You might also harness the power of Other People’s Networks, or OPN. It’s one of the many tactics taught by Growth Tribe, Europe’s first growth hacking academy with students from over 415 companies across the continent. Practicing what they preach, they used OPN for their International Growth Marketing Summit, an entirely online 8-hour conference with 15 renowned guest speakers from the industry.
Viral marketing or viral advertising is a business strategy that uses existing social networks to promote a product. Its name refers to how consumers spread information about a product with other people in their social networks, much in the same way that a virus spreads from one person to another.[1] It can be delivered by word of mouth or enhanced by the network effects of the Internet and mobile networks.[2]

The participants were asked to challenge minimum three persons to take the Ice Bucket Challenge. This was one of the reasons why campaign became viral. If one person tells three other people about the challenge, and those three tell the other three, a viral loop is created. By setting a call to action, and asking your audience to share about your campaign with others, you too can keep your campaign alive.


A content specialist needs to be a Jack or Jill of all trades, utilizing excellent written and verbal communication skills, above-average computer literacy, and a natural interest in trends. This job is ultimately about translating the key aspects of the product into content the target demographic finds appealing. This is part art, part critical thinking, and 100% attention to detail.
All viral marketing examples — deliberate or accidental — have three things in common: the message, the messenger and the environment. Each part must be leveraged to create a successful viral marketing campaign. Viral marketing campaigns may be created by any size of business and can stand alone or be a part of a larger traditional campaign. The campaigns themselves may utilize a number of tools, such as videos, games, images, email and text messaging, free products, appealing to the emotions of users or viewers, raising awareness to a worthy cause, and making such products, ideas or media easy to consume and share. Viral marketing often relies on the help of an influencer, who has a large network of followers.
View count: View count is the number of times your video has been viewed — also referred to as reach. This metric is great to track if your goal is to increase brand awareness and have your content seen by as many people as possible. However, it’s important to remember that every video hosting platform measures a view differently. For example, a view on YouTube is 30 seconds while a view on Facebook is only 3 seconds. Be sure to read the fine print before reporting on your video view count.
Cost per action/sale methods require that referred visitors do more than visit the advertiser's website before the affiliate receives a commission. The advertiser must convert that visitor first. It is in the best interest of the affiliate to send the most closely targeted traffic to the advertiser as possible to increase the chance of a conversion. The risk and loss are shared between the affiliate and the advertiser.
I love this infographic. Can I use it I see the code, but I like permission lol. I will use it for my clients to refer to it with my referral program and ambassador programs for Goodie Bag Marketing. You definitely hit on some things that needed much love. I agree, many forget about it. I select those who are my referral/affiliates and my ambassadors too. We need to compliment each other too.

Bob Gerstley was among the first to write about algorithms designed to identify people with high "social networking potential."[17] Gerstley employed SNP algorithms in quantitative marketing research. In 2004, the concept of the alpha user was coined to indicate that it had now become possible to identify the focal members of any viral campaign, the "hubs" who were most influential. Alpha users could be targeted for advertising purposes most accurately in mobile phone networks, due to their personal nature.[citation needed]

^ Semenov, Alexander; Alexander Nikolaev; Alexander Veremyev; Vladimir Boginski; Eduardo Pasiliao (2016). Analysis of Viral Advertisement Re-Posting Activity in Social Media. Computational Social Networks. CSoNet 2016. Lecture Notes in Computer Science, Vol 9795. Lecture Notes in Computer Science. 9795. pp. 123–134. doi:10.1007/978-3-319-42345-6_11. ISBN 978-3-319-42344-9.
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