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Full-Text Articles in Business
Designing Viral Product Features For Broader Reach, Sinan Aral, Dylan Walker
Designing Viral Product Features For Broader Reach, Sinan Aral, Dylan Walker
Business Faculty Articles and Research
Companies increasingly rely on “network” and “viral” marketing within their communication strategies. This study showed that providing viral products with specific features can increase their diffusion substantially. Products that were enabled to send automated notifications within a user’s local Facebook network upon adoption generated a 450 % higher adoption rate among Facebook friends compared with products without any viral features. Products that enabled adopters to send personal invitations to install the app generated an increase in the adoption rate by friends by 750 % more than in the control group. Although each personalized referral had a much stronger impact, notifications …
Tie Strength, Embeddedness, And Social Influence: A Large-Scale Networked Experiment, Sinan Aral, Dylan Walker
Tie Strength, Embeddedness, And Social Influence: A Large-Scale Networked Experiment, Sinan Aral, Dylan Walker
Business Faculty Articles and Research
We leverage the newly emerging business analytical capability to rapidly deploy and iterate large-scale, microlevel, in vivo randomized experiments to understand how social influence in networks impacts consumer demand. Understanding peer influence is critical to estimating product demand and diffusion, creating effective viral marketing, and designing “network interventions” to promote positive social change. But several statistical challenges make it difficult to econometrically identify peer influence in networks. Though some recent studies use experiments to identify influence, they have not investigated the social or structural conditions under which influence is strongest. By randomly manipulating messages sent by adopters of a Facebook …
Identifying Social Influence In Networks Using Randomized Experiments, Sinan Aral, Dylan Walker
Identifying Social Influence In Networks Using Randomized Experiments, Sinan Aral, Dylan Walker
Business Faculty Articles and Research
The recent availability of massive amounts of networked data generated by email, instant messaging, mobile phone communications, micro blogs, and online social networks is enabling studies of population-level human interaction on scales orders of magnitude greater than what was previously possible.1'2 One important goal of applying statistical inference techniques to large networked datasets is to understand how behavioral contagions spread in human social networks. More precisely, understanding how people influence or are influenced by their peers can help us understand the ebb and flow of market trends, product adoption and diffusion, the spread of health behaviors such as smoking and …
Creating Social Contagion Through Viral Product Design: A Randomized Trial Of Peer Influence In Networks, Sinan Aral, Dylan Walker
Creating Social Contagion Through Viral Product Design: A Randomized Trial Of Peer Influence In Networks, Sinan Aral, Dylan Walker
Business Faculty Articles and Research
We examine how firms can create word-of-mouth peer influence and social contagion by designing viral features into their products and marketing campaigns. To econometrically identify the effectiveness of different viral features in creating social contagion, we designed and conducted a randomized field experiment involving the 1.4 million friends of 9,687 experimental users on Facebook.com. We find that viral features generate econometrically identifiable peer influence and social contagion effects. More surprisingly, we find that passive-broadcast viral features generate a 246% increase in peer influence and social contagion, whereas adding active-personalized viral features generate only an additional 98% increase. Although active-personalized viral …