Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Referrals vs Recommendations vs Reviews
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Market Research > Referrals vs Recommendations vs Reviews
CommentaryMarket ResearchMarketing

Referrals vs Recommendations vs Reviews

Trevor Lohrbeer
Trevor Lohrbeer
6 Min Read
SHARE

I’m in the process of buying a house. So I asked my friends and posted on Twitter for referrals to real estate listing agents. Then I realized my mistake.

Contents
  • Referrals Require a Good Match
  • Referrals Require Repeated Interactions
  • Reviews Add Breadth
  • Recommendations Add Depth
  • When To Use Each

I’m in the process of buying a house. So I asked my friends and posted on Twitter for referrals to real estate listing agents. Then I realized my mistake.

See, I have a diverse set of friends who own a diverse set of houses. The ideal listing agent for me might be completely different than the ideal listing agent for them. And asking on Twitter for referrals isn’t much better than going out into the middle of the street and shouting “I need a real estate agent”.

More Read

Optimizing Your Content for Your Target Audience
Flip that Data!
I Hate Social Media Research Because It Doesn’t Have Data On Anything I’m Interested In
Key Trends in Cloud Computing – Mid-2011 Update
HP in the BI Space

In that moment, I realized the weakness of referrals.

Referrals Require a Good Match

Referrals get provided to you by your friends. Whether a referral works for you depends on two dimensions: your personality and your situation.

Referrals work when you have a similar situation and personality to the person making the referral. The greater difference between your situation and theirs, or your personality and theirs, the less likely the referral will be relevant.

If you have a diverse set of friends with a diverse set of circumstances, you may be better off just picking someone at random. The value of referrals diminishes the farther the friend making the referral gets from your situation and personality. Referrals at this point serve only to help you avoid the worst, not obtain the best.

Referrals Require Repeated Interactions

All of us have good days and bad days. Limited interactions with a person or business being referred limit the usefulness of that referral. In real estate, most of us only sell a house every 5-10 years, if that. Many restaurants we only eat at once.

When the person who is making the referral has had a limited number of interactions with the business or person being referred, it’s difficult to get an accurate picture of the value of that referral. That person might be the exception, or random luck played a role with them having a good or bad experience.

Reviews Add Breadth

Looking at review sites can solve this problem. When any one individual has only limited interactions with a person or business, the aggregate of many individuals providing reviews provides a better sense of the overall standing of the person or business. Good businesses bubble to the top, while bad businesses sink to the bottom.

But review sites have similar problems to referrals. If your personality or situation doesn’t match those of the reviewers, the reviews may be useless. Weeding through reviews to find the relevant ones can be painful and most review sites haven’t created filters that let you find reviews that match your personality or situation.

Recommendations Add Depth

Recommendation engines can combine personality and situation with reviews and ratings to provide you choices targeted to your own personal needs.

Take the Netflix movie recommendation engine. While each movie shows how many stars on average it has, Netflix also calculates how many stars it predicts you would give the movie. This is your personal rating. It does this by analyzing all the movies you like and coming up with a personalized recommendation.

Netflix is able to achieve this because you rent a lot of movies, and it can create a computational profile of your ideal movies. Extrapolating this to real estate, Zillow or Trulia could create a recommendation engine that matches listing agents to the types of houses those agents are most likely to sell. By asking users to rate agents they interview when listing their house, they could develop the ideal listing agents for different groups of people.

The disadvantage with recommendation systems is that they often don’t take into account your personality or situation. Netflix provides great recommendations overall, but there’s no way for me to tell it my mood and have it provide recommendations based on that.

When To Use Each

Referrals, reviews and recommendations each have their place:

  • Use referrals when you share a similar situation and personality to the person making the referral and when they’ve had multiple interactions with the person or business being referred.
  • Use reviews when your friends have limited experience with the types of people or businesses being referred, but people overall have extensive experience.
  • Use recommendations when you or others have had many interactions with a type of business, product or person and want to find others that are similar.

Credits: The photo used in this article was taken by Kevin Shorter.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI driven big data company
How AI-Driven Workflows Are Changing the Way Companies Think About Data Risk
Artificial Intelligence Data Management Exclusive Risk Management
ai product development
Why Businesses Outsource AI Product Development Companies
Exclusive News
banking tools
The Fintech and Banking Tools Global Entrepreneurs Rely On
Fintech Infographic
business using business intelligence
How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
Analytics Big Data Exclusive Marketing

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Image
AnalyticsCollaborative DataCommentaryData QualityExclusiveModelingPolicy and GovernanceStatisticsTransparency

When Ideology Reigns Over Data

6 Min Read
use Yahoo answers to drive more traffic
Big DataExclusiveMarketing

Modern Marketers Combining Big Data with Yahoo Answers for Viral Traffic

8 Min Read
Image
Market ResearchMarketing

A Next Gen Marketing Research Entrepreneur

15 Min Read

Is Analytics “Different”?: 2 Lessons in Sales from The Mayflower Madam

14 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?