What is the best hyperlocal strategy for India?

Came across the question here on Pluggd.in forum.

If I take the question at face value, then it is at a very high level. It is almost like asking "What is the best means of transport on land (in India)?" The devil is actually in the details of what we perceive of this question. What do you mean by "best" (quality, cost, value, speed)? What do you mean by "transport" (for people, live stock, fragile goods, general goods)? What will be the volume, frequency of travel? Will it be in a desert? Metaled Road? By-lanes? Across highways? Rough off-road terrain? (Point being made)

Similarly, In this question we have the following variables: 'best', 'strategy', 'hyperlocal' and 'India' which has wide ranging and extremely swinging perceptions. Best for who? (vendor, manufacturer, service provider, consumer...)? What is a threshold to say something is strategic versus operational (from a near term cash-flow perspective? or a long term organic growth perspective?) What is hyperlocal? Which India? (The 4 broad demographics in a tier-1 city? The multitude of BoP class which can only be classified on economics, but gets hairy when we apply cultural context? Aspirants from tier-2, tier-3?...)

Let's specifically say for hyperlocal, the challenge with any discussion around hyperlocal quickly surmounts to what each of us perceive as hyperlocal (and also based on what categories already has or has-not worked in some distant markets). Some agree that it is around a physical boundary (narrow geography) while others vehemently deny a concept of geography involved at all (the theory of nearness to an idea/concept  which does not encompass geography is also accepted as hyperlocal).

As an example, let me assume that the flavor of discussion I would like to ‘barely attempt’ to provide my opinion, contains the following key constituents: Narrow-geography based on your immediate current location, Relevance, Individual targeting, Retail and Tier-1 city as a domain (even this is at a very high level).

Then IMO, (at a very aggregate level) India and BRIC style developing nations will be the most equitable places where hyperlocal will thrive in the mid to long term forecasts.

Why? because the heterogeneity of the markets and the amount of fragmentation and decentralization in these nations are high (intuitively, that is, compared to homogeneous, big-box EDLP markets). As a hygiene-argument from a market-category perspective, demand analysis in such markets is way costlier if it has to be done by each SMB on their own. Currently even large well funded (offline retail) conglomerates in India suffer majorly from demand metrics which can significantly improve top-lines when applied well. (This assuming hyperlocal enables significant improvements on demand-chain solutions, which it resoundingly does).

A large part of Indian-metro population is cost conscious markets (specifically around dailies, staples, consumer durables and household services) as I understand it (Note that not all FMCG falls in this group, or beauty and restaurant services is avoided intentionally as that has its own segmented behavior). (Again, what is good for Mrs Khanna is not good for Mr. Iyer).

If you look at the market from the (stated) consumer perspective for the specifically stated categories, then IMO, we can ascertain that finding value (cause one is cost conscious) for what we pay in such heterogeneous markets is extremely painful. and hence, where there is pain (latent or otherwise) there ought to be innovative solutions which shall be reasonably profitable for all players involved.

There are many execution specific questions that pops-up when you generalize such arguments. What is the pain threshold? Will the consumer generally live with the pain in a latent mode until a hyperlocal-solution is offered? or have they already moved on with other alternatives with maximum utility (group-deals are already hyperlocal)? What is the segment size and the number of segments that can be herded with a single platform enabling dynamic customization for similar market segments at minimal cost for the solution-provider? Can it go to the level of relevance and individual targeting over a period of time? Can you apply consumer language for all of the questions and simplify the ‘value find’ use-cases efficiently in near-term? The nature of solution in itself is a huge debate. Add to that the number of edge-devices, maturity of the masses to soak up mobility solutions (or other such profile), technology, market-led innovations etc.. and we can keep this debate on for a long time in vaccum. Justifying an opinion to such interesting debates on a single-post on a blog is really hard without getting excited on every aspect of the problem-space. (Maybe further blogs)

Meanwhile, think through the following hyperlocal use-cases and apply your own perspectives:

• Collective collaboration at the community marketplace where vendors offer service-packs (electricians, painters, plumbers...).
• Community economics encouraging sustainable & experiential lifestyle involving gaming, community sharing (used items, car pool).
• Social engagements involving flash mobs, activism, common goal (as against common interest), social donors.
• Enhancing supply-side (sourcing) dynamics with stock and asset moments along with logistics, in-bounding, relevant auto-indents.
• Empowering producers (farmers) at the geo-fenced level with info enablers such as price flux, input source, weather, infra...
• Enabling 'catchment level' sales structures and program support elements empowering feet-on-street, reducing fiction costs.
• Community news, for the community, by the community enabling personalized channels and preferences.
• Transport details involving nearness, cost, mode, quality of experience (crowded) and alternatives.
• Near-store engagements enabling experience that are relevant for the moment-of-maximum exposure limiting the lead times to zero.

In essence #hyperlocal is an ability to focus on a market of 1 (or few) engaging with relevant info based on personalization in real-time, near-to where you are currently located. Its a nascent problem-space. There are no such thing as best strategies except to intrincically know your markets and to iterate. There are no experts who can predict the outcome of any of the myriad hyperlocal use-cases for India or anywhere globally either. We should therfore be cautious not to throw baby out along with the bath-water.

Shared Consumer Data, Reciprocal Marketing and Conversions for Retail

Reciprocal Marketing is not a new concept in Retail marketing in India. Mostly in the B2B segment where promotions, cross-subsidy and cross-sale combinations exists. Insurance is offered for people who open bank accounts. Credit cards are offered in conjunction with book buying (landmark). Money back when you fill gas in a IBP station on debit cards etc... All this hints towards sharing the consumer (data).

To carry this to the next level, it is important for Retailers to come out of their shell and stop worrying about 'who owns the consumer data'. I keep getting into all sorts of debates and uncertainties of why Organized Retailers should or should not expose their Consumer data. The claim for not exposing is that, clean data is expensive and the IP differentiator for better conversions and loyalty for a given retailer, so the data should be owned and not shared.

But what is clean data ? How do you validate it ? How do you maintain it ? What is the cost of logistics ? What is the strategy for conversion ?

Clearly, the sum of cost of solving above hurdles for "clean consumer data" is significantly higher for the Retailer before gaining any benefits from such a data if each and every individual Retailer repeatedly manage their own datasets. This is why there is a half hearted effort by every Retailer. Nobody seems to have walked the whole mile (maybe except the Gas Agencies as its a regulatory body and they must validate). Consumer Loyalty forms, credit card records and Home delivery challans are the only validators existing today. Among this, credit card companies will not authenticate the consumer info fully. Payment gateways are a black box. Obtaining consumer psychographic details is a costly research and catchment exercise.

Instead, why not free the data ? Put it up on a "Consumer Data Cloud". Open the collaboration of consumer data by offering direct incentive to the consumers for maintaining and upkeep of their own info (with a shroud of privacy). Technology exists for this today.

Sharing the consumer data across segments shall be the next disruptive wave to change the Retail horizon.

The time has come to reap the benefits of open collaboration (Given that consumers are readily pouring their life's worth on Facebook, Twitter, MySpace and the rest of the Ning bases). Yes, privacy is a concern. Privacy must be the focus while collaborating such data independent of whether it is on a Retailer's platform or otherwise. I would go a step further and argue that privacy can be better managed, audited and assured if consumer data is managed as a single source of truth (single cloud). The cost of assuring privacy for such data for every Retailer on their own infrastructure is high and incredulous !

The benefits of freeing consumer data ?
- Pruning of costs across CRM which releases fairly significant chunk of capital. A portion of that capital can be re-purposed for interacting with the 'consumer data cloud' (smaller than the cost of managing your own dataset)

- Single source of truth both for the Consumer and the Retailer. Consumers especially can have a single pane of glass across all their Retail outlay (visits, purchase, spend, loyalty points). Retailers of course benefits from higher analytics and trending across consumption lifecycle of the consumers.

- Enablement of a Co-Opetition framework where Retailers can co-operate as well as compete for the Consumer's attention. This is where true reciprocal marketing evolves. Cross loyalty, cross segment combo kits (dinner and a movie package), targeted promos, cross segment redemption schemes will be more meaningful and rich in ideas and innovation.

End result? better engagement, targeted touches, hand holding across consumption lifecycle, point discounts, higher redemption and yes, absolute conversions. Sounds like utopia, maybe not. But truly a step closer.

All this and more is possible only if Retailers break their shell and hatch. Its about time the data is free (as in freedom)...