Name of project:
Proposal in one sentence:
The objective of this proposal is to on-board quality data into the Ocean ecosystem.
Description of the project and the problem it’s solving:
Ocean data markets are in their infancy and while they have a lot of potential there is still a lot of work to do before Ocean markets can begin realising their true potential. Part of achieving this potential is increasing the amount of quality data available on Ocean markets.
This proposal will experiment with industry standard online marketing techniques to on-board new data into Ocean markets with a focus on targeting Web3 related data providers.
A market segment will be identified (data supplier) for testing the funnel. Appropriate advertising material will be created for the funnel with the goal of identifying some leads (data suppliers for Ocean Markets).
- Create relevant advertising material (i.e. ads &/or articles &/or landing pages)
- Create and run ad campaign
- Collect and share key performance metrics as part of proposal ‘wrap up’.
Which Category best describes your project?
Which fundamental metric best describes your project?
- Datatoken contracts
What is the final product?
The first iteration of an on-boarding funnel using digital channels (e.g. social media, google adwords etc. depending on what’s determined to be the right fit for the audience) targeting a defined market segment (Web3 data suppliers) with an appropriate offering (on-boarding them to the value Ocean data markets can offer them).
If this work can generate 5 new leads for data suppliers and each data supplier is to share 3 data sets, then that would contribute 15 new data sets to Ocean data markets.
15 data sets with an estimated TVL of $10,000 per data set is $150,000 TVL.
Assuming that creating this on-boarding funnel contributed 40% towards achieving the above goal (as the funnel should become more effective as time goes by due to the ability for us to acquire data and improve the approach through subsequent iterations), then 40% of $150,000 = $60,000 potential TVL.
Allowing for a 75% chance of success and ask of $15,000 ($3-5k to be spent on advertising space) the ROI is as follows:
Bang = $60,000
Buck = $15,000 USD (assuming $OCEAN = $0.50 USD, $OCEAN requested = 30,000)
Chance of Success = 75%
ROI = 60,000/15,000 * 75% = 3
Have you previously received a DAO grant?
- Enterprise business development, contract negotiations and sales
- Software product development
- Communications and Marketing
- Web3 experience: 5 Years
Proposal Wallet Address
PART 2 - PROPOSAL DETAILS
- A proposal wrap up (summary blog post/article) about activity done and key findings of this proposal will be shared once the project is complete.
- This will include links to (examples of) advertising material that was created and shared. This may include articles, landing pages, images, posts or a combination of the above.
- This will show key performance metrics and learnings of the advertising material.
- The objective is to generate some active leads for data suppliers. While this cannot be guaranteed (as the work will be time bound) we would like to think this proposal will result in generating new data supplier leads.
Prior Work Completed thus far
I have completed one proposal so far (joint proposal). Details here [PROPOSAL] Go to Market Analysis
I am also contributing some hours towards rugpullindex - findings from previous rugpullindex work can be seen here https://rugpullindex.com/blog#GeneratingvaluableinsightsfromspeakingwithRPIusers
This is my first proposal as the sole contributor. I am open to contributing towards more joint proposals (like GTM analysis) in the future.
If this iteration of the on-boarding funnel can successfully generate some leads for promising data suppliers I will look to continue to apply for funding to:
- Optimise/improve the funnel (subsequent iterations)
- Continue running the campaign (e.g. buying advertising space). Ideally this funnel will grow and mature into a reliable source of new data supplier leads that can be ‘turned on’ and ‘turned off’ as more data suppliers are required.