Alternative Data Newsletter #46 – 24th January

Key Highlights 

Join our guest speakers Ian Arvin and Tom Diamond, to gain key insights into how to succeed in the alternative data space. The webinar will be hosted at 11:30 am ET on the 30th of January.

To Register please contact dataenquiries@eaglealpha.com

Webinar Agenda

  • Ian Arvin is the founder and CEO of Innovative Quant Solutions, LLC. Ian has extensively worked with Alternative Data Providers, Hedge Funds, Institutional Asset Managers, and authored forensic white papers.
  • Our second panelist  Tom Diamond, President, and Co-Founder of RS Metrics . Tom will talk through the challenges, overcoming barriers to selling to the buy-side and understanding what mean success to the buy-side.

NYC Conference Recap

  • Pre-conference vendor workshop on 15th January
  • 800 registered attendees
  • 2500, 1-on-1 sales meetings between data vendors and data buyers
  • 500 buyers from buy-side firms, PE firms, and corporates
  • 5 content streams: 1-on-1s, buy-side, PE, Corporates, and expert hub
  • 30 roundtables led by experts

NYC Conference Testimonials

  • ‘Crash course on pitching buy-side for the now 800 registered participants for tomorrow’s Eagle Alpha event in New York.’ Bonnie Lyn de Bartok, Founder and CEO at S Factor Co.’
  • ‘Started off 2020 with yet another great event hosted by Eagle Alpha in the city that never sleeps. Don’t sleep on our innovation data – “data is an asset”.’- My AnhPatenstsight
  • Eagle Alpha 2020, kicking off a full dance card with financials. Doug Laney  keynote, expands on the novel ‘data is an asset’.- Mathew Varghese, Director Financial Services, YouGov

 

Active Data Requests

  • Web traffic data providers for Europe, Latam, and the USA.
  • Data that helps to understand ad-buy costs and trends on social media platforms like Facebook or Instagram
  • The consumer of future data having coverage in the US, UK, Germany, China, India, and Indonesia:
    • Consumer influence in their decision journey (e.g., by family, influencers, artificial intelligence, exposure to marketing) and how will this evolve:
      • The different paths people take to purchase various consumer goods categories through digital marketing, word of mouth, etc. It could be a combination of web panel data, ad data, surveys/consumer insight, social, and technographic data.
    • Driving factor behind consumption decision in this sector (e.g. channel, occasions, physical need):
      • Sources that share purchasing patterns across categories of consumer goods (at the merchant or SKU level) coupled with intent signals/surveys
    • Channel dynamics evolve in this sector and who will have the main access to the consumer (e.g., offline vs Omni, platforms, marketplaces/access over ownership, etc.):
      • Sources that can tell  which channels are used to purchase specific SKUs by different types of demographics over time and the emergence of different channels over time (eg: The number of second-hand marketplace websites over time for shoes/bags)
    • Consumers expect their buying experience to be, what will be the expectation on a seamless experience:
      • Readily available market research data
    • Purchases that the consumer value and still pay attention to, what purchases will be viewed to have lower relevance and receive a different behavior, (e.g., be delegated to AI-powered assistants).
  • Healthcare data to predict earnings for life science companies capturing:
    • Pharma and device manufacturers
    • Hospitals and insurers in the US
    • Clinical trial data
  • Healthcare data to measure unit sales, market share, therapy switches, patient outcomes or quality of care:
    • Data on hospital billing or electronic medical record
    • Extract prescription and medical claims
  • Data to track Gross Merchandise Value (GMV) on Japanese e-commerce websites like PayPay Mall.
  • Tracking data for Green Doy and Trupanion

 Login to your Eagle Alpha account and update your dataset product information to generate exposure to the buy-side funds. If you do not have an Eagle Alpha account yet you can create one free of charge at the following link and market your product to the top investment funds. 

Industry Intel

  • Senators from Senate Finance and Banking committees have demanded an investigation on Envestnet for violating the law by selling personal data recklessly. ‘They expressed concern that Envestnet does not adequately notify consumers that their personal financial data is being sold to third parties, therefore violating the FTC Act’s prohibitions against unfair and deceptive practices.’ Click here to read the article.
  • Thinknum in its recent publication used alternative data to answer why Gap changed its decision to keep Old Navy under its brand umbrella, which saw an increase in Gap stocks. While Gap’s store count kept declining, Old Navy stores witnessed a 10% rise in store count, a spin-off from Old Navy would have meant driving away from the revenue. ‘Still, there are other Gap subsidiaries – as well as the flagship company – that are seeing store count decline. Banana Republic store count, shown above, is down about 12% over a four-year period, and Gap stores’ footprint shrunk (not shown) fell a whopping 20% over the same timeframe.’ Click here to read the article.

Events You Should Attend

Webinar
  • The thirteenth edition of Vendor Solutions Webinar is on January 30th, at 11.30 am ET – 12.30 pm ET.
  • The fourteenth edition of Vendor Solutions Webinar is on February 27th, at 11.30 am ET – 12.30 pm ET.

Alternative Data Conference

  • Hong Kong Conference on 2nd April.

Contact dataenquiries@eaglealpha.com to register your interest for the event.