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How would you monetize the data collected from Tesla cars as more users adopt and drive electric vehicles?

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Product Description:

Tesla cars - Tesla holds the top position and serves as a pioneering electric car manufacturer worldwide. Its primary mission is to reduce environmental pollution by harnessing sustainable energy sources, with significant positive effects on consumers' budgets.


Objective:

I consistently employ the AAAERRR framework when defining objectives, such as Acquisition and Activation. When it comes to Tesla, their strong presence and widespread popularity indicate that they don't encounter significant challenges in terms of awareness, acquisition, or activation. Therefore, my primary goal is to devise revenue-generating strategies by harnessing the extensive data resources at our disposal. This data is made accessible by the high levels of engagement and product retention, with the product in this case being cars mainly.
 

Clarification Questions:

Q: What do you mean by "data"? Does it refer exclusively to digital data, or can it encompass any type of information?

Interviewer: Any type of data
 

Q: When we mention "monetize," are we open to various revenue streams, or is a digital-first approach preferred?

Interviewer: Any revenue-generating opportunities are welcome.

 

Q: What is the current company status? Are we observing any decline in revenue or user growth or increase in competition?

Interviewer: Yes.

 

User Groups:

On the consumer side:

1. Individuals - They require Tesla cars for various purposes, such as commuting to work, shopping, vacations, going to the movies, visiting family members, and more.

2. Corporates - Companies may need Tesla vehicles for employee transportation, including pick and drop services, out-of-town travel, airport transportation, and similar services.

On the business side:

1. Key Manufacturers (small or large) - Tesla may source certain components from manufacturers like Samsung, Sony, etc for their vehicles.


APPROACH:

To start with, I'll begin with a SWO of SWOT analysis to gain insight into the company's few existing strengths and weaknesses before I explore potential opportunities

Strengths:

1. High-quality product range, including cars and solar power solutions.
2. Commitment to technical innovation, continually investing in new ventures like Solar Roof technology.
3. Boasts a vast and loyal consumer base.
4. Outstanding product performance
5. Significant market share in the electric vehicle sector.
6. Holds numerous valuable patents.
7. Strong data resources.

 

Weaknesses:

1. Limited dealership network affecting the supply chain.
2. Performance issues in certain areas, such as steering wheel and navigation systems.
3. While market share in electric vehicles is strong, the overall market share (including non-electric vehicles) is comparatively weaker.
4. Limited utilization of available data
5. Competition


Opportunities (strategies):
 

1. Customized Collaborations with Retailers:

  • Tesla has data demonstrating its ability to generate billions in revenue through limited 130 stores, bypassing traditional dealerships.
  • By offering comprehensive training to distributor sales teams, Tesla can broaden its reach by partnering with a network of dealers.
  • Expanding to over 5,000+ distributors would increase market access, even if per-car profit margins decrease but is compensating with the help of volume

 

2: Personalised collaborations with Corporations: Given that businesses often require vehicles for their workforce, Tesla possesses data indicating how many employees within a single company own Tesla vehicles. For instance, out of Google's 25,000 employees, it may be known that 1,000 own Teslas. In light of this, there are three potential initiatives:

 

  • Firstly, Tesla can promote the installation of charging stations by presenting data to Google, illustrating the number of employees who own Teslas. This data can be used to convince Google to provide these stations for a convenient employee experience.
  • Secondly, Tesla can explore strategic alliances with Google by offering special discounts to Google employees. Leveraging their data, Tesla can tailor these discounts to align with the preferences of Google's employees, strengthening the appeal of Tesla vehicles.
  • Collaborating with established ride-sharing companies like Uber and Lyft: Given Tesla's commitment to reducing environmental impact and promoting sustainability, this collaboration aligns with their mission to make the Earth more environmentally friendly. IMO, this is happening but not extensively

 

3. Tesla's Expansion into New Markets:

  •  Utilizing customer profiles and data from existing markets to identify regions where similar customer profiles are prevalent.
  • Targeting "lookalike" markets for expansion, aligning with Tesla's brand presence and strategy.

 

4. Small fee subscription based model - Brand Enhancement and User Recommendations:

  • Leveraging data on user locations and their activities to create a recommendation engine.
  • Providing individualized suggestions to Tesla owners, such as optimal times to visit certain places and potential time and money-saving tips.
  • Collaborating with various retailers, including online platforms like Amazon, offline stores like Walmart and Lowe's, and others, to offer discounts and coupons generated through real-time data analysis.
  • In-Car Services Marketplace: Create an in-car app store where Tesla owners can access and subscribe to various services like productivity apps, entertainment content, and more, generating revenue through revenue-sharing agreements with app developers

 

5. Introduction of Tesla Electric Motorbikes:

  • Identifying regions with a strong Tesla brand presence and market share.
  • Expanding into the two-wheeler electric motorbike segment, in response to changing consumer preferences and the shift away from traditional gasoline-powered motorcycles.
     

6. Potential Merger & Acquisition Initiatives:

  •  Recognizing the growing competition in the electric vehicle market, Tesla may explore merger and acquisition opportunities with smaller companies that align with its objectives.
  • This could facilitate production and market expansion while maintaining Tesla's leadership.


Priorities along with Pros and cons:

PriorityStrategyProsCons
P0Strategy 4User Experience, Less effort, Seamless executionCompetition (less % in competition due to strong brand loyalty)
P1Strategy 2User Experience, Killing competitionEffort and Execution
P2Strategy 5User Experience, Revenue, ExecutionCompetition, Effort
P3Strategy 6Killing competition, Less Effort, ExecutionUser experience (potential impact from merging departments)
P4Strategy 3User ExperienceEffort, Execution, Competition (EBITDA, Margins, Competitive landscape)
P5Strategy 1User Experience, ExecutionEffort, Alignment with leadership (Musk and team response), Competition


Summary:

Given the nascent stage of the EV market, it is crucial to give priority to revenue strategies that emphasize enhancing User Experience. This entails concentrating on strategies that can make the most of the existing user base and are pertinent to them, including the implementation of a Subscription model, personalized partnerships with corporations, and introducing electric motorbikes in relevant markets.

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badge Platinum PM

Thanks for posting your answer. Great work thinking about Tesla's strengths and weaknesses at first and then going down the opportunities path. 

I think some of the strategic choices you've listed are not directly relevant to monetizing data. It's sometimes easy to deviate from the main theme of the question (in this case, leveraging data in the context of electric vhicles). For example, 1, 5, 6 might be less relevant. I wouldn't have listed anything that's not enabled by leveraging data. 

A good example of a monetization enabled by data is insurance services. One can argue that given Tesla's large volume of data on driver behavior, they can offer better competitve insurance packages that are price-adjusted given the driver's driving habits and their state of AI (even real time insurance rate depending on whether conditions?). It's a monetization strategy that's really enabled because of data.  

3
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badge Gold PM

A few clarification/assumptions for the start,

  • I'm assuming the role of PM with Tesla. 
  • Is there any particular objective here, from the looks of it looks like revenue is the objective but apart from that any particular objective?
    (Interviewer says go ahead with Revenue)
  • For the sake of discussion, I'm assuming the Geography is India. (Interviewer nods along)
  • What is the end goal for Tesla here? I believe the end goal is to push entire world towards sustainability. (Interviewer: OK)
Going ahead, understanding the EV ecosystem is very nascent in India. Govt. is incentivizing people to move toward electric vehicle but the infrastructure seems to lag i.e., charging stations, power supply and so on. However, Tesla has demonstrated is prowess in North America and Europe region and there's already a hype created around Tesla cars even before they have launched Indian version of Tesla. Indian 4 wheeler market is occupied by major domestic players like Tata, Mahindra, Maruti and other international players like Hyundai, Honda, Volkswagen to name a few. EV market is projected to pick up rapidly in the coming days. 
 
Check with the interviewer if there's any possible link missing that needs to be considered here. (Interviewer seems fine to go ahead)
 
I'd then want to look at major challenges that the EV ecosystem faces today, within the ecosystem what challenges are faced by drivers and manufacturers.
 
  1. Owner needs a higher safety aspect with EV cars
  2. Owner wants a smooth driving experience with EV cars
  3. Owner wants to know if they get a better range with EV cars
  4. The owner wants to reduce the hassle of maintenance of the car and regular updates as the entire ecosystem is new
  5. The owner wants to understand when, where, or how much charging is required
  6. OEM would want to provide a rich experience to the owner
  7. OEM would want to reduce any after-incidents that bring them in a bad light
Check with the interviewer if there's anything else that is important and is missed
Based on the above points, I'd like to prioritize a few needs. I'd like to see if any need is urgent and frequent.
 
Concerning the owner, I'd want to prioritize 1 and 2. As Tesla's pricing would be somewhere in the premium category >= 20 lakhs on road car price owners care about experience and safety aspects more. Concerning OEMs, I'd see point 7 that needs to be addressed, as we've seen some incidents in the past and how it hampers the brand (Ola's 2-wheeler was in the news sometime back, for this exact reason).
 
Prioritized pain points:
  • I want improved safety aspects
  • I want a rich driving experience 
  • OEMs want to reduce after-sale incidents
Brainstorm a few solutions around the same needs.
  • Auto braking and steering assist during emergencies? There has to be a manual over-ride for the same, but 
  • When to active airbags at what angle considering the impact to minimize damage?
  • Driver fatigue or emergency, how to detect that and navigate the car?
  • Shift or auto-shift driving modes based on the road and traffic condition
  • Auto-detect potential issues ahead of time and warn drivers of the same
Based on the above points, I can suggest some model that I can sell to other EVs, I can keep validating and improving my models based on the data received.

Some example of the model that I can suggest:
  • Diagnose when there could be a potential engine malfunction
  • Detect drivers pulse and eyes, in case they get unconscious need to take over driving and park the car. Also inform the family, friends and authorities on the same
  • If there's any potential accident going to happen, judge the impact and based on that provide additional safety measures like assist steering and open more air bags and so on
  • Sometimes driving in traffic could be really taxing, having a system which detects that traffic is there to stay and hence take over the responsibility from the driver for next 30-40 mins till the time traffic condition eases (thinking of tier 1, most populated and traffic cities in India)
 
Summarize this entire approach and check with the interviewer.

Looking for a review/feedback on the same. Thanks!
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