3 weeks ago
Aap Beeti vs Jag Beeti: Whose Brand Experience Really Matters?
Imagine you go to a restaurant because many people online say it is wonderful.
But your food is cold and nobody helps you.
Now you are confused: did you have a bad day, or is the restaurant really not that good?
This article calls your own experience 'Aap Beeti,' which means what happened to me.
It calls what other people say 'Jag Beeti,' which means what happened to others.
Today, we see other people's opinions everywhere, on apps, in videos, and even from computers that can summarize thousands of reviews.
These opinions often arrive before we have even tried something ourselves.
The author says this happens not only with restaurants, but also with how we see judges, politicians and even families on social media.
He thinks other people's opinions can give us a new perspective, but they should never make us forget what we really experienced.
Our own experience should always keep one vote in our minds.
The essay contrasts 'Aap Beeti' (personal, first-hand brand experience) with 'Jag Beeti' (others' experiences shared through reviews, ratings, influencers and AI).
Algorithmically curated reviews, such as a 4.7-star restaurant rating paired with a cold meal and an ignored waiter, can make people doubt their own judgment.
The author says the phenomenon extends beyond brands to the judiciary, politicians and families, where curated impressions often clash with personal experience.
Today 'Jag Beeti' comes from about 10,000 people selected by an unknown algorithm, compared with roughly 10 known people in the past.
Kotnala concludes that while both perspectives matter, collective opinion should never persuade anyone that their own experience did not happen.
- Who
- Sanjeev Kotnala, a brand and marketing consultant, writer, coach and mentor, authored this opinion essay about how consumers form brand perceptions.
- What
- The essay examines how algorithm-curated online reviews, ratings, influencer content and AI summaries ('Jag Beeti') increasingly shape perceptions and can overshadow first-hand experience ('Aap Beeti') of brands and institutions.
- Where
- Not specified in the article; the discussion concerns modern digital and social media life generally.
- When
- Not specified in the article.
- Why
- Because curated online opinions now reach people before real experiences, influencing how they judge brands, the judiciary, politicians and even families.
Aap Beeti — trust personal experience
Jag Beeti — trust collective and curated opinion
Judging a brand
Aap Beeti — trust personal experience
A bad first-hand visit (cold food, ignored waiter) proves the restaurant is terrible; personal experience is the most reliable evidence.
Jag Beeti — trust collective and curated opinion
A 4.7 rating and glowing influencer reviews show the restaurant is exceptional; one bad visit may just be an exception.
Trusting one's own judgment
Aap Beeti — trust personal experience
People should not question themselves when a personal experience contradicts the crowd; the experience actually happened.
Jag Beeti — trust collective and curated opinion
Algorithmically selected opinions provide perspective and can stop one unusual bad experience from being over-weighted.
Judging institutions and public life
Aap Beeti — trust personal experience
Personal encounters with delay, complexity or broken public services should define perceptions of institutions and politicians.
Jag Beeti — trust collective and curated opinion
Curated feeds featuring landmark judgments, development and inaugurations represent a broader, more balanced picture than individual frustrations.
Key facts
- Author
- Sanjeev Kotnala
- Author role
- Brand and marketing consultant, writer, coach and mentor
- Article type
- Opinion essay
- 'Aap Beeti' meaning
- Personal, first-hand experience
- 'Jag Beeti' meaning
- Others' experiences via reviews, ratings, influencers and AI
- Past source of 'Jag Beeti'
- Around 10 known people (neighbours, relatives, friends)
- Today's source of 'Jag Beeti'
- Around 10,000 people selected by an algorithm
- Example given
- A 4.7-rated restaurant with a cold meal and an ignored waiter
Quotes
Unknown
Quotable remark from a customer experience
“Everyone loved it.”
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