Pickins Mining Case Study

7 Ways To Mine The Hidden Gold In Your Customer Data

The more you know about your customers, the more you can provide to them information that is increasingly useful, relevant and persuasive. You may have to  but once you have it you’ll have the Mother Lode of customer engagement capabilities.

That was the thesis of a recent Webinar I conducted with my friend and collaborator Jamie Beckland from Janrain, an organization that helps companies improve their conversion rates, relevancy and customer satisfaction by gathering and managing social media profile and behavior data. They are perhaps best known as a provider of social sign-in, whereby you can register or sign-up just by clicking Facebook or Google or Twitter or Linkedin logos, and providing permission. But, they do a lot more than that, and they do it for some of the biggest companies in the world. Plus, Janrain is a long-time partner and sponsor of Convince & Convert and the Social Pros podcast (thanks!).

Eureka! 7 Ways to Mine the Hidden Gold in your Customer Data from Janrain on Vimeo.

In a competitive environment, you don’t win by shouting louder, you win by being more relevant. (please click to tweet)

This is the key to data mining, and why it is so critical. Data equals relevance, and relevance equals success.

You Can Mine Customer Data, Regardless of Budget or Technology

There are some amazing examples of what can be done with 360-degree data and behavior mining. Just check out the Interscope Records example in the Webinar. But you don’t have to go Full Monty to be able to use data to improve your marketing. Here are seven ways you can make data work for you, and the results companies have had with each:

1. Omni-Channel Experience With Account Linking

Best represented by the Interscope Records case study, this full-blown data mining allows for true 1:1 engagement opportunities across multiple websites, mobile apps, email programs, etc.

Interscope Records saw a 900% increase in email open rate using this collection of tactics.

2. Person-Provided Data

This is when you carefully gather data from your customers and prospects directly, and use that data to boost relevance (and results). Software company Avalara used this technique to customize their Webinar topics and follow-up, and produced a 303% increase in Webinar attendance.

3. Gamification to Gather Permission and Data

This is where you use contests, customer assignments, points, badges, levels and more to encourage data exchange. Slim’s Pickins records used this solution and ended up getting their contest hashtag trending worldwide on Twitter world-wide.

4. Email Behavioral Data

In this data-mining option, you use the click behavior on your website and in your emails to produce highly targeted, automated email sequences. This is also known as “progressive profiling” and “drip marketing.” Paper goods e-commerce provider Paperstyle used this playbook to increase their revenue per email by 330%.

5. Profile-Driven Ad Targeting

Here, you use customer segments created based on historically website behavior and use these profiles to rifle-target advertising (for websites that sell ads). New Zealand Herald newspaper online grew their revenue per impression by 20% by using this approach.

6. Retargeted Advertising

This is when you track people who have visited your website(s), and then only show ads to those people downstream. We use this tactic consistently here at Convince & Convert, which led my mother to ask me why we were advertising on a knitting website.

7. Personalized Intelligence

This is data mining for individual or small business use, rather than corporate. The best examples of this are plug-ins like Rapportive, which show you the social media status of people in your Gmail contacts, or Email Tracking by Hubspot (which I love) that tells you when someone has opened or clicked on an email you sent them.



Watch my Webinar with Janrain for many more ideas and examples about how to use data mining to improve your marketing.

Mini Case Study-Bethesda Mining Essay examples

1341 WordsJul 8th, 20116 Pages

Mini-Case Study: Bethesda Mining Company Week 4 Application 2
Jo-Ann Savoie
Walden University
Finance: Fiscal Leadership in a Global Environment
Dr. Guerman Kornilov
March 24, 2011 The following Mini-Case on Bethesda Mining Company was taken from the text corporate finance (2010, P. 203-204). In order to determine if Bethesda Mine should open, a thorough analysis of the payback period, profitability index, average accounting return, net present value, internal rate of return, and the modified internal rate of return have been conducted.
Table 1. Cash flow on Investment
Tax rate= 38% Year 0 Cash flow (outflow) on investment Opportunity cost of using…show more content…

After Tax Flow
After tax Cash flow at termination Tax rate= 38%
Year 4 Cost of reclamation= $2,800,000
Tax credit= $1,064,000 =38.% x $2,800,000
After tax cost (outflow) $1,736,000 Year 6
Charitable expense deduction= $7,500,000
Tax credit (inflow)= $2,850,000 =38.% x $7,500,000 The payback period is 3.08 years. This calculation was achieved by determining the number of years in which the initial investment is recouped. Payback = year before full recovery + (unrecovered cost at start of year/cash flow during year).
Table 8. Payback Period
Year Cash flow Cumulative cash flow 0 ($94,915,000) ($94,915,000)
1 $25,909,270 ($69,005,730)
2 $31,443,670 ($37,562,060)
3 $31,866,670 ($5,695,390)
4 $67,254,990 $61,559,600
5 $0 $61,559,600
6 $2,850,000 $64,409,600 $64,409,600 Payback period 3.08 years
5,695,390/67,254,990 = .08
In order to determine the profitability index, the net present value must be determined.
Table 9. NPV
Net Present Value To calculate the NPV ( Net Present Value) we discount the cash flow at the given discount rates discount rate= 12% Year Cash flow PV factor @12.% Discounted cash flow= 0 ($94,915,000) 1 ($94,915,000) =-94915000*1
1 $25,909,270 0.89285714 $23,133,277 =25909270*0.892857
2 $31,443,670 0.79719388

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