Announcing Blotout V0.1

The world’s first client computed, privacy by design, product analytics SDK for application and web developers.

Recommended pre-reading

  1. Privacy by trust vs. Privacy by design
  2. Kiss: making privacy by design easy

Next turn of technology

Source: Techopedia

We have to change; not just for our sake but for the sake of our children. That change needs to happen now!

The future is First Party

Credit: MightyHive

A picture is worth a thousand words. The largest Tech companies are surprisingly forcing changes for our own good.

If this trend continues, all systems will move to first party data and eliminating companies in the middle transacting on data vs. the relationship of the consumer and the Enterprise.

Privacy by design and simplicity

Simplicity for switching from the old ways to a privacy centric way, on the other hand, is a must for this change to occur. If privacy first toolkits that can enable businesses to succeed and garner consumer trust are not easy to use, change will become harder and frustrating. Read our article describing exactly the need to keep it simple.

Switching is never easy and always has a cost. The question becomes which cost is worth taking on; The cost of switching analytics platforms or the cost of trust with your consumer. — keeping humanity vs. managing greed.

Issue: Current stream of Privacy thinking

The idea of collecting and anonymizing is still saying — hey enterprise, I trust you and I sincerely hope you are anonymizing me from your data collection as you collect data about how I use your app. Relationship is trust based.

The idea of privacy is saying — hey enterprise, how about I tell you how i am using your app without telling you who I am. Private by design.

The Power of Computing On-Device

To help one understand the concept, almost all of the Smartphone CPUs are at or near parity to most desktops; CPU is what is required to process data locally and the power requirements are miniscule. Smartphones connected to a network are the perfect distributed computing system that eventually can become the backbone of future computing, removing the need for a central cloud based structure.

Key Point: Power back to the Consumer

With Blotout, enterprises get Business Intelligence they need while giving complete power back to the user in terms of “do not track”.

Current technologies are simply working around data blocking technologies and skirting the laws by utilizing highly encroaching technologies with tracking via cookie sync’ing, IP address matching, “fingerprinting”, and ID based graphs. These data practices will go away as they’re not following the spirit of consumer privacy, and key stakeholders are taking action to eliminate. But…Apps and Content Creators need to be able to find a middle ground where users personal data is not compromised and unsafe in the cloud while enabling the basic ability to see how a piece of app or content is consumed.

With Blotout tech stack, when a user says I am done with the App and/or Site, the user has deleted all its ability to be tracked by the App or Site ever again. Zero ID, Zero IP, Zero Tracking and never worry about opt outs.

Blotout Analytics and Re-Engagement Suite V0.1

To adhere to simplicity principles, Blotout Analytics will ensure that there is no loss of user analytics functionality; the integration and codification of Blotout analytics SDK is similar to the existing analytics providers allowing a seamless switch.

Architecturally and safety wise, Blotout is miles apart from current providers in-market. At no point are events correlated or sent with any PII; and at all points user can opt out of analytics without having to ask for erasure — there is no user associated data anywhere in Blotout. The server never keeps any user private data; and soon you can have your App or your Site interact with the user on the edge, with no idea who the user is.

Blotout: Privacy by design application analytics

Blotout, today at launch, provides a privacy by design Android, iOS SDK and a JS SDK;

1. Complete event analytics as is present with providers today

2. Client Computed Funnel

3. Client Computed App Segmentation

4. Retention App that is Edge Smart

5. A Client stored time-series DB that will eventual run ML on the Edge itself (no Privacy issues)

You will immediately see a reduction in your cost of data storage and associated server processing as these calculations are made at the edge.

However, to keep things private, events are randomly delayed; features like funnels and segments take time to build as clients compute when they are active and resources are available.

Small compromise for a privacy by design future.

On a cost/benefit side, computing power is attributed back to the user and the total cost of server processing goes down significantly. It is a good balance of getting privacy back and achieving a perfectly capable distributed computing center.

Why Analytics?

Hence, Analytics! Start the process all over again, but let’s do it right this time around.

Analytics products are universally used, and one of the few applications where privacy is breached every microsecond. And a product where IDs and finger printable data should be required.

So, why not? Everyone should switch to Privacy by Design analytics but a lot of us will find it hard to switch; when i can track every user that have no lobbying abilities, why should i bother? Let’s not forget as developers, need to be the change we want to see in the world.

Next up V0.2: App Re-Engagement

As with all our features, re-marketing is designed with privacy in mind. When a user has downloaded and using your app, you can retarget. When they uninstall and leave, they are untraceable! It’s pretty criminal to retarget users who have left your apps on other platforms — that is a significant breach of their privacy, like it is yours too!

Unlike today, where finger prints are left with Google, Facebook, Twitter, etc. and they claim to have removed your trace, privacy by design re-targeting leaves the user alone. Once they have left your ecosystem, their ID traces are fully gone from a tracking perspective.

Our vision for Blotout

We hope to soon prove to the developer community that privacy by design can not only compete with current privacy breaching technologies, but rather surpass them with improved efficiencies and capabilities.

Our goal at Blotout is to show that edge based computing can save humanity but also solve a critical set of issues at the edge, faster than any cloud prediction service can; at scale!

If you want to try out our solution, email us here. If you would like to invest in the future, email us here. Read more about us.

Sign up or Invest in Blotout.

Thank you,
The Blotout team.

Privacy at the edge!

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