Posts Tagged ‘database marketing’

Value based CRM aligning marketing IT and finance functions

This article discusses values-based CRM concepts in regards to aligning marketing, IT, and financial functions. An interesting point made by the authors [F]ocusing just on the ability of IT to support strategy and processes bears the risk of not utilizing the full potential of innovative technologies[.] It’s clear there is a critical interdependence between both [...]

Consumer engagement and participation using QR

I thought this kiosk flyer below, which I found pinned to a wall somewhere in Estes Park, Colorado, is a novel use of QR.   What I like is how the purveyor has conveniently arrayed the subject matter. As a tourist, I especially liked the choices put before me and the prospect of interacting in [...]

Demographic shift, Google stealth social network, rich media

Three blog posts that recently piqued my interest: Wake up, the demographic shift is flattening us. Although targeted at catalog marketing executives, what Kevin Hillstrom has to say is relevant to the marketer in us all. Here’s the essential take-away: Right now, “The Big Shift” is steamrolling us.  We are essentially addressing the 55+ audience, [...]

Obama Web 2.0 meets database marketing

Here are two salient take-aways from this great article detailing how Obama eviscerated previous fund-raising records 1) Strategically embrace Web 2.0 and facilitate consumer control over certain elements of an overall marketing plan Supporters’ blogs and You Tube postings were also brought inside the campaign through the website, where the online team could help consolidate [...]

Hyper-targeting enhanced listings

Trulia partnered with 1020 Placecast to provide targeted ad services. Once users input a location they want to learn more about on Trulia, Placecast will access that data and apply it as a key component along with common demographic data points like psychographic information to provide more targeted ads. This process makes sense especially at [...]

Reality mining in real estate services

As always I am grateful to Owyang to lend his insight and foresight. Here’s another excellent missive on the “Intelligent Web”. In summary, he posits that machines will begin extrapolating relationships and driving recommendations for connections from the juxtapositions and nexus between “our behaviors, context, and preferences”. Sounds a bit like the semantic web. Spinning [...]

Zip+4 Targeting: Online Advertiser Demographic Segmentation

Assume you’re a brokerage firm with a wide distribution of properties over several zip codes. Aside from basic syndication to online aggregators, what’s another strategy to market your listings? One fee-based option that many aggregators offer is enhanced listings. Before you pay, however, ask them to prove their merit. Assume you cover these two zip [...]

Zip+4 Coding for Real Estate Listings

What does The Filter have to do with real estate search? (NOTE: I went through the The Filter Q&A and have to say it was eerily prescient). What if there was a site where a consumer would 1) define the location where they want to live (via natural language, drop down, or map search), 2) [...]

Social network data mining research 10-17-2007

This paper, Inferring Social Network Structure using Mobile Phone Data, explores how to use social network analysis to predict individual behavior indicators. Privacy considerations are explored in this paper, Wherefore Art Thou R3579X? Anonymized Social Networks, Hidden Patterns, and Structural Steganography. Here are some Videos of social network data analysis, and here is a presentation on [...]

Real estate zip code search optimization

It looks like this company is winning the Chicago real estate search engine optimization strategy and execution race. These representative results speak for themselves: 60647 homes for sale, and 60647 townhomes for sale, and 60647 condos for sale all have this website listed in Google’s top slot (at least as of the date of this [...]

False profiles and the Internet consumer

Arguably, nothing messes with a firm’s loyalty and/or CRM strategy more than a multitude of false consumer profiles polluting a CRM database. In seeking to elevate one’s marketing engagement index, it’s often helpful to understand the demographic profile of a consumer. But if such a consumer does not self-report this, or if such data is [...]