabilities an Embeddable Analytics Software Should Deliver
Business Intelligence to Deliver the Real-time Business Answers
  • 11,430 visitors
  • 20,391 page views
  • 1.44 average time per page view
  • 1:09 average time on site
  • 75.4% bounce rate
  • 80.4% new visits

Now look at the last four weeks:

  • 21,685 visitors
  • 32,844 page views
  • 1.36 average time per page view
  • 0:57 average time on site
  • 81.7% bounce rate
  • 88.8% new visits

Here’s a graph of that December traffic (using Quantcast, another tool I recently started using):

Do you want to guess what caused the mountain?

On December 21, I wrote an article about a series of Facebook phishing scams, that at the time, had zero online references. My post now has 69 comments, with new ones appearing every other day.

While you spend an average 60 seconds reading my blog content (typically because you read one post and rarely click into multiple posts), every visitor to the Facebook scam page spent three minutes reading!

Like the cycle of news, blog content comes and goes. But if you write something at the right time, visitors will come. You don’t have to be an A-list blogger; you can be anyone. Just write it and capture the noise. Provide possible solutions. Offer a way for people to ask questions, whether by blog comment, email, or Facebook message (and I received all three).

If you do it right, something will go viral as that Facebook post did.

Enough people told each other, that they came and posted their thanks. Those comments don’t belong to bloggers, either. There are few blog links attached to their names. Most of their comments are attached to random email addresses on yahoo and hotmail. The bulk of those commenters were Facebook users–but if I have anything to say about it, they will become future bloggers.

Photo credit: _federico_

Thank you for reading my article. If you enjoyed it, please consider receiving more strategies and tips by feed reader or email. If you use Twitter, I am at @ariherzog.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article's core relationship is the alignment between customer behavioral data (visit frequency,
Data-Driven Loyalty: How Restaurants Use Behavioral Analytics to Optimize Revenue
Exclusive
Flat editorial illustration: The article's core relationship is that reliable eCommerce attribution depends on a unified, well-st
How eCommerce Data Teams Can Build Attribution That Holds Up
Big Data Exclusive
Flat editorial illustration: The article's core relationship is the contrast between fragmented inherited data infrastructure (wh
Data Stack Consolidation as a Data Quality and Governance Strategy for Mid-Market Teams
Big Data Exclusive
Emergency responder and nurse reviewing tablet with data dashboards
Evaluating Workforce Assessment Tools: Looking Beneath the Dashboard at Psychometric Data
Exclusive Software

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Assisted Insight: The Future of Data Discovery
Business IntelligenceData ManagementData Visualization

Assisted Insight: The Future of Data Discovery

7 Min Read
BI on the Go... Who's Using Mobile BI?
Business Intelligence

BI on the Go… Who’s Using Mobile BI?

9 Min Read
Jeff Hammerbacher on Experiences Evolving a New Analytical Platform
Data Mining

Jeff Hammerbacher on Experiences Evolving a New Analytical Platform

0 Min Read
Email & Mobile
Business Intelligence

Email & Mobile

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?