Open for Real-Time Consumer Participation

Does the Algorithm
Know You Better Than
You Know Yourself?

Every search, click, and scroll builds a digital twin of you — predicted, profiled, and monetised before you act. Reflexive Digital Twin Marketing Theory (RDTMT) is the first academic framework mapping this phenomenon in real time.

✦ Takes 5 minutes  ·  100% anonymous  ·  Your response directly enriches live academic research

Start the Survey →
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Total Responses
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Avg. Digital Reflexivity
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Avg. Ethical Feedback Elasticity
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Avg. Value Coherence Index

RDTMT Core Framework

Three Constructs.
Nine Propositions.

Your responses feed directly into validating the theoretical propositions behind each construct.

Construct 1

Digital Reflexivity
(DR)

The recursive, constitutive process by which algorithmic systems generate behavioral representations that feed back to shape the very consumer behaviors they model.

P1Reflexivity depth vs. consumer autonomy
P2Speed moderates personalization & trust
P3Depth × speed → governance burden
Construct 2

Ethical Feedback
Elasticity (EFE)

How responsive algorithmic marketing systems are in adjusting behavior when confronted with stakeholder value signals — from consumer complaints to regulatory pressures.

P4EFE → consumer trust via responsiveness
P5Commercial pressure erodes EFE
P6Signal sensitivity reduces regulatory risk
Construct 3

Value Coherence
Index (VCI)

A multidimensional assessment of how well an algorithmic marketing system's objectives and governance align with the value expectations of consumers, regulators, and civil society.

P7EFE → VCI (moderated by DR depth)
P8VCI temporal coherence → brand equity
P9High VCI → regulatory co-operation

Empirical Clusters

Four Convergent Patterns
from 55 Studies

C1
Continuous Synchronization

Real-time consumer model updating and bidirectional data synchronization in algorithmic systems.

C2
Adaptive Intelligence

Feedback-driven learning loops that enable marketing systems to self-optimize over successive interactions.

C3
Reflexive Governance

Distributed governance of algorithmic systems responding to consumer, regulatory, and civil society pressures.

C4
Societal Co-Evolution

Co-evolutionary dynamics between consumer behavior, algorithmic curation, and shifting social norms.

How It Works

Your Journey in 3 Steps

01

Answer 15 Questions

Rate your real-world experiences with algorithmic marketing across all three RDTMT constructs — takes under 5 minutes.

02

See Your DR–EFE–VCI Profile

Instantly see your personal construct scores and how they compare to the growing aggregate from all participants.

03

Enrich the Live Dashboard

Your response updates the real-time analytics dashboard, visibly shifting the theory's empirical validation data.

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