elevate your research with behavioral data

Post on 23-Jan-2015

228 Views

Category:

Technology

1 Downloads

Preview:

Click to see full reader

DESCRIPTION

Presentation by Melanie Courtright, SVP, Client Services, Americas

TRANSCRIPT

Melanie Courtright SVP, Client Services, Americas

Elevate Your Research with Behavioral Data

2

Agenda

What is Behavioral Targeting?

Where does it apply?

Is it feasible?

How does it compare?

How is it different?

How does it work?

3

Behaviorally Targeted SurveysSurvey panelists based on website visitation

Survey visitors of virtually any website URL and 150+ categories of websites

Survey and segment panel members based on visitation frequency (i.e., heavy, medium and light)

Survey customers and prospects based on their cross-website visitation

Target customers and prospects based on website visitation

Combine survey-based profile data with behavioral data to target respondents with more precision

4

What People Say

Profiling & Screening

4

5

What People Do

Behavioral data

5

6

Applications

Screening CriteriaUse site visitation data as an additional or alternative screening tool to better identify your audience

Site Visitation UnderstandingSurvey site visitors based on frequencyof site visitation

Competitive IntelligenceSurvey visitors to your site vs. yourcompetitors’ sites

Intent to PurchaseIdentify purchase intenders by website visitation

7

Behavior-based Targeting CategoriesOver 150, including …

Automotive Shopping Business & Finance Real Estate Education Movies Games Books Performing Arts Television

Food & Beverage Lifestyle Gambling Government & Politics Health & Medical Fashion IT News Department Stores Sports

8

Key Metrics:

How does it work?

The OnDimension panel is a subset of the Research Now panel whose members have opted in to have their online behaviors tracked via a desktop app downloaded to their PC.

10

OBJECTIVE 1

The Research Challenge

2 main objectives:

Identify auto intenders at the early stage of the decision making process

CASESTUDY

OBJECTIVE 2

Understand the purchase process

11

Audience UnderstandingOnline Behavior

PERIOD

Prior 30 days

SOLUTION

Meter technology & base profiling to identify panelists who have visited a set of automotive websites.

CASESTUDY

12

Auto Intenders

2,500 completes, split behavioral and screened, where screening demos were matched to natural fallout of behavioral data (55% male, 15% under 35, 25% under $50K)

Purchased a Vehicle

Intend to Purchase Vehicle

Gather auto info online

Ford Considerers

Ford Buyers

Gather auto info online

Ford Considerers

17%

23%12%

86%

31%

14%

91%

30% 32%

92%

86%

27%

13%

CASESTUDY

29%

13

Audience UnderstandingOffline behavior

SOLUTION

GPS mobile technology & base profiling to identify panellists who have visited dealerships.

PERIOD

Prior 30 days

CASESTUDY

14

Auto IntendersMember Visits

64% Intenders

71% Online Searchers

CASESTUDY

16

More Case Studies

17

Competitive Intelligence

CASESTUDY

SOLUTION

Using the OnDimension panel, we identified and surveyed members who visited the client’s website and a competitive set of websites based on frequency.

LEARNINGS

The client obtained detailed findings on attitudes about competing websites and was able to gain insights to inform their marketing efforts and messaging / production selection.

PROBLEM

A major online retailer was looking to understand competitive shoppers, rejecters and switchers.

18

Intent to Purchase

CASESTUDY

SOLUTION

Using the OnDimension panel, we identified members who had visited a cruise website in the past 90 days. We then used survey questions to validate those in-market and gauge their motivations.

LEARNINGS

The client gained insights into key drivers of the purchase process and why customers were not considering certain cruise lines.

PROBLEM

A major cruise line was looking to survey people in the market for a cruise to understand their decision criteria.

1919

20

What’s next?

Single-Source Panel

− Highly profiled

− Online metered

− Mobile metered

− and more …

Integrated Data

Purchase Data

Questions?

Thank you!

Melanie Courtright

DigitalUS@researchnow.com

top related