Companies in the Gaming space (Studios or Publishers) constantly do market research & user research to:
This research is very difficult as these companies have their own data and some data from companies like NPD, Newzoo, Mscience etc. but that isnt enough because:
Yugen.ai developed a market intelligence platform tailored to their requirements, which enabled them to perform real-time analytics and has event-based analysis capabilities to gain deeper insights into their game's performance and player behaviour.
We gather data from various sources like Steam & Xbox to give these companies distilled information of:
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Some screenshots of the product are being shown below:
This view enables the user to find games which are trending & leading the charts for various KPIs. This can not only be used to find games which are popular in terms of DAUs but also those which are smaller in scale but have really good retention metrics.
This view enables the user to view historical trends of different KPIs for a particular game. This also enables them to view any metadata related to a game like their genres, key features, languages supported, system requirements, release dates etc. The trend charts in the dashboard enable the user to see patterns in Active Users, Retention Metrics, Concurrent Users, Review Scores etc. by user segments & at a Daily / Weekly / Monthly level.
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This view enables the user to compare prices of different games or SKUs over time. This is important to understand not only the price gap between various SKUs but also to track when various promotions were rolled out, so that their impact on engagement can be teased out.
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This view enables a user to choose and compare some KPIs between 2 or more games.
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This view enables the user to select various events / announcements & releases by gaming companies and analyze their impact on a particular game's KPIs. The event tracking here has an inbuilt intelligence layer where events like metadata changes, new language support etc. as well which are not released by press are also tracked and added over time.
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This view enables the user to understand where their players are coming from and where are they going to. This helps them create better acquisition strategies by targeting more relevant players while this also helps them build reactivation strategies by planning to introduce features & game-modes which mimick the other games that players were interested in.
This view also has an extended version where we show other metrics like how much time are various customer segments spending on you vs your competitors etc.
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Initially the users face some challenges with using the platform due to complexities involved and the stages are based on increasing maturity levels of adoption. With increasing level of maturity, the questions they have and their use-cases also increase and they start using this platform to get inputs for various other tasks as well.
We have 2 customers in the POC stage requesting integration of new data sources like E-sports data, streaming data & mobile data.
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Questions | Lumikai | Galaxy Interactive | Maker's Fund | Tencent | MGVC | Lego Ventuers | Hiro Capital |
---|---|---|---|---|---|---|---|
Do goals align? | 1 | 0.5 | 0.5 | 1 | 0.5 | 1 | 0.5 |
Do we have customer requests | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Does our ICP match | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Will our brand image improve | 1 | 1 | 1 | 1 | 0.5 | 1 | 1 |
Do our brand values match | 1 | 0.5 | 0.5 | 0 | 0 | 0.5 | 0.5 |
Can I increase the price of my product after the partnership? | 0 | 0 | 0 | 1 | 0 | 0.5 | 0 |
Will the partnership let me enter new markets? | 1 | 0.5 | 0.5 | 1 | 0.5 | 1 | 0.5 |
Score | 5 | 3.5 | 3.5 | 5 | 2.5 | 5 | 3.5 |
​
Finalized List of partners:
​
Contenders | High Intent to make partnership successful? | Alignment of motives with you? | Are they likely to respond quickly? | Have they worked on partnerships in the past? | Would they have the bandwidth to pull off the partnership? | Can they align various stakeholders & teams to build the partnership? | Score |
---|---|---|---|---|---|---|---|
1 | 1 | 0.5 | 0.5 | 0 | 1 | 4 | |
0.5 | 0.5 | 0.5 | 0.5 | 0.5 | 0.5 | 3 | |
0.5 | 0.5 | 0 | 0.5 | 0 | 1 | 2.5 |
Subject: Enhance Gaming Insights for your Portfolio Companies
Dear Salone,
I'm Aayush, a Co-Founder at Yugen.ai. We are working with Studios & Publishers like Sony Playstation, Bungie & Scopely to empower their teams & decision makers with our Market Intelligence Tool.
In the dynamic world of gaming, understanding how your games stack up against competitors is crucial for success. Our platform, Speedily provides comprehensive insights into your game's performance in terms of user engagement on platforms like Steam & Xbox, allowing you to make data-driven decisions to drive engagement and retention.
Reaching out to you feels like an obvious choice as Lumikai is the pioneer of VC investing in Gaming space in India. I myself have worked in this industry for years now and I'd like us to explore synergies for partnership to take our gaming studios to the next level!
Would you be available for a brief call or meeting to discuss further? Please let us know a convenient time, and we'll be happy to accommodate. We look forward to the opportunity to collaborate and be a part of your success story in the gaming industry.
​
FES Job Matrix:
F - Functional - Enabling their portfolio companies to make better decisions & be more competitor ready
E - Emotional - being associated with us (having very little brand value), might not be what they want. So instead sharing some valuable resources with them could help overcome this.
S - Social - They want to be seen as leaders in this space who know about it. Sharing some insights could make for an interesting conversation.
I'd like to use Linkedin & Email as the 2 primary channels of outreach. In case they dont revert, I'd like to try and publish some gaming related content on Linkedin and have some of my mutual connects tag them or share it with them, which can then become a premise for conversaation.
Partner's current goals:
Our reasoning for goal alignment:
Competitive analysis:
Value Prop:
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