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Measuring: What we do! PDF Print E-mail
Analytics
Written by Sandeep Mittal   
Thursday, 26 April 2012
3 metrics that show impact:
In the year that went by, we had ample opportunity to demonstrate that using your customer data to drive profits really works. Being in the business of doing what we can measure, and then measuring what we do, we’ve been able to compile our favourite metrics for proving the ROI for precision marketing. These are three metrics that need work to track, measure and report, but are well worth the effort in terms of the impact they have on budget allocations for your precision marketing efforts.
 
ROI against other marketing initiatives
This is hard to pull off, but one client (not Indian, I’m afraid) was able to share the relative returns of four kinds of marketing spends they had last year. Adwords came out tops in terms of returns on every dollar spent. Next up was CRM (or what we call precision marketing), which yielded 5 dollars of margin for every 1 spent. Local Store Marketing and ATL came in third and fourth.
The outcome of this was a move from a million outreaches through direct contact in the year to a million a month. A 10X increase in CRM budgets.
 
 
There are some dangerous lessons here. ROI on ATL is hard to pin down, and it does have a halo effect that beefs up direct marketing response. One would hesitate to divert budgets away from ATL or LSM beyond a point, but that’s a discussion for another day.

Incremental sales as measured against a holdout base 
An excellent metric we love to measure is the lift generated from consistent dialogue with your customers over a period of time – at least a year. This is, again, not easy as it means a set of your best customers get none of your direct communication around offers/ relationship communication/ milestones etc. One has occasionally used a selection of the non-contactable (on account of DND/ no email/ invalid email) base as the control, as long as it is representative.
We found for a retail client in India, that the target base had done a whopping 70% more than the control that was excluded from the dialogue. We’re going to continue measuring this metric this year to ascertain the longer term impact.
 
 
The impact of this picture for the retail client was big boost in the ability to spend on building that dialogue with customers, and a lot of buy in from top management and retail operations support.

Incremental sales aggregated from lift of individual campaigns
This metric is very strong when articulated as “We did X Million outreaches this year and generated Y Million rupees of incremental sales”. The business guys love it - it tells a strong story and helps them prove their operations teams into cooperating on campaign operations. The marketing folks love it as it helps justify spends and budgets like nothing else. The Finance guys love the sound of anything that says “profits over and above business-as-usual”.
It requires a fair degree of discipline, however. It means holding out a control group for every campaign, measuring campaign level lifts and then adding it all up at the end of year. The hard part is maintaining the campaign history that allows you to track – it’s either a lot of hard work, or needs campaign management tools, which can be expensive.
 
 
The outcome of this metric for a retail client in India was a 40% increase in CRM budgets in a year where marketing budgets were being slashed across the board.
 
What next
Yes, we track many metrics in our line of work. From open rates to retention rates and campaign lifts. Eventually the mix of metrics is quite business driven, but some of the high level impact proving metrics – like the ones mentioned here – are quite universal. There’s little arguing a number that shows incremental revenue – and backs it up with the evidence. It gets you those budgets every time!
 
Irrelevant Marketing OR Consumer’s Revealed Preference? PDF Print E-mail
Analytics
Written by Moumita Sarker   
Thursday, 26 April 2012
Marketers regularly reach out to their consumer base through promotions, telling them what’s happening at the store/firm, about the new products launched and generally keeping their brand top-of-mind in one way or another.  With email and SMS communication getting cheaper by the day, there is a conundrum in the marketer’s mind… the cost of NOT COMMUNICATING to a customer seems to be higher than the cost of communication. The net result – blanket carpet bombing to the entire base.

No secret then why, across categories, retention remains a concern area, lapsation rate is increasing and there are signs of high un-subscription.

The fundamentals of this problem may well be traced to the microeconomic theory of consumer behavior, especially Paul Samuelson’s “Consumer Revealed Preference Theory”.

Say, a consumer has exposure to a bundle of goods (X1,X2) and another bundle of goods 
(Y1, Y2). Prices are same for the two bundles (P1, P2). The consumer has a budget M. 
So, P1X1+P2X2<= M and P1Y1+P2 Y2 <= M (i.e. both the bundles are affordable). 
However, the consumer buys bundle (X1, X2). Thus, consumer clearly prefers (X1, X2) over (Y1, Y2).

Therefore, the above theorem states that the consumer always, through his purchase pattern reveals to the marketer his preference. What this implies is that the consumer expects that the marketer would quickly understand this preference and reach out to him with “relevant” communication after incorporating this additional\updated information that he has provided through his purchase behaviour.

It often happen that even after the consumer has “Strongly Revealed” his preference (Strong Axiom of Revealed Preference) in which he has shown many such instances of repeat purchase, the marketer still does not pay heed to his purchase behavior.

Three basic tenets underlying the “Revealed Preference Theory” which will be useful here:
1. The consumer has a preference set which is the “consideration set” from which he picks and chooses the items he wants to include in thebundle which satisfies his utility and also optimally meets his budget constraint.
2. All bundles formed with different combination of commodities giving the same utility to the consumer lie on the same curve technically called indifference curve.
3. The consumer thus has the flexibility of substituting any commodity within his optimal bundle of choice with any other commodity from his universal choice set lying on the same indifference curve.

If the marketer of the firm reaches out to the consumer with irrelevant communication even after his repeated “strong preference revelation” the following sequence takes place in the consumer’s behavior:

The consumer throws the firm itself out of his preference set  For e.g. if the consumer has been buying blue cotton formal shirts in the last 3 purchases from the store and he gets a communication two weeks later (which is a part of the mass campaign)asking him to buy a new floral print collection at store, the consumer gives up on giving any more ‘purchase hints’ and throws the store itself out of his selection set
Obviously, in order to fulfill his utility or technically stay on his indifference curve he has to substitute this with a competitor’s shirts
This shift or substitution does not happen suddenly. The concept of “marginal rate of substitution” (MRS) works here. MRS is the no of units of X that the consumer is ready to give up to buy a single unit of Y in order to maintain the same utility curve. 
In the above example, as the marketer continues to send more and more irrelevant communication to the consumer, the consumer will be ready to give up more and more of the firm’s product in order to buy more of competitor’s product

So, what should the marketer do right to remain within the consumer’s preference set, on his indifference curve and be a part of the optimal consumption bundle given his budget constraint:
1. Understand the consumer purchase pattern from the data and see what the consumer wants to be told about.
2. Avoid sending non-targeted, irrelevant generic campaigns unless for informational purpose only. And even that should be limited.
3. Recommend based on the consumer’s revealed preference - similar items which the consumer might like.

Analytical techniques like Next Best Purchase, Recommender Engines, and Segmentation might be tools that the marketers have to adopt in order to win the “Consumer Preference”.

The counter-argument to the “Revealed Preference” is however, that consumers tend to make irrational decisions which might not be in line with their rational thought process culminating in “impulsive buying” or “buying outside his preference set”. But, as the market becomes mature (players in the market are all alluring the same consumer), its’ consumers also get more and more rational in their choices and the consequent risk of irrelevant marketing would increase.

The era when mass marketing was popular, was a time when the consumer‘s preference set had few commodities to substitute with and the consumer’s preference was limited, as he had to maintain himself on his utility curve. So, even if the communication was not in line with the “revealed preference”, there was a default loyalty to the product. 

With a plethora of options today , the era of irrelevant, non-targeted direct marketing is coming to an end.

The consumer now has a whole spectrum of items to choose from and substitute on the indifference curve. The more he is confident that the firm understands his choices, the more is the firm’s chanceof being selected over others. 

So – Irrelevant Marketing or Consumer’s Revealer Preference? The consumer has done his bit. It’s finally the marketer’s choice…
 
Get the Design Right! PDF Print E-mail
Loyalty
Written by Mala Raj   
Wednesday, 11 April 2012

Few marketers realise the importance of spending time and effort in getting the DESIGN of their loyalty program right. It is not the same as briefing an agency and getting a first look at the media plan or the creative campaign. And even that takes 2-3 weeks!!

For a good (read- successful) loyalty program, the design phase is almost as long as the implementation phase and arriving at  the right construct may take as long as 6-8 weeks of intensive discovery and design. Yes, it means, that it takes that much longer to get your program off the ground and in-the-market. But a good and solid design goes a  long way in ensuring a greater chance of the program's success and long term viability.

What does it take to get the design right?

 

  1. Spend time understanding the business priorities, opportunities and challenges -  a loyalty program cannot function in isolation of the overall business objectives. Get an idea of expectations of program deliverables from all stakeholders.
  2.  Get your hand around the data. Deep-dive into analysis of transaction data over the past 12-24 months and understand customer transaction behaviour in greater detail.
  3. Understand the customer expectations and desires - go back to whom the program is intended for. Ask them what they expect from a program and what are their current satisfaction and pain point areas. You will be surprised at how vocal your customer can be when asked for an opinion!
Three cornerstones of a good loyalty construct - business, data and customer.
 
Take the time and the effort. You will see it pay off manifold. 

 

 
Ten things that Drive Retail Loyalty PDF Print E-mail
Loyalty
Written by Mala Raj   
Tuesday, 10 April 2012

What are the factors that help drive loyalty to a specific retail outlet? Is it the deals and offers? Is it the good service? Is it the range available? Here are ten things that have been known to work like gangbusters.

 

  1. Trust and Familiarity: The key to loyalty in any category - and works well here too. Only if you trust the brand will you have any inclination to be loyal to it. And trust builds over time with familiarity and repeated interactions with the brand. Therefore, prime prospects for membership to a retail loyalty program are customers who are active and regular. Surrogates for trust and familiarity.
  2. Transparency: Linked to trust. Loyalty initiatives need to be open and transparent. All cards on the table. Nothing in fine print and hidden clauses which your customer will never read. If there is some item or some period NOT eligible for a loyalty reward, state it upfront. Not at the time of billing. If points are going to be devalued, inform the customer in advance. The basic principle - don't wait for members to ASK for entitlements. Give them what they are entitled to.
  3. The Offering beats the Program: There are reasons that drive loyalty more than the program. Proximity of outlet and value for money for grocery retail. The need, range and availability for apparel retail. Only when these hygiene factors are satisfied will a loyalty program help swing a purchase decision one way or another.
  4. Shop Floor Empowerment: The biggest moments of truth for delivering a program promise are on the retail shop floor. That's where program experience comes to life. That's where a program member can see herself being treated differently from a non-member. That's where a top tier member is discreetly escorted to an empty check-out counter where he doesn't have to wait in a queue.  And that can only happen when shop floor staff are empowered to take on-the-spot judgement decisions - and are well-trained in the program features.
  5. Instant Gratification: Even with programs structured for accrual (points and rewards), it is always beneficial to intersperse moments of instant gratification. During a sale, offer members an additional 5% off - over and above the points they earn. Parking tickets being offset against bills are another example. Members look forward to - and expect - both immediate as well as longer term rewards
  6. Easy Enrollment: The customer does not 'need' your program. And has better things to do with her time. You need the member! Make it simple to enroll. Minimal paperwork. Very little time. Need-to-know data capture. And all done in the arena of shopping - not something she has to do later at home where it is unlikely to happen.
  7. Easy Usage: Don't insist on the card for every earn transaction. Have alternate member identifiers that are easily remembered - a combination of name and mobile number works well. However, it is important to insist on the card for redemption transactions to prevent possible fraud.
  8. Surprise and Delight: Works well across categories and retail is no different. From a special discount to a member if she shops during her anniversary month to cutting a cake at the store to celebrate a member's birthday. Recognising a member's child's presence at the store and spontaneously giving him/her a token gift. Small but impactful. Linked to staff empowerment. And some of these moments can also be calendarised.
  9. Enable consolidation for those who seek it: Retail typically operates on a closed-earn, closed-burn principle. However, as the program matures, co-branded cards work well. It gives members the opportunity to drive accrual across all purchase categories - and indirectly helps consolidate retail purchases with one retailer as well. Works for the member and works for the retailer.
  10. Take the Experience beyond the Store: Critical in a situation where brand interactions are largely limited to store visits. Consciously increase the number of touchpoints with the brand beyond store visits - through regular communication, through member events, through social media and through above-the-line brand awareness and program awareness initiatives.

 

 
Microtargeting- Analytics to help campaigns reach out with a relevant message PDF Print E-mail
Analytics
Written by Tapan   
Thursday, 01 March 2012
Interesting news piece on use of targeted advertising aided by analytics in the US presidential primaries:
Campaigns use microtargeting to attract supporters
While this piece concerns primarily digital advertising, cynics will argue that politicians do not need analytics for doing targeted communication with their constituents.
 
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