MarTech has advanced in recent years, but you ain’t seen nothin’ yet. Consider this blog entry that I posted, 12 years into the future and brought back for you to read with my proprietary Quantum Web-Stitching API…
Posted March,1, 2038:
“Legacy DMP’s distinguished inventory with sophisticated pre-bid filters, which enhanced identity resolution. But modern Auction Agents use physics in order to turn marketing messages and IMPs into electrons that interact with particles of light called photons. Electrons and photons are then paired with nano-CPU’s, giving each particle its own individual strategy for supply optimization. The very process of these interactions creates new pathways, so campaigns, with the help of AI, exhibit real-time strategy evolution and optimization toward outcomes.
The properties of Hyper Light DMP’s strengthen over time. Compressed quantum-level precision goes beyond 1P Data by learning from the batch audience at the molecular level (family history, RNA, DNA, mental schema) and blueprinting, then scaling characteristics effectively creating a flawless cohort in real time. This, in turn, eliminates Cluster Waste, which had plagued first generation HLDMP’s.
However, this integrated electron pathway, while accurate, is not perfect. As always, carbon-based units (consumers) remain as unpredictable as ever, subject to the myriad of persuasion attempts by MarTech and Filter Bubbles. To keep it stable over time, an artificial intelligence tool called ‘symbolic regression’ helps to reinforce selective perception by way of a steady cadence of near imperceptible micro messages, or barely registerable “quantum ques” which keeps the user focused on a particular Brand while at the same time attenuating interest in taking on the more arduous task associated with learning about new products. The tool essentially tries out different combinations of sensory operators (retina pings, synaptic cross-referencing, Dort process mapping), accounting for a variety of variables (mood, life circumstance, situation), to see what equation best matches the specific brain waves of each consumer.
New, more powerful HLDMPs are working to remain compliant to avoid Augmented Meta physical scaling, but as with all other AI-driven tools, there are certain things we can’t control.”
