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Missing the Mark: Why Legitimate Emails Head Right for the Spam Folder

Byte Technology

Upon further examination the recipient discovers it got automatically dropped into their spam folder. Another type of automatic email sifting is called Bayesian Filtering, which utilizes statistical analysis to “learn” what spam looks like. To begin, follow some simple steps. To begin, follow some simple steps.

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Simple Ways to Analyze Nonprofit Email Performance

Connection Cafe

Was my spam score low? As an email marketer, it’s your job to know the words that service providers are flagging as spam. A sudden drop in open rates could indicate your email was flagged as spam by one or multiple ISP’s. Statistically significant? . Four Terms. Two Equations.

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What We Learned at 17NTC: Day 1

Tech Soup

" and includes modeling statistical analysis. Don't email inactive subscribers: Only use quality email addresses; this means they should be permission based, validated, with no typo domains, with no spam traps, with no complainers, and a good fit for your target list. " and includes alerts and dashboards.

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Maximize ROI by Minimizing Spam Rates

NonProfit Hub

A large number of these emails are lost to spam. EveryAction conducted a study with 55 established nonprofits that have over 100,000 people in their email lists and found that by minimizing your messages sent to spam, you could raise your revenue by almost $15,000 each year. in revenue lost every year. Analyze More.

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How To Use Negative Feedback on Facebook To Improve Your Content Strategy

Beth's Blog: How Nonprofits Can Use Social Media

Hiding content is like deleting an email without reading it or hitting the spam button. While you are doing your analysis of what content got a lot of reach or shares, also take a look at what could be causing people to hide or unlike your content. Report spam: user thinks your page is spam. Why do 2% of fans unsubscribe?

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[VIDEO] The Early Bird Guide to Epic End of Year Fundraising

Bloomerang

.” I’m going to give you some tips to warm up your donors before you do the ask, and if you don’t think that really works, I’m going to show you the proof in the pudding and the actual statistics of how much that really does influence your donors giving again and giving larger amounts. I wrote up an entire analysis.

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Measuring the Value of Your Blog: Reflections Over the Last Year

Beth's Blog: How Nonprofits Can Use Social Media

The dramatic rise a year ago was I consolidated several RSS feeds so Feedburner was reporting aggregate statistics. I did not include spam comments or my own). You can do an analysis of your blog feed here. Here's a recent analysis of the "best" posts on my blog and I need to go figure out what the numbers mean.