webinar: pull your data together to sell more furniture

10
February 24, 2015 Webinar: Pull Your Data Together to Sell More Furniture February 24, 2015

Upload: datamentors

Post on 17-Jul-2015

287 views

Category:

Data & Analytics


1 download

TRANSCRIPT

February 24, 2015

Webinar: Pull Your Data Together to Sell More Furniture

February 24, 2015

Presenters

Jewell Kinnison

VP of Technical Services

David Brinkley

VP of Business Intelligence

Anders Ekman

President

• Extensive experience in working with well-known brands, including MasterCard, Kohl’s, GM and AT&T Wireless.

• Previous positions include Founder of Attain Group, EVP at MRM Worldwide, and SVP at Digitas.

• Working with a number of Fortune 500 companies, Jewell is experienced in Campaign Management, CRM solutions, and Software Deployment.

• Previously served in leadership positions at Matrix Technology and Sterling Research Group.

• Over 25 years experience in data-driven marketing.

• Previously served as VP of Technology at Clairvoyix and Information Systems Director with Fujitsu Computer Products of America.

Webinar Topics

Why You Need to Get Your Data Together

A 5-Step Approach to Create Your Marketing Database

Furniture Retail Client Example

“How to Identify Your Best Customers and Prospects”

Q&A Session

On-the-go and millennial shoppers want to be understood across multiple channels – and will head to the competition if you don’t provide a seamless experience.

Data is often stored in multiple systems and silos.

Marketers need to access data more frequently and IT is trying to do more with less.

Companies that put data at the center of the marketing decisions improve their marketing return on investment (MROI) by 20%. (McKinsey)

Why You Need To Get Your Data Together

5-Step Approach to Create Your Marketing Database

Data Identification

Data Cleansing &

Standardization

Cross Referencing

Data Enhancement Survivorship

Data Identification: Identify all sources of data, fields of interest, format standards and definitions.

Data Cleansing/Standardization: Conflicting pieces of information often exist across multiple sources for the same customer or prospect. Each data type must also have the same kind of content and format.

Cross Referencing: Cross referencing or matching removes data duplications by discovering intelligent links among customer records to merge duplicate records.

Survivorship: Consolidation of cross referenced data and elimination of redundant information establishes a single version of the truth, or a 360-degree customer view.

Data Enhancement: Records are often missing important details. Data enhancements adds additional insight into contact details, demographics, lifestyle interests, and firmographics.

Furniture Retail Client Example

Customer centric analytics Combines online behavior and in-store purchase history trending over 7+ years.

Multi-Location Furniture Chain, $250MM in Sales Integrated 7 source

systems, including POS, credit data and online behavior.

Fully functional marketing solution in 8 weeks.

“How to Identify Your Best Customers and Prospects”

a

Click the picture to

watch the video

With Better Data and Analytics…

Quickly export records for multi-channel marketing campaigns

Send the right message, at the right time, and through the right channel

Identify and market to new consumer segments, such as millennials

Watch the Webinar

FURNITURE WEBINARPull Your Data Together to Grow Market Share

Click this link to

watch the video