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Automated Kindness

Consumption guilt drives consumers to find ways to improve their karma

Implications - The rise in curation makes it easier than ever for consumers to remain inside their own bubble of specific content, like-minded people, and tailored products. This self-contained approach to life may be enjoyable, but it can create feelings of guilt for those who want to better the world. Automated acts of kindness alleviate this guilt without disrupting the curated daily routine. In order to truly alleviate this guilt, these products and services are not branded and often consumer-made, highlighting a sense of community over capitalism.
Workshop Question - How can your brand help consumers escape their self-imposed "filter bubbles" in order to touch on more nuanced aspects of their lives?
Trend Themes
1. Automated Acts of Kindness - Technology-driven services that enable consumers to perform small, conscious acts of kindness are gaining popularity to alleviate feelings of guilt and emphasize community over capitalism.
2. Mobile Solutions for Social Issues - Mobile apps addressing social issues such as bullying and community building are gaining momentum among young consumers as their mobile devices are leveraged to make a positive impact.
3. Personalized Relationship Building - Businesses are adopting personalized communication strategies such as 'bonjoro' to connect with customers in a more personalized and effective way than traditional marketing methods allow.
Industry Implications
1. Social Networking - Social networking platforms can leverage the trend of automated acts of kindness to encourage positive engagements and community building among users.
2. Mobile Development - Developers can create mobile solutions for social issues such as bullying and community building that leverage mobile device ubiquity and their global connectivity potential.
3. Customer Relationship Management - Businesses can leverage personalized relationship building techniques to connect with customers in a more meaningful way and to strengthen customer loyalty and retention.
2.3
Score
Popularity
Activity
Freshness
Patterns
Megatrends
4 Featured, 36 Examples:
64,243 Total Clicks
Date Range:
May 16 — Apr 17
Trending:
Mild
Consumer Insight Topics:

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