Data/Mar-Tech/Ad-Tech and loving life. Making things happen @optery Likes: technology, media, traveling, food, New York Giants, trance music.
Joined July 2009
- Tweets 1,423
- Following 177
- Followers 183
- Likes 181
13 Photos and videos
13 Apr 2025
@HIVIBECHI - your website claims to allow nationwide shipping but gives no such option. Do you actually ship beyond Chicago?
36
13 Apr 2025
@HIVIBECHI - your website says select nationwide delivery but then doesn’t let you select if. Do you actually deliver outside of Chciago?
42
@Optery in @BusinessInsider today as one of 30 startups most likely to become a unicorn. The list was generated by TRAC’s 'Moneyball for VC' AI model. Optery has grown 3X or more every year since 2021. Nice the AI was smart enough to recognize our work!
businessinsider.com/startups…
1
3
10
349
Introducing AI Powered Removals Reports - a new optional, opt-in feature from @Optery utilizing @OpenAI GPT-4o for increased accuracy and removals effectiveness from data brokers: optery.com/introducing-ai-po…
1
4
6
354
@Optery response to @ConsumerReports reporting critical of people-search site removal services, we felt the study was well intentioned, but poorly designed, misleading in its conclusions, and ultimately the source of misinformation. Full statement here: optery.com/optery-statement-…
5
8
353
@Optery named a winner on @FastCompany's Next Big Things in Tech! The recognition highlights Optery's innovative approach to data protection for individuals & enterprises. We're humbled to be recognized alongside iconic companies @GitHub, @NVIDIA, @Disney. fastcompany.com/90979304/nex…
1
9
28
16,700
10 Jul 2023
Let’s goooooooooo!
The @Optery team is growing! @PaulMand joins as GM of Optery for Business, our platform for enterprises to automatically remove employee data from data brokers, and we couldn't be luckier that @ht4ch has joined as VP of Finance and Operations! finance.yahoo.com/news/opter…
1
64
Paul Mander retweeted
11 May 2022
.@mParticle unveils tools to help brands build customer journeys bit.ly/3PpTLDI
2
2
Paul Mander retweeted
23 Mar 2022
Take the first step in tackling data chaos and learn how to build a data-driven culture at your organization: bit.ly/3tvKscf
3
15
28 Feb 2022
I'm excited to share that in the second installment of mParticle's Women in Leadership series, we highlight one of the best leaders I've been fortunate enough to work with - Jillian Burnett, SVP of Customer Success at mParticle. bit.ly/3prsfKq
2
9
17 Feb 2022
If your goal is to use customer data to deliver personalized, privacy-compliant customer experiences at scale, here are three identity resolution mistakes you need to avoid. bit.ly/3rYchsQ
1
Paul Mander retweeted
20 Jan 2022
Indicative’s acquisition by @mParticle is about accelerating our joint mission of reducing the time it takes for you to get value out of your data. bit.ly/3qly1yk
#dataanalytics
2
1
12 Jan 2022
mParticle has acquired Indicative, a customer journey analytics platform, to help teams integrate customer data directly from their data warehouse and improve customer journeys! bit.ly/3GtDSY4
1
6
New “York” Math
8 Aug 2016
To convert Fahrenheit to Celsius, know that -10C is 14F, and then follow the NYC MTA 6 stops uptown. (Via Craig NM)
1
4
20 Dec 2021
We're extremely excited to welcome Reshma Saujani, founder of Girls Who Code and The Marshall Plan for Moms, to mParticle's Board of Directors! bit.ly/3yJECVG
3
14 Dec 2021
I'll be at CES and would love to catch up (DM me). If you're looking to learn more about how mParticle can help you improve your customer experience, use the link to book some time with our team!: bit.ly/31OIhpn
3
30 Nov 2021
In ep 3 of “Connected, by mParticle” we welcome Miguel Navarro, digital transformation leader and patented inventor. Miguel shares great insights on how organizations can leverage emerging platforms and where to find the best wild mushroom risotto in NJ bit.ly/319sn8d
1
15 Nov 2021
Access to better data = better decisions. The way data is made available and where it is stored is critical to success. This article breaks down the difference between data lakes and data warehouses and when to use each for data storage bit.ly/3owch0r
3