The internet has spawn a generation of business models that profit from network contagion (Think: Network Effects).
The rise of the Instagram and/or YouTube Influencer is one of the web's more recent expressions of this recurring theme of digital disruptions.
The challenge for any advertiser engaging the services of an Online Influencer is to calculate the real vs. the published cost of reach.
To help you understand this challenge we have built a simple engagement model that compares the cost of purchasing online influence with advertising on TV during the SuperBowl.
This model allows you to estimate the impact of Machine Traffic (Think: Bots) and/or Fake Followers on the cost of engagement
Simply move the sliders to explore how an infectious contagion of machine generated followers has the potential to distort the costs of doing business with influencers.
Cost per 1,000
The use of these calculators, charts, visualisations, data or any information shall be at the user’s sole risk. Such use shall constitute a release and agreement to hold harmless, defend and indemnify Digital Partners from and against any liability (including but not limited to liability for special, indirect or consequential damages) in connection with such use. Such release from and indemnification against liability shall apply in contract, tort (including negligence of such party, whether active, passive, joint or concurrent), strict liability, or other theory of legal liability; provided, however, such release, limitation and indemnity provisions shall be effective to, and only to, the maximum extent, scope or amount allowable by law.
Questions of accuracy
Tymbals is an experiment in machine learning and statistical modelling of small data pools. Tymbals is still under development. It is still learning. Tymbals is Beta - i.e. Pre-release.
The probabilities and outputs (e.g. calculators, charts, visualisations) will evolve and change as the system ingests more data.
Tymbals is a probability model. The results generated by Tymbals are market estimates based on the cummulative value of the data within the distributed data pools.
All data inputs are automatically added to the learning pool from which Tymbals models are generated.
If you do not want your data added the data pool do not use Tymbals
Copyright 2017-2019 Digital Partners Pty Limited. All Rights Reserved