W4 L1 Flashcards
Review/Rating analytics refers to
to sophisticated analysis focusing on CAUSAL relationships
atings & Review Analytics: Start with Asking a Relevant Question 3 examples
What happens when a firms increase by one star (4 to 5) ?
* What is the impact of my online reviews’ sentiment score from positive (7) to very positive (9) ?
* To what extent my hotel’s bookings are influenced by online customer reviews ? Should I really focus on improving my review scores?
Online Reviews: Review Components examples
Customer Textual Review-Comment * Actual Star-Score rating: (1-5 stars or 1-10 points) * Total number of reviews (ratings) * Timing of reviews: (recency, day-night, weekdays vs weekend) * Visual Elements (with/without, content of image) * Review Device: mobile vs non-mobile
* Location, Country, Status of Reviewers
Google = Largest review platformDoes it mean it is per-se the most influential one?
NO Specialized (yet smaller) platforms can bevery influential on customer decison in their fieldThink of Tripadvisor (Hotels),
On VIVINO: “4” implies a very good wine
On UBER platform: “4” is considered considerably (almost very) negative
It is always best to have a good understanding of
of the DISTRIBUTION of review scores on different platforms.
Knowing distribution is essential to decide your 3
analysis scale, transformations and statistical-regression model (UBER: 4 to 5)
analysis two step process
: (1) scraping and (2) sentiment analysis*
Reasons of Mismatch: between rating score and sentiment anlysis 3
PosiƟve/negaƟve keywords → decide senƟment analysis
Comparison of different product → wrong idenƟficaƟon
No posiƟve and negaƟve keywords → “Neutral”
Impact of Reviews: Mere Presence Matters 2
The purchase likelihood for a product with reviews is greater than the purchase likelihood of a product with no reviews.
For higher-priced products having reviews matter even more. The conversion (%) increase for high-priced products is higher w/ reviews
The review-rating scores have strong impact on
purchase probability.
Position Matters
Replacing a one-star review in position one (top position) by a five-star review increases purchase probability.
Reviews increase purchase probability especially when: 2
(1) Resolve uncertainty about product quality and when (2) they provide informationthat contrasts with other information displayed on the page
A Tricky Question: Do you think the positive reviews for I-Phone 13 positively effects the new model (I-Phone 14) or itself?
Research finds the positive reviews keep coming for older generation of products mainly helps in driving sales for the current generation – not themselves.Besides – this time not surprisingly – current generation + reviews negatively affects the sales of older generation product.
The positive impact of previous generation valence becomes stronger when 2
(1) as the uncertainty in reviews for the current generation increases
(2) when the current generation valence is high.
The positive impact of previous generation valence becomes weaker when 2
(1) as the uncertainty in reviews for the previous generation increases (2) when the current generation has been on the market for a longer time
Purchase likelihood typically peaks at … en begins to decrease as rting aproach …
Purchase likelihood typically peaks at ratings in the 4.0 - 4.7 range, and then begins to decrease as ratings approach 5.0
Negative reviews matter:
Most shoppers actively seek out negative reviews
Peripheral (Reviewer) Factors =
name, gender age total reviews etc
central manifest (content) factors
reviw rating, wrd count, reviw image
central latent factors (content)
message valence, comprehensiveness, reviw readablility ect
Which factors do have the most impact on perceived helpfulness of a customer-user review?
Central/Latent (Content) factors such as: argument quality (comprehensiveness, relevance to the experience) andreview valence,influence the helpfulnness of the reviews better and beyond (b) manifest content and (c) reviewer related factors.
what review is most helpful? low arousal, moderate arousal, high arousa;
Research results suggest that MODERATE Emotional Arousal leads to HIGHER perceived HELPFULLNESS.
Research results suggest that MODERATE Emotional Arousal leads to HIGHER perceived HELPFULLNESS. Psychological Explanation:
Readers may perceive reviewers who appear overly “relaxed” or “fired up” as less helpful, even when they have provided objectively useful information.Inferences on Perceived Reviewer Effort > Highest for moderate arousal and utilitarian products
do you have to respond for moe customer enagement? so yes how?
: Be responsive, respond fast with short-concise responses
Search Marketing Definition
Search Stage consist of all pre-purchase activities a customer is engaged with while searching for a product but also whilecomparing the products, obtaining and collecting information about products and services.
Search Stage: captures
captures the most touchpoint rich and longest phase in customer journeys for most industries.