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
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 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

ai in digital marketing
Top Digital Marketing Trends to Watch in 2025
Why Big Data Mining / Analytics is the New Gold Rush
Dirty Data: Embarrassing, Expensive, Avoidable
Building Information Technology Liquidity
Where Did the ‘Data Explosion’ Come From?

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

protecting patient data
How to Protect Psychotherapy Data in a Digital Practice
Big Data Exclusive Security
data analytics
How Data Analytics Can Help You Construct A Financial Weather Map
Analytics Exclusive Infographic
AI use in payment methods
AI Shows How Payment Delays Disrupt Your Business
Artificial Intelligence Exclusive Infographic
financial analytics
Financial Analytics Shows The Hidden Cost Of Not Switching Systems
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

“Average” Statistics that Bruise Our Ears

4 Min Read
CRM business intelligence
Best PracticesBig DataBusiness IntelligenceCRMCulture/LeadershipData ManagementInside CompaniesMarketing

Convergence 2013: CMOs Ain’t Rich, MSDynCRM is Getting There

8 Min Read
data analytics in email marketing
Big Data

10 Essential Data-Driven B2B Email Marketing Strategies

8 Min Read
ai video conferencing
Artificial IntelligenceExclusiveMarketing

5 Ways AI-Driven Video Chats Are More Collaborative

10 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?