Forest Fire Prevention Derivatives, CrowdDoing, Volunteer Marketing Analyst

Forest Fire Prevention Derivatives, CrowdDoing, Volunteer Marketing Analyst

Forest Fire Prevention Derivatives, CrowdDoing, Volunteer Marketing Analyst.

• See more detailed background on CrowdDoing's forest fire prevention derivatives
• https://drive.google.com/file/d/1dBp_HUr-tCCNaeGoSDfPrirRPbaoV3X4/view?usp=sharing

Forest Fire Risk Prevention Derivatives in Northern California

Bobby Fishkin, lead author

In 2018, Sacramento was named the "the Most Polluted City on Earth" due to "smoke from Camp Fire," This proposal aims to prevent that from happening again through adopting a systemic approach and collaborating with stakeholders to actively prevent future such events. The insurance industry, along with institutional chief risk officers, have begun to recognize the importance of moving from "loss compensation to loss prevention."

CrowdDoing and Project Heather propose launching a prevention derivative with two new stakeholders: (a) contingent payers who pay in proportion to the reduction in risk, and (b) impact investors who finance social innovations in which their return is similarly proportional to the reduction in risk. It will build on existing precedents for contingent contracts involving social- innovation-based risk prevention.

Forest Fire Prevention Derivatives, CrowdDoing, Volunteer Actuary

A spectrum of forest fire risk prevention approaches are available: from creative new social innovations to well-established interventions.The forest fire risk prevention derivative would first survey existing forest fire prevention interventions in Greater Sacramento with an eye towards which ones might be suitable to support and expand. It would then review global social innovations that might be relevant to Northern California to determine which to replicate. Entities involved in risk management and risk securitisation, from insurers to reinsurers to retrocessionaires, ought to welcome the chance to share liability proportionally through a commons of prevention innovations. The prevention derivative can expand as more institutions and individuals join as contingent payers and impact investors in order prevent a larger portion of collective risk. Payments by private and public institutions to support prevention derivatives can be in-kind, through services, and/or financial.

We are looking for a Marketing Analyst who’ll research and identify ways to build our brand and acquire new clients.

Marketing Analyst responsibilities include tracking advertising costs, researching consumer behavior and exploring market trends and opportunities. To be successful in this role, you should have experience with social media campaigns and be comfortable with processing and analyzing marketing data.

Ultimately, you will help us ensure we spend our marketing growth hacking efficiently and we target our audience through successful campaigns.

Forest Fire Prevention Derivatives, CrowdDoing, Volunteer Marketing Analyst Responsibilities

• Analyze sales funnels and customer intent
• Measure ROI of online and offline advertising campaigns
• Report on marketing KPIs like leads, conversion rates, website traffic and social media engagement
• Track email campaign metrics (delivery, open, click-through rates)
• Monitor budget distribution and performance of paid ad campaigns
• Conduct competitive research and analyze benchmarking data
• Recommend website and campaign optimizations
• Research and implement marketing tools to support our promotional projects (automation software, social media scheduling etc)
• Work closely with sales and marketing teams to identify opportunities for new client acquisition

Forest Fire Prevention Derivatives, CrowdDoing, Volunteer Marketing Analyst Requirements

• Work experience as a Marketing Analyst or similar role
• Expertise in Google Analytics
• In-depth understanding of SEM campaign strategies and SEO practices
• Experience with PPC campaigns
• Good knowledge of MS Excel
• Analytical abilities
• BSc in Marketing or relevant field

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