Deep.BI retweeted
In this #flinkforward talk, Michal Ciesielczyk from @_DeepBI discusses how their team built a data pipeline with @ApacheFlink for use cases such as fraud detection, A/B test control, content scoring, and user engagement modelling.
👀📺: bit.ly/2KPqGVL
Deep.BI retweeted
.@_DeepBI insight: The most predictive machine learning algorithm was the time since the first visit ever by a reader, or the tenure, measured by days and then translated into a loyalty score. ow.ly/RfFM50Aqb6c @g_piechota
Deep.BI retweeted
A reader's Loyalty Score is the biggest determining factor of that reader's propensity to churn according to @_DeepBI, followed by long-term RFV (recency, frequency, volume) change and visit frequency. Get in touch to find out more! #churn #retention #subscriptions
What can AI teach us about behaviours leading to churn? inma.org/blogs/reader-revenu…
Deep.BI retweeted
.@Jaguar, @LandRover and @BMW all launch subscription services for their vehicles, citing extra features their customers can enjoy. Some early signs showing that people do NOT like this approach, more to be seen in the future. #subscriptions
autoblog.com/2020/07/03/jagu…
Deep.BI retweeted
Make sure to join us in 30 mins at @INMAorg's Digital Subscriber Retention Master Class today organized by @g_piechota where our Head of AI Engineering Michał will be presenting how #publishers can use data and #AI to build models which predict and prevent #churn! #subscriptions
Deep.BI retweeted
Targeted paywalls stop readers selected with advanced analytics techniques, such as data mining, statistics, modelling, and machine learning. ow.ly/7cEU50zXkEt @_DeepBI @g_piechota
Deep.BI retweeted
Two experiments carried by mid-sized publishers in Europe and in Asia show the promise of propensity models when applied to paywall targeting. ow.ly/Ignv50zXkEi @_DeepBI @g_piechota
Deep.BI retweeted
Being a registered user to a news site is found to be universally the most predictive feature indicated by five propensity to buy models. ow.ly/UMP350zXkEW @_DeepBI @g_piechota
Deep.BI retweeted
Research shows 39% of national media outlets in 33 countries charged for online news in early spring 2020. ow.ly/J1uf50zS4wq @g_piechota
Deep.BI retweeted
As of today, the @TOIIndiaNews e-paper is behind a paywall, while before required only registration to view.
"TimesPrime, which offers a select bunch of exclusive stories for online readers, will also be made available shortly to e-Paper subscribers."
timesofindia.indiatimes.com/…
Deep.BI retweeted
My colleague @JGW67258245 has recently written a piece about the shift in data towards first party data and explicit data provided from users - cutting away all the buzzwords and fluff
deep.bi/blog/whats-all-this-…
#INMA2020 #Maketing #Advertising #cookiewalls
Deep.BI retweeted
On today's topic, we're talking about the cookiepocalypse and zero party data. While us humans like to sensationalize, here's what that means in plain terms:
Using your own cookies & collecting data explicitly from users (interests, demographic info) is the way forward #INMA2020
Deep.BI retweeted
Kicking off today's 4th module of #INMA2020, we're joined by @jarroddicker , @lytzen, @msilberman, @nedregotten, Camilla Fuglem from Aller Media and @dagbladet, and finally @tombetts. The whole module will be moderated by @YasNYC.
Make sure to follow all of these great people!
Deep.BI retweeted
Replying to @hishamitani @INMAorg
Thanks for the data we used for an amazing case study that inspired one of the biggest insights shared today: Covid bump in traffic and subscriptions are separate phenomena!
Deep.BI retweeted
On a separate note, it's refreshing to hear talks about #5G that aren't conspiracy theories thanks to @dunstewart's discussion about private #5G networks!
#INMA2020
Deep.BI retweeted
When it comes to Brazil, Frederic Kachar from Infoglobo / Grupo Globo says that they're considering moving to charging for live events rather than just rely on sponsors and creating new content formats through popular content as a base. @JornalOGlobo @editoraglobo #INMA2020
Deep.BI retweeted
Great piece by @LouisColumbus, highlighting the need for self-service analytics, data democratization across organizations and how *collaborative* BI tools will be the driving force behind this transformation.
While other IT projects have taken a hit, BI projects are thriving.
Deep.BI retweeted
"There’s been a 68% increase in enterprises who say cloud computing is critical to their operations between February to April. 97% of enterprises say all their employees now WFH, escalating the need for cloud-based self-service BI." @LouisColumbus @Forbes
forbes.com/sites/louiscolumb…
Deep.BI retweeted
Companies should use a microscope to look at existing members and offerings, and use a telescope to look out on the horizon at what tomorrow’s members’ options are. @robbiebax ow.ly/v3BF50zAqBE #inma2020
Deep.BI retweeted
.@Gannett is navigating the transition from free COVID-19 content to premium content. @jawtry @laurTruitt #inma2020 ow.ly/AygH50zAI6O @shelleyseale

















