Alternative Data Newsletter #47 – 31st January

Key Highlights 

APAC Alternative Data Conference will be hosted on 2nd April in Hong Kong. J.P. Morgan will be the lead sponsor.
Reserve Your Place Now!

To Register please contact

Key Statistics for Hong Kong Conference:

  • 150 data buyers
  • 50 data providers
  • 15 trade prediction presentations
  • 600 1-on-1 meetings
Click Here To Access Agenda

January Vendor Solutions Webinar Recap

Ian Arvin CEO Innovative Quant Solutions, LLC and Tom Diamond, President, and Co-Founder of RS Metrics joined as guest speaker for our monthly vendor solutions webinar.

Key takeaways from Ian’s panel:

  • The more you know about your data, the more confident buyers will be
  • Understand the value- Where is it? What is it? Why do they need your data?
  • Make backtests, whitepapers, and case studies available to hand out.

Key takeaways from Tom’s panel:

  • Do not overpromise value and results, focus on small wins.
  • For hedge funds, try to sell products.
  • For corporates, be patient and work within their process, they will be a sticky customer.

Alpha Sales Signal

  • Analysis of Apple’s recently reported quarter proves the predictive power of alternative data, as highlighted in recent Eagle Alpha reports. We had highlighted the positive trends in the Sales Signal indicator for Apple, based on online search data. Eagle Alpha analysis of social media and online search data at the time of the iPhone 11 launch highlighted a strong demand for the iPhone 11 over the Max and Pro. We were also cautious about Apple services in general and also Apple TV+, which turned out to be the case in the December quarter.

Reach out to to learn more.

Active Data Requests

    • A point in time sources for economic forecasts.
    • Shipping/trade data.
    • Satellite and geo dataset having the US as coverage. US satellite image data providers for car counts in parking lots.
    • Consumer transaction dataset having the US and Japan as coverage.
    • Data that can measure/verify traffic to Luckin stores in China.
    • Company description data capturing industry classification.
    • Data that gives insights on success/failure of competing fibre rollouts and their ROIs.
    • 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).

    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

  • California estimates a spend of $55 billion by companies to comply with the California Consumer Privacy Act. This has raised opportunities for tool providers and start-ups to create tools to capture and retrieve customer data. “That’s a problem for a lot of companies, who may simply not have the tools to process all of their customer data across various systems and software and put it into a tidy report, let alone delete all of it as required by the law. For tech companies that specialize in data management, then, this could be a boon.” Click here to read the article.
  • JP Morgan launched its new London based research center to expand its capabilities into machine learning and artificial intelligence. Chak Wong has been hired to supervise the team at the Machine Learning Centre of Excellence (ML CoE) in London. “The bank hopes the expansion of the machine learning center to Europe will accelerate the deployment of the technology in regions outside of the US.” Click here to read the article.
  • Recently Earnest Research has acquired Alpha Hat to enhance its consumer transaction data products. “After evaluating numerous providers, we found Alpha Hat’s team and proprietary methodologies to be of the highest quality and accuracy and a great complement to Earnest’s product suite.” said Earnest Founder and CEO, Kevin Carson. Click here to read the article.

Events You Should Attend

  • 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 to register your interest for the event.