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Copyright Lisa Clarke
There has been a lot of chatter on the Internets about unbundling of mobile apps. Tech media’s interest has been piqued by some larger brands jumping onto this bandwagon – examples include Microsoft, Twitter and Foursquare.
It’s not a new strategy. Featurephone apps companies used this for a long time. Several smartphone app publishers have had an owned & operated network of apps right from the beginning – examples include Zynga, King, Supercell, Smule and Outfit7. Incumbent media companies like CBS, News Corp, Viacom, Time Warner, Walt Disney and (in India) Times Internet have also had these networks for a while. Established Internet companies like Facebook and Google have had networks, built organically and through acquisition.
I think unbundling is a strategy that has not yet been applied with vigor in the emerging markets on smartphones. I think there are potentially disproportionate advantages to be had by unbundling in countries like India, in the short- to medium-term. Why is this? Because low device memory limits (typically less than 16 Gb), low bandwidth limits (mostly 2G) and relatively high bandwidth prices result in dramatic drops in conversion rates, download success rates and retention rates as app size increases. Also, in my opinion, discovery on the app stores is easier when there is a single focused value prop (kind of the approach that Whatsapp has taken with a singular focus on messaging).
Conversion rates drop with package size. Below is data from a global mobile analytics and advertising vendor. Data is global and is an average across all advertising products.
|App Size||Conversion rate|
Download success rate is nowhere near 100% (even on Android). The graph below is from China. I would imagine that the drop-off in India is steeper, given the greater prevalence of 2G and higher proportion of lower-end phones.
Retention rates drop with larger file size. Large apps are 33% less likely to be retained after 1 month although iOS users are 12% more likely to retain an app than Android users, according to Flurry.
App sizes vary by app type and platform. Below is some data I gathered from the iOS and Play stores. Basic utilities are 1-10MBs. Communications and social media apps are 20-30MB. Most casual games are 40-50MB. Most mid-core games are 300-800MB. From my not-so-scientific sample list below, Android apps are on average 37% smaller in package size than the iOS app from the same publisher.
So, what is an ideal app size, especially in markets like India with challenged infrastructure?
The ideal size is 10-15MB globally. Idea size for an app for tier 2/3 countries (like India) is below 5MB. 500MB+ is a non-starter. At 50MB+ the conversion rates fall off dramatically. On Android and iOS, conversion rates dip by 50% in tier 1 nations for non-game apps above 50MB. In tier 2 and tier 3 nations, conversion rates dip by 50% for games above 15MB.
To lower the cost of loyal customer acquisition (a function of conversion rate, download success rate and retention rate), unbundling in emerging markets makes positioning more clear and therefore discovery is easier, in my opinion. Unbundling also decreases the hits-driven nature of mobile apps businesses. And finally, cross-promotion within an owned & operated network of apps also dramatically reduces the cost of introducing a new app into the app network.
There is a cost to this strategy though. The engineering and products team now need to maintain multiple code-bases and roadmaps. Initially building out the network may required multiple marketing pushes and already strained marketing budgets may not be enough to get apps into into the high ranks on the app stores. Unpopular functionality, separated out into an app, will not get downloaded/used.
Some things to keep in mind if you are thinking about going down this route: You need to maintain a strong brand identity across all apps in the network to build company value and cross-promotion ability. Also need a common ID system to build and leverage customer data across multiple apps. And a good cross-promotion engine is needed. Tapjoy and Flurry are leaders in this category but there are lots of other options. To reduce app package size, you will need to rationalize your third-party SDKs, remove most heavy media files and reduce functionality dramatically.
[Published in NextBigWhat on May 19, 2014]
This blog post illustrates how products have used comparison and choice based user interactions to successfully reinvent consumer experience on mobile. The underlying concept is titled ‘Hot’ or ‘Not’, derived from the original website created by James Hong. ‘Hot’ or ‘Not’ is now used by many products including an accidental creation from an entrepreneur we all know very well.
Remember Facemash? – Facebook’s predecessor that asked visitors to choose between pictures of students placed side by side and decide which one was ‘Hot’ or ‘Not’. Facemash may have been a product of Mark’s intoxication…a joke…an experiment if you will. But as I see it, it could very well be a great product concept that can wow the consumer and exponentially increase engagement, especially on smart-phone devices. To illustrate this thought, let’s look at a few examples.
Tinder is a dating platform, which has used this concept and has been hugely successful. It lets you swipe ‘Liked’ or ‘Nope’ on images of women and men located close to you. So rather than answering a million questions on ‘Okcupid’ or ‘Match’ and relying on intelligent algorithms built by MIT/Stanford data scientists (who apparently understand dating), you just swipe on Tinder and get connected to people who have swiped ‘Liked’ for you as well. Simple, fun and it works!
What makes Tinder great and gives the application of ‘Hot’ or ‘Not’ credibility is the fact that it is absolutely frictionless. It connects people easily and instantly. Currently, Tinder gets 750 million swipes a day and makes more than 8 million matches. As compared to it, Okcupid, which is one of the most successful dating platforms, has 1 million daily users. Hence, far less matches when compared to Tinder.
Thumb is an app that lets you get or give opinions in real time. From asking people about their travel destination choices, to product preferences all the way up to soliciting opinions on love lives, Thumb transcends a host of categories. It quickly became an addition and a community before it merged with Ypulse. Though Thumb was not as successful as Tinder, it does represent the kind of exponential engagement ‘Hot’ or ‘Not’ type products concepts can derive.
Thumb reminds me of a show called “kaun banega crorepati” – the Indian version of “Who wants to be a millionaire?”, where the contestant can use a life line called the “audience poll” if he/she is unsure of the answer. And there are plenty of such situations, which are frequent in nature, where we need advice and we would rely on wisdom of the crowds rather than make the decision ourselves. Hence, presumably Thumb’s success was because the ‘Hot’ or ‘Not’ type product concept was applied to a simple real life problem encountered by every man and woman almost on a daily basis!
‘We heart it’ is an image based social network that has quickly grown to over 30 Million users serving 50 billion images per month. Users ‘Heart’ images that they love and put these images in their collections that are shared with their friends and followers.
‘We heart it’ is incredibly simple, yet a very powerful way for people, especially teens to express themselves – their personalities, feelings, preferences, opinions through images. Images based networks have existed for long (remember Flickr?) but they never achieved the kind of scale ‘We heart it’ has done. Secret to their massive and instant success – a simple application of ‘Hot’ or ‘Not.
Fad or science?
It is easy to pass this as a quirky fad. However, the concept of ‘Hot’ or ‘Not’ has deep routed scientific reasoning. For those who are familiar with market research techniques, would know Conjoint analysis to be a bedrock of research studies. The simple form on conjoint analysis asked consumers to rate and review products just like a lot of platforms on the web today. This was disrupted when CBC or Choice based conjoint came along and proved to be a much better alternative. CBC asked consumers to choose between different product or service concepts and say whether it is ‘Hot’ or ‘Not’. It was argued by scholars that CBC works well because that’s how human psychology works. It is natural and intuitive to choose, it is unnatural and much more difficult to rate. Also, the variance or the error in the latter was higher. For the curious souls, you can read about CBC here
‘Hot’ or ‘Not’ for Indian start-ups
Mobile is key to the growth of Indian start-ups. The mobile user is on the go, wants to be quick and fluid with his/her interactions with the device, does not like typing and is more visual. These aspects make it imperative for Indian start-ups to re-imagine their products for the mobile. Traditionally –
– Mobile products have been replications of web interfaces including the feature set and the sequencing of the user interactions
– The platform is not built around a single user input like a Pin, Thumb, Heart or Fancy. Instead, it is cluttered and asks users to do multiple things. For e.g. several buttons beneath an image asking the user to Comment, Like, Share and more.
This is where concepts like ‘Hot or ‘Not’ could help achieve a wow consumer experience and quick scale. – just like the examples illustrated in this post have done. Perhaps, soon we will see E-commerce sites moving to ‘choice’ from ‘browse’, Review/rating platforms giving up the age old 5 point rating system and new-age dating/marriage platforms innovating like Tinder.
If you think this article was ‘Hot’, feel free to write to me at email@example.com and/or visit the Lightspeed blog to leave a comment…Or just ‘Digg’ it.
The technology world has become a little bit flatter over the last ten years; the US monopoly on producing technology startups with impact outcomes has been broken. We have all seen impact product companies coming out of Europe, Israel, and China over the past decade.
These startups are leveraging new platforms and customer behaviors that were non-existent ten years ago, including platforms such as app stores, SaaS app marketplaces, smartphones, tablets, content marketing channels, social media, and embedded payment options; and new user behaviors such as self-service on-boarding, bottoms-up technology adoption in SMBs/enterprises, use of open source technologies, and search as a primary way to find new applications/technologies.
We believe it is now the right time for Indian product startups to step up to the global plate, especially in mobile applications, developer tools/enabling technologies, and SaaS for SMBs. There are already several examples of such companies, including Browserstack, Freshdesk, Helpshift, InMobi, Kayako, Nimbuzz, Simplify360, Webengage, Wingify and Zoho.
Investing with this theme, we are excited to partner with Chandan and Vaibhav at Phone Warrior to take mobile communications to the next level. What Wikipedia did to encylopedias and Waze did to radio road traffic reports and paper maps, namely disrupting existing businesses with community, real-time and mobile, Phone Warrior is doing to plain old phone calls and messaging. Phone Warrior’s user growth, retention and engagement in countries around the world over the past six months gives us confidence that they are well on their way to finding product-market fit.
Phone Warrior (incubated at 91Springboard) is building a globally-relevant cloud-based platform to crowd-source mobile phone numbers and turbo-charge the value of this data through big data techniques, graph search and machine learning. Through this platform, Phone Warrior powers an essential set of services that has grown rapidly over the past year and could get onto every mobile device in the world across all forms of communication including phone calls, text messaging and over-the-top IP-based messaging. Their product is currently visible on mobile devices through services such as caller-ID, spam blocking and call-blocking.
There is much more to come that leverages this core platform. We look forward to exciting times ahead with the Phone Warrior team.
Post Authors: @dkhare and @anshoo
[Also published on Medianama]
It has been only five years since the launch of the iPhone App Store in July 2008. Feels like fifty dog years. In reality this is not a long time, compared to nearly twenty years since the launches of Yahoo (February 1994), Amazon (July 1995) and the IPO of Netscape (August 1995). Over these twenty years, not only have startups innovated on product/design and business models and but also on demand generation/user acquisition strategies. Yet only five years after the launch of the App Store, the pace of innovation in mobile app user acquisition seems to have hit a brick wall… in the search for increasingly efficient methods of marketing, we seemed to have hit the efficient frontier.
In India, efficient user acquisition is a key problem area for developers targeting Indian users as well as global users. Fortunately, marketing has gone online, along with placement, onboarding, monetization and payments. And mobile marketing can be done at world-class levels right in India.
So, what is this efficient frontier? What are the best practices for mobile user acquisition?
To provide some concrete pointers, I organized several founders-only sessions on enterprise/SMB SaaS user acquisition as well as mobile user acquisition in Bangalore, Delhi and Mumbai. This month, I also organized and moderated a session on mobile user acquisition with TIE in Delhi. Our eminent panelists included Harinder Takhar (CEO of PayTM), Pathik Shah (Head of Growth, Hike), Jamshed Rajan (Chief Product Officer, Nimbuzz) and Chandan Gupta (founder/CEO of PhoneWarrior).
So here’s a summary of what we discussed – please note the tone of the conversation was more around hacks and learnings from practitioners as opposed to some over-arching strategic viewpoint on mobile user acquisition. Many of these tips fall into the non-scalable bucket but some are more scalable. I will leave it up to you to decide which is which. Also, it was assumed that developers were tracking efficiency of marketing campaigns and funnels through some form of app instrumentation, whether through commercial solutions like Mixpanel, Apsalar, Flurry, Google Analytics etc or home-grown analytics.
CONVENTIONAL PRE-MOBILE TECHNIQUES
These include traditional PR/media outreach, analyst relations, direct selling and tradeshows/conferences. These techniques are fairly inefficient and out-of-date for mobile apps as most target users/consumers are not reached through these means.
Blogs/websites: Chasing Techcrunch and other tech blogs does not have nearly the same effect it had a few years ago – previously, a post on Techcrunch could drive 50-100k visitors/downloads – now, this number is down to 100-500 downloads.
Vernacular newspapers: Targeting vernacular media outlets across India, as opposed to the English and Hindi dailies could provide some advantage. Regional language papers are hungry for technology news and can be quite effective in reaching regional audiences.
Localization: On a related note, for some apps, it makes sense to provide app store listings in several different languages, sometimes backed up by the product being localized as well but not necessarily.
TV: In India, it could be useful to get onto NDTV Cell Guru and other such shows. These media outlets also have Facebook, web, mobile and video assets to drive awareness.
Print: Some panelists had tried this. It does not have any meaningful impact on mobile app downloads.
Offline: Some panelists had tried stationing people on campus to get some initial adoption. It does not work and the message gets diluted/warped when temporary employees are hired to do this.
MOBILE 1.0 TECHNIQUES
These include OEM/mobile operator distribution, mobile advertising and search engine optimization (SEO).
A basic deterrent is app size – especially in Tier 2 towns and beyond, people are wary of downloading apps greater than 10MB in size. Really need to minimize app size.
Factory loading: Average OEM/carrier deals take 5-6 months at least and have to be positioned as helping the OEM/operator differentiate. Most OEMs are now looking at apps/services as revenue streams so this should be baked into the business case for them, perhaps as a rev-share. Some panelists mentioned Rs 5-10 per install as what Indian OEMs are asking for.
If the app is already factory-loaded onto the product, this doesn’t drive activation either – factory-loading has to be on the homescreen and accompanied by an above-the-line marketing campaign (e.g. advertising or logo on device box) preferably paid for and driven by the operator/OEM.
Some of the smaller/newer OS/OEMs providers are being more aggressive in courting developers. These include Tizen, Intel, Amazon, and Blackberry. If you build your app for these, you will maybe get an advantage and may get paid to build out on their platform. The flip-side, however, is that these platforms have small audiences and will most probably not drive a meaningful amount of downloads/usage. Panelists mentioned Parag Gupta at Amazon, Annie Mathew at Blackberry and Priyam Bose at Microsoft/Windows.
Mobile advertising: General consensus is that users acquired through paid advertising tend to be less loyal than users acquired organically. One exception may be advertising to users of competitor apps on Facebook and the use of promoted posts on FB. Panelists mentioned Google/Admob, Inmobi, Flurry, Tapjoy, Yieldmo, HasOffers etc.
Mobile advertising gets an initial burst of downloads to move up into the top rankings on the app stores and then some drip marketing is required to keep rankings high. Some people expressed an opinion that any burst marketing should be done on one day rather than over several days and perhaps should be done on a Friday so the boost in rankings persists over the weekend. The key is to get into the top 10.
One needs 100k-200k installs per day to get into the top of the charts in India. Can’t get there through paid advertising. Advertising is not cheap. Especially given the messaging wars between Line, WeChat, Whatsapp, Hike and others, mobile inventory seems to be sold out in India.
If you measure real CPI (i.e. CPI taking into account successful download rates, activiation rates and 3 or 6 month churn), actual cost of customer acquisition (CAC) ends up 4-10x as high as CPI quoted by ad networks. In India, iPhone CPIs are under Rs 120 ($2) and Android Rs 30 ($0.50) at low scale.
There are mediation layers from Flurry,
Hasoffers, Mopub and others available so that developers don’t have to integrate multiple ad network SDKs into their apps. All these SDK providers have their own ad networks but also connect with other ad networks. Meanwhile, publishers use SSPs to route between ad networks. It’s a complete spaghetti-like mess.
Incentivized downloads: Tapjoy/Flurry used to provide this but have moved away from this. Panelists urged developers to not even think about trying incentivized downloads as CPIs are high as are uninstall rates, given that users are downloading without any intent to use.
Search engine optimization: Most developers mentioned that web SEO did not work for them. Content on the web does not bring traffic from the web to the app stores. Some people mentioned content marketing e.g. blog posts and posting presentations on Slideshare as a way to drive some traffic.
Mobile web: Make sure you have a http://get.yourwebsiteURL.com mobile-optimized website up and running. Apple and Android have special HTML widgets to include here that you insert once you know the OS of the device (through the header). These widgets redirect to the relevant app in the relevant app store.
Social media is not very effective for user growth. It is somewhat effective for engaging existing users as well as a support channel. Adding social network sharing within apps does generate some virality, especially if sharing is encouraged at points within the app where users get a delightful experience. Apps with social as their core may benefit from Facebook, including automated actions posting to Facebook (e.g. ‘read’ or ‘play’).
Virality: Startups should track their k-factor/viral-factor and viral cycle time. Even a k-factor of 0.2 really helps if it can be sustained over several months/years. A viral factor anywhere close to or greater than 1 is phenomenal but can only be sustained for a short period of time.
MOBILE 2.0 TECHNIQUES
App store optimization (ASO): The panel talked about platform stores (like Google Play, iOS App Store, Blackberry App World and Amazon), indie stores (like Getjar, Opera, UCWeb and Appia) and operator portals/stores. Most indie stores have a paid/sponsorship model but CPIs are the same as ad networks.
Platform app stores require carefully crafted keywords (repeated in title and description), creative content (which is mostly only read by loyal users), quality screenshots/logos and a good demo video for Google Play (linked through Youtube). Do not to go overboard here e.g. do not stuff keywords in the title/description – you will look desperate. Best tools for ASO include Google Trends, Searchman SEO, AppCodes. Reverse engineer the search algorithms on the app stores by typing in keyworks to see output of apps appearance.
Getting featured is obviously great but is driven purely through relationships (for Apple and Amazon) and algorithmically (for Google Play) with the curation teams for each platform, sometimes on a geography-by-geography basis. Always make sure to comply with the design guidelines provided by each platform – this makes it more likely you will get picked up for featuring. Use AppFigures and Appannie to track your performance and reviews.
App updates also drive additional downloads and push up ranking for a short period of time. Since there are no well-proven A/B testing methods for mobile apps, it makes sense to try several variations with each app update.
Cross-promotion: Companies like Outfit7, Zynga and Google have very effectively used their large network of apps to cross-promote new app launches. Outfit7 has been able to get to one billion+ downloads and has cross-promoted new launches to tens of millions of downloads in a few weeks.
Barter: Many developers don’t think about this, perhaps because it only applies when their apps get to some scale (several million MAUs). The trick is to find mobile app properties that (1) have tens of millions of MAUs; (2) have users in demographics/regions that you are targeting; and (3) have a large proportion of unsold or remnant inventory i.e. low sell-through rates. Bilaterally trading this remnant inventory can then be quite an efficient, not to mention cashless, way of driving downloads.
Referral schemes: Virality can be driven through incentives that provide an individual relevant app-specific user benefits in inviting people successfully. Examples include Hike (free SMSs for each successful invite), Dropbox (additional storage for each successful invite), Evernote (one month of free premium service with each successful invite) and Paypal ($5-10 for each successful invite). These schemes do not work for single-user utilities if you hand out real money. Users will try to hack around this system.
Beyond a certain point, only word-of-mouth/virality works, can’t use paid. This does not apply necessarily in the case of apps where the lifetime value (LTV) of an average user has been quantified, as can be done with many user-paid models like games, ecommerce and subscription services.
Use social influencers: If you can identify and target social influencers, it sometimes works to make them proponents of your app.
Gamification: Leaderboard-based incentivization does not impact new user acquisition. Make sure that gamification works even if the user does not have any friends using the same app.
Push SMS marketing: CPIs end up being within 25% of where the ad networks are, so not much different in price. Historically, SMSs went out to non-data, non-smartphone users as well so were not effective. This can contribute to cheapening the brand. Also, TRAI has specifically banned sending spam SMSs to users on the DND list.
Restricted invite lists: This is what Mailbox did, as have many others. A permanent beta is a less extreme example of this. This make sense for apps like email which need to be scaled up slowly given their complexity. However, restricted invite lists only make some sense when there is a lot of PR and noise generated some other way to drive artificial scarcity.
Review sites: At small scale, this helps. Some developers pepper comments throughout review sites such as Appolicious, AppTurbo and AppBrain to drive some downloads. This also build links into the developer’s website to drive Google search rankings.
[Published in Yourstory.in]
There are two levels to this question:
a) Is there value in vernacular content?
b) Is there value in online vernacular content?
(My thoughts below the image)
a) The first one is a clear YES, which wasn’t the case a few years back. In 2007, English publication readers constituted 10% of total print media readership, but garnered 60% of the total print ad-pie. Today, English still constitutes 10% of readers, but its share of the ad-pie has come down to 40%. In the same period Hindi grew from 20% to 30% of the ad-pie. To put things in perspective, the print-ad pie is ~$1B today, so Hindi print alone is at $300M of ad-revenue and growing at 17-18% annually. More data in a recent article in FE.
According to media buyers’ estimates, during 2007-09, the ad rate commanded by English newspapers was roughly 10x that of non-English dailies. This rate has contracted to about 8x and is further expected to come down to 5x or 4x in the next three years.
b) Value in online vernacular content is not showing in terms of monetization yet. Online advertising is gaining traction but it is mostly English today. However, it is encouraging that vernacular is building up readership – Dainik Bhaskar recently announced 200M monthly pageviews. Advertising spend on any media tends to inflect after reach (readership) crosses a threshold, and the signs for online vernacular are in the right direction.
Thus the answer to the question in the title of this post is “Yes, it seems so”, but it won’t be clear for some more time. Of course, when the answer is obvious to everyone, the opportunity no longer exists.
Takeaways for entrepreneurs:
– There is an opportunity in vernacular: Online vernacular readership is increasing and will increase faster as internet and mobile-data access continue to penetrate deeper beyond the English-speaking population.
– Monetization will take longer: Be prepared to keep a lid on the costs while the market shapes up. Good news is that the online ad-ecosystem is in place for English and given will bring $$$ to vernacular if there is an arbitrage opportunity in pricing.
– Local plays an important role in vernacular: 60%+ of ad-revenues in vernacular-print come from regional sources (regional fmcg brands, education institutes, local government, etc). The content too has a very local taste – print publications customize their content every 25 kms to fit into local dialects and preferences. So keep localization in mind in terms of content and as well as monetization.
– Think mobile: With cost of devices and access continuously falling, mobile might be the primary channel for accessing vernacular content in India, unlike English.
– Define your space: Large offline publications will always be faster and cost efficient in building content. You need to define your space but still be meaningful to a large enough population.
– Think out of the box, especially if you are looking to raise venture funds. Content production is a linear businesses. Can there be a platform play where the effort/cost of building content is not directly proportional to content monetization?
– Finally, keep an eye on vernacular even if you run an online transaction business (like ecommerce). If vernacular audience is valuable to an advertiser (online or offline), it is likely valuable to you as well, so don’t close your doors on them by having an English-only website. The “access” value proposition of ecommerce is also more suited to the non-metros of India, which constitute ~50% of the orders today.
Please add your thoughts in the comments section.
Yesterday, we formally announced that Lightspeed and Sequoia invested in OneAssist, a company that creates and markets assistance and protection-oriented membership plans for consumers. OneAssist was incubated and founded in the Lightspeed offices during 2011 by Gagan Maini and Subrat Pani. We’ve known Gagan for almost five years and frequently traded views on business ideas and opportunities in the payments, loyalty and concierge space. Gagan and Subrat have known each other since the late-90s, when they worked together at the SBI-GE cards joint venture. They have each built new businesses from scratch inside larger companies – Gagan most recently started the Indian operations for CPP and Subrat built the credit cards business at Kotak – and we’re excited to back them in building a new company in this white space.
The thesis behind OneAssist is that consumers increasingly value peace of mind, convenience and assistance with respect to certain events that can disrupt or interrupt our everyday lives (such as the loss of a phone or wallet, health emergencies etc.). This is driven by: (i) increasing time scarcity – especially in double income households, (ii) a cultural preference for ‘assistance’ (witness services such as Naukri’s ‘assisted’ online job postings, where sales reps hand-hold employers through the job posting process, JustDial’s assisted directory service, IRCTC’s agent channel for booking online tickets etc), and (iii) an emerging orientation towards protecting oneself from unforeseen future events (health insurance didn’t meaningfully exist 10 years ago and is a 13,000 Cr industry now). And perhaps more anecdotally, a growing sense of taking responsibility for oneself and one’s family.
We believe there is a large opportunity to create a branded, consumer-oriented assistance and protection platform across multiple segments. The initial use cases OneAssist will support are the loss (or theft) of a wallet (including cards, driving license, PAN card etc) and the loss (or theft) of a mobile phone. In each case, the company takes on the chore of cancelling credit/debit cards (or remotely wiping and locking a phone), protecting against misuse of cards and/or data, providing emergency assistance (such as providing a replacement handset with data fully backed-up), and replacing essential identity documents such as a driving license or PAN card. Each product also offers certain group insurance benefits to protect against financial loss. Plans are priced at Rs 1,000 to 2000 per annum depending on the chosen package plan, which equates to just about Rupees 3-5 a day.
In addition to marketing directly to consumers, the company would also market their products through affinity partners (such as banks, telcos, retail, etc) and corporates who have large customer or employee bases and can offer such products as very relevant value added service or benefits for a fee.
This business model is notoriously difficult to execute against given the importance of delivering against the promise in ‘moments of truth’, the myriad of supply-chain partnerships and capabilities that must be developed and coordinated, the direct and partner-driven sales and marketing capabilities that must be built to achieve scale and the customer engagement strategies that must be deployed to ensure high customer satisfaction and loyalty. We believe that Gagan and Subrat are the best entrepreneurs to take on this challenge and wish them and their team the very best as they embark upon this adventure.