Aiden Makes Digital Advertising Campaigns More Efficient and Effective
Alyson Wyers — December 31, 2016 — Tech
References: aiden.ai & springwise
Artificially intelligent assistants have been used in a number of fields, from homemaking to personal finances, but now AI marketing analysis could disrupt a new sector. Startup Aiden, which made waves at TechCrunch Disrupt, makes digital marketing campaigns more efficient using machine learning. This specifically helps marketers stay on budget with actionable data.
The AI marketing program uses natural language to answer questions and improve digital strategies in a way that makes Aiden seem like another co-worker. Functioning on multiple dashboards, it can make suggestions over a variety of platforms, including Slack, text message, email and Skype. Aiden also aims to make the data they offer more easy to digest, saving marketing professionals time as well.
They currently offer a subscription-based model, with a business tier available next year.
The AI marketing program uses natural language to answer questions and improve digital strategies in a way that makes Aiden seem like another co-worker. Functioning on multiple dashboards, it can make suggestions over a variety of platforms, including Slack, text message, email and Skype. Aiden also aims to make the data they offer more easy to digest, saving marketing professionals time as well.
They currently offer a subscription-based model, with a business tier available next year.
Trend Themes
1. AI Marketing Analysis - The use of AI to analyze marketing campaigns and help marketers stay on budget provides an opportunity to disrupt traditional marketing strategies.
2. Machine Learning for Digital Advertising - The ability for machine learning to suggest improvements and offer actionable data provides a disruptive innovation opportunity for digital advertising.
3. Natural Language Processing for Marketing - The use of natural language processing to answer questions and provide suggestions on multiple platforms offers a disruptive innovation opportunity for marketing communication.
Industry Implications
1. Digital Advertising - The integration of AI marketing analysis can provide a disruptive innovation opportunity in optimizing digital advertising campaigns.
2. Marketing Communication - The use of natural language processing to improve marketing communication provides a disruptive innovation opportunity for the marketing industry.
3. Data Analysis - The use of AI to offer actionable data and improve data analysis provides a disruptive innovation opportunity for the data analysis industry.
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