Here’s a small product feature recommendation for Google Maps on Android. Currently when I am in Google Maps and typing in the search box, it throws results that match with Google Places directory on the web. If it also throws matches with local contacts in the phone (or Google account) that have an address field added, it will ease usage.
A quick background will help understand the use-case much better. I was traveling to Jaipur and wanted to go to my friend’s place in Bani Park. I had asked him for his address the day before and stored that in the phone’s contact against his name. Now when I was close to Bani park and looking for exact directions to his place, I had to
go to the Contacts,
search for his name,
View and copy the address,
Close Contacts and open Google Maps,
click on search(in GMaps) and paste the address (without the door number etc),
See the matching list of places from Googles Places directory,
Choose the right one and get started
Recommended Solution for showing contact addresses in Google Maps :
It would have been so much easier if
I go to Google Maps
Click on search and type the friend’s name
IF there is an address field against it, gets thrown up
[CHALLENGE] – Smartly remove the part(s) of address like door or flat number and match it with Google Places
Better still would be if Once I have used the (text based) address for directions inside maps for the first time, it asks me to “pin” the place on the map when I reach my destination,so that an accurate latlon (latitude longitude) can be entered in a hidden field against this address.
If this pinning of a text address is done, it can add more wow – as soon as I open up Google Maps at a particular location, it can show me my pins in the vicinity – no more typing or searching needed – just choose the pin for directions and get started.
What do you think?
Is this something that would make your GMaps experience better? Do let me know in the comments section below – will love to hear your feedback.
#Android #GoogleMaps #GMaps #Google
Update – Google Maps now has this feature live !
And am thrilled. Not just as a user. But also as a product manager, that a feature that one envisioned has been found useful and implemented.
Here’s how it looks now. Interestingly, the match from the address book is right at the top.
Mobile is the new frontier and banks know this well.
Amongst the various choices to make as part of the bank’s overall mobile initiative, is the decision around the structuring of mobile app(s).
Thin App Vs a Fat App.
These might sound strange terms especially in reference to mobile apps and no, we are not talking about the size of the app in MBs.
A Thin Mobile App is a niche solution available for select instances or customers, which allows a small subset of activities to be handled.
On the contrary, a Fat app is one where all the possible features and functionalities are available in the single app.
Banks have chosen to tread either of the paths. E.g. ICICI Bank has multiple apps in the playstore and HDFC Bank has just one main app.
As one would expect, there are pros and cons of both, and I am listing a few here that come to my mind.
Easy to deliver
Needs design assistance
Higher – as less distractions
Lower as many features irrelevant
App adoption slows as marketing dollars split across multiple apps
Overall downloads look better as one single app
Becomes complicated with multiple apps in market
Easier since tracking just one app
Depends on how the bank approaches it
Depends on how the bank approaches it
I personally feel, more than the final choice, it is the reasons that drive the choice which are important e.g.
It makes more sense to have a separate thin mobile app, if there is a unique customer segment that seems to have very different transaction or enquiry profile as compared to the others. E.g. Retail bank customers vs SME business owners
Building Traction. Many banks want to keep their mobile banking app for transactions only and do not see value in building any pre-login use-case. This makes the mobile adoption target so much tougher as there has to be a very precise value that the customer foresees in using the mobile platform for transacting. Plus its a two stage goal, get downloads and then get usage. It might be useful to break it down into easier goals, get downloads by providing a use-case even if its a pre-login e.g. offers on debit and credit cards. And then get the customer who already has your app to start using it for transactions.
In the early days of Deal4Loans, we used to get a lot of traffic and leads through SMS campaigns. Especially for products like Personal Loans (Simple pitch and high-urgency in a need based product)
During those days, NDNC (National DO NOT CALL) list was not introduced and there were very few players who were sending bulk SMS for lead generation. Response rates were high.
Market quickly figured out that this was a cost effective and easy channel to scale up. A tsunami of SMS campaigns started to happen and finally the National government had to intervene with its NDNC initiative.
And while SMS acquisition campaigns have largely died out, it seems to be back again. And with even more potential.
In a recent campaign we closely observed, a bank reached out to a select base of consumers through SMS and emails. The resulting traffic on the portal was significantly higher in case of SMS.
Apart from all the other factors (higher delivery rates, targeting time of intervention), now most recipients have a 3G or Wifi enabled smartphone, where CTAs are simple. This campaign had a short URL taking to the Landing Page after a crisp text talking about the offer.
If you can withhold the temptation to abuse your mobile registered users, SMS can deliver amazing results even in marketing campaigns.
Acquiring New To Bank (NTB) customers is a key agenda for most Digital Heads at Banks.
Its only logical that online acquisition budgets are getting bigger, given the following:
Consumers are spending more and more time online. Digital is the best channel to start a dialogue
Digital channels are tracked exhaustively. You can measure the return on each dollar spent.
Digital channels allow data to flow at higher speeds. This could translate into better context, targeted products, straight-through-processing, upfront checking of applications etc etc.
Tablets have provided the ideal form-factor to do an assisted digital sourcing, as has been proven by the success of ICICI Bank
Regulatory changes are also making it easier to acquire online – Aadhar database, eKYC, wet signatures to go away in some instances etc.
Here are 3 seemingly simple tips for anyone who is doing NTB acquisitions today at a banking set-up.
Choose the right on-boarding product
Which product will you focus on to get more customers into the bank?
Many would say, we do not have a choice as each business line would be relying on the support of digital channels. Be as it may, it might be prudent to take a step back and understand the advantages of choosing a particular product for consumer on-boarding vs another.
Do we reject a lot of applicants for this product. Typically in case of credit cards and most loan products, the rejection rates are high and hence we need to sieve upfront to reduce the cost per lead or cost per account. Are there other products in the portfolio which have lower rejection rates e.g. most liability products may fall in this category
Does the product start giving me more data and insights about the customer? Can I build strong contexts to pitch the next product. Any payment product would be a good bet as it starts building a lot of relevant data points about the customer.
Is this being sold or the customer has a well articulated need? Loans should see a higher conversion as against credit cards because the customer has a need. But the scenario may change if the card is free and loaded with offers.
Is the process straight-through? If not, how many steps are there? The higher the number of steps, lower would be the conversion rates.
Competition – given that you are not the only bank trying to talk to the customer, the kind of marketing money it takes to interrupt a customer would increase for the segment with higher competition. Back in 2007 the bid rates for Personal Loan keywords moved almost 100% in less than 6 months. Every bank in India was focusing on acquiring Personal Loan customers.
Manage the Drop-out funnel
With all the tools available for tracking, doing A/B testing it is so much easier than before to manage the drop-outs in the acquisition channel. Over the years, industry has also learnt and created a best-practices library. Use it. E.g.
Acquiring through partners who have data on customers is more efficient and reliable. This is why most banks are exploring SME financing through ecommerce platforms.
Allow applicants to save applications and continue later. Across channels.
Build for a true OmniChannel experience. As the customer journey will definitely toggle devices
Provide for assisted filling of forms. What might sound simple & easy to you may be confusing to others
Authenticate the communication fields upfront (email, mobile). This allows you to follow-up on leads more proactively.
There are no permanent rejections – a customer who is not eligible today may be eligible tomm. Except may be those who are already over age :-).
Build data-led acquisition platforms
What has changed significantly in the last decade is the amount of data prospects and customers are generating across various channels and touch-points. The future (if its not already upon us) of digital acquisitions is data-led.
E.g. acquiring SMEs for working capital financing can happen in multiple ways:
Bidding on search engines for loan keywords
Putting up banners on B2B portals
Showing banners to specific SMEs on a B2B portal basis some cuts
Deep integration with portals to get fresh data about SME’s transaction, reputation, growth trajectory etc.
And so on.
Its easy to see that as the richness of data improves and also its freshness, the credit decisioning becomes better.
But this is not easy to do. It requires bringing together credit , product and digital teams into a room and understanding clearly the opportunities ahead of us.
Some banks are already working hard to evaluate the new data-points available and calculate their influence on the traditional credit models. Its a matter of time before this becomes the new normal.
Uber has changed the way we travel within cities. On a recent trip to Jaipur, the first thing I did on reaching the city, was to top-up my PayTm wallet to get going on Uber. (yeah no card-on-file yet 🙂 )
And over the next 3 days I took more than 12 rides across the Pink city. Here are some of the interesting observations I had:
Jaipur is really a small city – Only one ride was over Rs 100/-. All others barely crossed the Rs 75/- mark. Given the distances are not too much, the per ride fare is expected to be low. This is a critical point because the supply-demand balance can be easily titlted in a small-population. Also the per ride metrics are sensitive to even the slightest changes.
Free market economies tend to be cyclical – Almost all the drivers I spoke to talked about the good old times they have had, driving around as Uber cabs upto almost 6 months back. It seems back then Uber was super aggressive in signing up cabbies and were paying as high as Rs 1800/- per day. Guaranteed. This came down to 1600, 1400 and now is at 1200/-. And its all because of the immensely huge supply. Most cabbies now complained of getting too few rides on a daily basis. Add to that the low average per ride fare and it is clear that this city needs volume of rides to be high. Or to quickly reach an optimal sweet-spot of supply and demand match. As the word of tough times (for the cabbies) is spreading, fewer are joining and many who had joined Uber are reportedly quitting it. Some can’t even pay their loan EMIs.
There is no consistency of vehicle experience – I got from a Nano to an Innova under UberGo. Firstly, UberGo is where most customers go, hence even cabbies are registering themselves as UberGo. So you are better off choosing an UberGo. The Innova guy said that he wasnt getting any rides so he switched from UberX to Uber Go. Also it seems you make the same per ride across both categories. Hence UberGo seemed a logical preference. The Nano guy was proud of his decision, he claimed that he would recover his investment much faster. And thats true. I think this is a classic example of how the market evolves when its close to a free market.
Drivers understand and give importance to rider feedback – I have never seen so much sensitivity from an Uber Driver towards the feedback/rating. To have been able to crack this is really commendable on Uber’s part. The drivers have strong appreciation for this feedback being utilized for giving them ride bookings. Again, there might not be a completely transparent system but the fact that information and feedback is flowing across the supply and demand side, is strong enough motivator to influence decisions.
Locals are avoiding taking own vehicles – Lot of areas constantly face bad traffic due to construction activities. Parking is a challenge. Most of my local friends have either started using an Ola or Uber over self-drive or are seriously considering to do so. Atleast till the fares are this low !
And back in Delhi.
There was a surge charge of 1.9X due to high demand and unmatched supply I guess. This allowed UberX guys to also pick up UberGo customers without formally registering into the UberGo. Complete reverse of what’s happening in Jaipur. I guess Delhi customers prefer the more spacious UberX and there is sufficient demand therein.
The first cabbie who picked my request, called me and asked me where I need to go (instead of asking me where to pick me up from), and hearing my destination – declined. Just put the phone down and on my Uber screen I was back at fresh request. No way to even go and give feedback on this bloke ! So I guess Delhi cabbies have a hack to the feedback-driving-behaviour loop also. Land of Jugaad !!
Equally important is to acknowledge and understand, that partnerships will be essential in this journey.
And what enables partnerships to work (apart from a culture and mindset) is a technology architecture that is geared towards APIs.
APIs are like Legos – you own some, some you borrow – but put together you make something exciting.
While the consumer technology companies understand this, banks have traditionally been slow to embrace deep connects into their systems. The risk is too high ! After all banks have been trusted with the consumers money and data.
But to stay viable, banks will need to embrace partnerships, learn to publish and consume APIs, while still not compromising the customer promise.
Today’s the launch of the Digital India initiative and quite a coincidence that I had an experience which makes me believe that Digital India is already here.
Here’s what happened.
I was in Mumbai and called for an Uber. I started talking to the cabbie to understand the target market for a specific use case for mTuzo . We are pitching to banks that with mTuzo we can help move their debit card customer from an ATM only to ATM + POS relationship.
So I asked him which bank account he gets his Uber payments in – it was a SBI account and it was his choice. Uber gives him complete freedom to choose the banking partner.
Next I asked him if he had a debit card for that account . Turned out he did.
I asked him if he’s been using that card at ATM or for shopping also. As expected he had been using it only for cash withdrawals.
Probing further I asked him what if he got 15-20% discount if he shopped using his debit card, would he consider switching from cash to card. And his response just stumped me.
He said he’s already used his card for online purchases at SnapDeal. He did his first purchase using COD (cash on delivery) but once he was sure that they delivered just fine, his next transaction was through his debit card,
Let me repeat that – a 30 something male who has been driving a cab in Mumbai for last 10 years, is only schooled till class 10th, who uses his debit card only for cash withdrawal, has used it online at SnapDeal.
And what really really shocked me was his first purchase on SnapDeal. I can bet you will never be able to guess it.
Take a few guesses…..
He bought a selfie stick for Rs 300 (after a 66% discount). A selfie stick !!!!
Something very interesting happened while I was using the Linkedin App on my mobile. I liked an article and pop came the message from Linkedin checking if I would want to share my love of the Linkedin App itself.
The timing of this “Rate us on PlayStore” screen intrigued me.
Do folks over at Linkedin believe that if I have read a lengthy article and liked it, I am in a good mood?
If you ask me, may be I am. Atleast for sometime.
And since that mood is caused by the content that was delivered on the Linkedin App, Now might be the best time for ask for a rating. I would rate them much higher.
Maybe they didn’t do this on purpose and this was just a coincidence.
But it still piqued my interest in “Mood as a potential context for marketing“.
Did a quick Google and found that both Apple & Microsoft have applied for patents long ago on Mood based ad targeting. If this is at play, its surely super exciting stuff.
For one, mood is a very strong context. I remember once being told that the reason behind gorgeous women in skimpy clothes selling electrical switches was to get the predominantly-male-customer distracted and lower the apprehension about the product itself. If that’s been working for ages, surely a more trackable and insight driven model will be more successful.
Also, this might help “push” marketing be more effective. Google driven pull marketing works predominantly on context – what is the customer looking for actively right now. Imagine products and services being thrown just at the right moment. Feeling all mushy thinking about your partner, and pop comes the mention of a romantic cruise. Imagine how hard would it be to not buy it then n there.