brand marketing
awareness
personality
reputation
viral consideration
direct marketing
a database-driven interactive process of directly communicating with targeted customers or prospects using any medium to obtain a measurable response or transaction via one or multiple channels
6 Characteristics of Direct Marketing
data-base driven
directly communicating
targeted customers
any medium
measurable performance
multiple channels
1994
the first banner ad
2001
the dotcom bubble burst
2003
CAN-SPAM Act
2007
the first-generation iPhone was released
customer data
all personal, behavioral, and demographic information gathered by marketing companies and departments from their customer base, crucial for informing and shaping marketing strategy decision
types of customer data:
personal data
engagement data
behavioral data
attitudinal data
personally identifiable information (PII)
any information that can be used to recognize an individual’s identity (ex. name, address, date of birth, etc.)
engagement data
tells you how customers interact with your brand via various marketing avenues
behavioral data
helps you uncover underlying patterns that your customers reveal during their purchase journey
→ transactional data
→ product usage
→ qualitative data
attitudinal data
driven by the feelings and emotions of your customers; how they perceive your brand
zero-party data
collected directly from users and customers via surveys, polls, etc.
first-party data
collected directly from users and customers from contract, newsletter sign up and registration forms
second-party data
collected as first-party data by one company and shared with another as a part of a data-sharing deal
third-party data
collected by data brokers or DMPs from multiple companies
customer data by formats:
structured data
unstructured data
structured data
refers to information that either has a pre-defined data model or is an organized in a pre-defined manner
→ usually numeric
unstructured data
refers to information that either does not have a pre-defined data model or is not or is not organized in a pre-defined manner
→ ex. images, videos, etc.
collection types:
declared data
inferred data
modelled data
declared data
is given by the users themselves
inferred data
is not given by the users directly, but is deduced from their behavior
modelled data
uses a large data set to find users matching a desired profile
types of data:
→ declared
→ inferred
→ modelled
→ structured
→ unstructured
Identity (ID) Graph
one database that holds customer profiles and all identifiers that correlate with individual consumers
relational database
a type of database that stores and provides access to data points that are related to one another
Recency, Frequency, Monetary Value (RFM) Analysis
a data-driven customer behavior segmentation technique
RFM Segmentation*
→ enables personalized marketing
→ increase engagement
→ creates relevant offers
→ increases retention
RFM Scoring*
evaluate the attractiveness of individual customers with respect to their transactions over time
traditional approach
→ define demographics and/or geographic traits of targets, create a product matching the need/want of the target, and select media with audiences of the target
→ useful for new products or advertising on traditional media
customer relationship management (CRM) approaches
→ use past transactional databases to identify customer segments with potential to maximize sales
→ useful for b2b sales, e-commerce, email campaign, product improvement
behavioral approaches
→ use online data tracker user behaviors to target customer segments in order to achieve desirable behavioral responses
→ used for ad campaigns
contextual approaches
→ this targeting refers to the placement of a display advertisement on websites that are directly relevant to the product being sold in the ad
→ used for display ad campaigns or outdoor media ads
audience-based approaches
→ the ability to take your full audience of prospective customers and segment it into groups based on different criteria (ex. interests, demographics, etc.)
→ used for social media ad campaigns, mobile ads
Claritas PRISM
finds prospective customers in the US & analyzes households in each major retail area by demographic, lifestyle, and purchasing characteristics then sorts them into 66 geo/demographic segments
facebook pixel
piece of code that you put on your website that lets you to measure effective advertising by understanding actions customers take on website
cohort analysis
subset of behavioral analytics that takes the data from a given dataset and rather than looking at all users as one unit, it breaks them into related groups for analysis
broad vs narrow targeting
broad:
→ good for building brand awareness
→ may find unexpected audience
→ small response rate (need a large budget)
narrow:
→ better response rate
→ may end with a small audience
magic of 10%
only 10% increases in marketing outcomes create almost 200% increase in profits
Testing (experimentation or A/B Testing)
manipulates one or more controllable factors (independent variables - causes) to determine their influence on events or outcomes (dependent variables - effects)
types of tests:
list tests
offer tests (ex. one free ticket)
creative tests
contact strategy tests
top of funnel (TOFU)
Goal: Awareness
→ generate interest, capture attention initiate customer journey
→ ex. PR, SEO, etc.
middle of funnel (MOFU)
Goal: Consideration
→ nurture and guide leads toward becoming qualified customers
→ ex. direct emails, demos, etc.
bottom of the funnel (BOFU)
Goal: Conversion
→ convert potential customers into actual customers
→ ex. limited-time offers, discounts, etc.
return on ad spend (ROAS)
total campaign revenue / total campaign cost
→ 3-4 ROAS is considered as a good ROAS in usual marketing campaigns
views (Instagram vs YouTube)
Instagram looped views are not counted so only the first play is a view — 3 second play
YouTube wants viewers to stay longer on the platform — 30 second play
control group
a group of subjects on which the experiment is not conducted but that is otherwise identical to the test group
test group
a group of subjects on which the experiment is conducted
random assignment
both control and test group subjects must be assigned randomly so that differences between groups occur by chance only
null hypothesis (H0)
that statistic that there is no difference between the means of the groups being compared
alternative hypothesis (Ha)
the hypothesis that is determined when a null hypothesis is proven wrong
statistical test (chi-square test)
the test stats reject the null hypothesis when the probability that the observed result occurs is less than 0.05 (p-value)
Google Analytics
web analytics service offered by Google that tracks and reports web traffic
Google Tag Manager (GTM)
a tool that enables marketers to install, store, and manage tag tracking user activities on website without modifying the code
session
starts when the user visits website/opens app & ends when the user exists and have been inactive at least 30 mins
engaged session
→ last longer than 10 seconds
→ had a conversion event
→ had 2+ screen/page views
event
any interaction or activity that a user has with website/app
conversion
particular events marked by GA4 users as important metrics on website (purchase/subscription)
affiliates
links on affiliate sites
cross-network
ads that appear on a variety of networks (ex. search and display)
direct (brand marketing)
a saved link by entering your URL
display
display ads, including ads on Google Display Network
links in email
referral
non-ad links on other sites/apps (ex. blogs and news sites)
organic search
non-ad links in organic-search results
organic shopping
non-ad links on shopping sites like Amazon or eBay
organic social
non-ad links on social sites like Facebook or Twitter
organic video
non-ad links on video sites like YouTube or TikTok
paid search
ads on search-engine sites like Bing or Google
paid shopping
paid ads on shopping sites or retail
paid social
ads on social sites
paid video
ads on video sites
paid other
ads but not through an ad identified as search, social, shopping, or video
RACE
reach
act
convert
engage
agency holding companies
large corporations that own multiple advertising agencies
What does RFM stand for?
recency, frequency, and monetary value
four primary uses of customer data
targeting
personalization
product recommendation
customer experience design