Inspiration & Thanks
Thanks to the
for the post below and others for inspiration.SubstackAI: Images // OpenAI GPT-4: Prompts // NI: Curation
The following AI images are based on the
post above.OpenAI GPT-4 Analysis and Summary:
The following are AI analysis and summary of the
post above.In a recent article by Keith Newman, he discusses the transformative shifts in the Media, PR, and Journalism industry. Traditional PR tactics like press releases are no longer effective, with most conventional rules being outdated. He stresses a significant movement toward paid media, where businesses pay to get their stories published in key media and research outlets - a technique best described as "pay to play."
This method is prevalent across top media outlets that altered their selection criteria from "fit to print" to "fit to pay." Newman suggests that any business looking to propagate its PR needs a reasonable marketing budget to support these efforts. This shift initially began with B2B and Business media before it spread to consumer media.
Newman advises businesses and individuals to have a strategic plan, cognizant of market realities, when venturing into this new media landscape – identifying their target audience, preferred media channels, and the key message to be conveyed.
Despite the advantages of direct control and message-shaping in owned media or the trust level found with earned media, Newman proposes for a balanced marketing strategy leveraging both owned and earned media while embracing the "pay to play" model. The author insists on correct use of marketing motions and proper analytic tools to calculate ROI and meet key goals, gradually experimenting and reacting efficiently.
AI Advantage
Instead of “paying to play”, access to AI may provide marketers the opportunity to increase marketing velocity of “owned media” leading to more “earned media”.
For example, MasterVerse.AI is providing free access to shared AI within a supportive Slack community and dedicated AI within a dedicated channel for $50/mo/user.
The difference between shared and dedicated AI is like exercising at the gym vs. at home. Both have benefits. So too, some AI trumps no AI.
Shared AI is shared by community members (i.e., AI co-working), whereas dedicated AI is not shared and used within a dedicated channel (i.e., AI solo-working).
Both shared and dedicated AI may empower creating more “owned media” vs. “pay to play media”. The cost of AI, may be pennies on the dollar vs. “pay to play media”.
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Disclaimer
***** The information herein is neither professional advice nor a replacement for professional advice. Please consult a professional provider as needed. MasterVerse.AI is for informational purposes only and may include fact or faction and provides no guarantee in any form. The reader assumes all risks for reading and is responsible for fact-checking anything and everything herein. *****