Was Your FoodPanda Account Banned Know Why? Here are the Reasons
Nowadays peoples are claiming that foodpanda is banning their Account, Many of us facing this problem, Account banned, delivery problem, and a lot of such issues.
And the obvious answer to this question is known to many. But for some, it is still a mystery because the customer care of Foodpanda is also not responding to such kind of problem.
The Problem answer is not known to us or anyone, Foodpanda never told this to us any inside new but if you have done then you know that what I am going to say is 100% right.
And the Answer for this most awaited 2018 and as well as 2019 question is you are tricking Foodpanda and yes now Foodpanda know that. Many of us do this, not me by the way. For getting more discount we use differently.
And one of the tricks which are mostly used is opening a new account. As there is a special offer for the new user and to grab that fancy offer we use to trick various site back in time. Opening a new account means not doing anything wrong.
But just for getting offer turn it wrong that you are fooling someone and doing this ugly thing, which of course I also had done back in time not now.
But How, How foodpanda Know that this is You? who are doing this…..Opening a new Account to get Offers.
Here is Some Reason, Many Experts thinks as the prime reason to ban your account.
The single answer to this question is, “Because of you. You Allow Foodpanda to Access your detail”
And to be more detail read below and know what Actually happen to foodpanda that banned your account.
Data Analytics and Machine Learning
As you all know this term not very clearly but have some basic, as Google, the tech giant is doing and
Every Google Product in the market has ML and AI. And as Google makes it crystal clear that using this Tech Help them. So do all get is clear that using AI help them too.
So all the Tech Companies Uses AI and Data Analytics to do everything as they have the costumer based they do a lot of experiments. And when result come right. That Help them they apply this on live Audience. The Live user who can be track and scan for any fraud or scam before that going to happen.
And Here also Foodpanda is not different than them nor Special, They also use this tech and do all the tracking and make their company grow and stopping bad thing.
But at last, this is not 100%. It is almost accurate but AI is not at that Position, it lacks human understanding it perform math and it may be wrong sometimes. And here with this much of user being wrong means number of mistakes is more so people getting point is also more.
But a good thing is that AI is an adopting system so one mistake cant get to repeat again if it is done in the same way
Your IP Address
Almost all the people who get banned have done the above thing, of tricking Foodpanda Creating new Account. In doing this (For opening new foodpanda Account) you give different name different address, different mobile But in doing all this one thing you use is common and that where you get caught.
For every phone, your data Operator assign an Ip and that is changing, It is a dynamic address, but most of the time remains same for the user, So IP is static because Ip4 Adress is coming to end IPS Operator made it static Address.
So this is an advantage to foodpanda to decide whether you have a prior account. Are you really a new user of foodpanda..or trying to tricking them.
Because of your Ip address, if you are opening a new account from existing IP Address which is saved in their server. They Flag you and keep
Your Mac Address
Although you Ip is not a static, tricky and hard to track “that it you who are fooling Foodpanda”. Mac Address is Use. Mac address is static and how they know you Mac Address? You, you give them permission to access your location and all other stuff so they get to know everything related to you and your device.
They Know you location Ip and Mac Adress. And If Mac is same for opening a new account and is match with previously present mac.
Confirm you are not a New User. Ok, then you are pinned Or banned.
Your Location is the Key….Location tells a lot about you. This tells them where you are and where you stay where you go often.
All this all your data and all your user data in sync. And why this is the reason they know you.
If delivery boy come to your home both of your device comes close and you are getting track once.
So from this, they know you buy the food once from them. Means “You are their costumer once” Right? And do I need to say what they doing knowing that you are not So-called “New Customer”?
This is why it sometimes takes time to ban your account and sometimes happen soon… There is more parameter on which this depends on but as it is ML and AL and Data Analytic we do not know what other factors they are considering at the Machine level.
Your Mobile OTP
Yes, your Mobile Opt Also tells a lot about you. It is a part of common sense that these Tech companies take advantage.
If the Phone on which the OTP come to Sign up the New Account is not the same from which you are using surfing on the net to log in then.
And someone else number means, you are registered a user and new account means offers, At that time you get caught by Foodpanda.
So after pointing out they keep track of your activity then if they find any other activity mentioned above then they get sure about your trick or whatever you call this. And after combining various data and behavior of all user globally who use to do the same.
Your data is compared and review automatically. So whenever they see probability is more than, “you are using this new user trick” They Banned you immediately. As it is the computer who is doing all this.
So that’s the reason sometimes banned take time and sometimes banned just after opening the account. Data Analytics Compares your data, your behavior, your action, your time is taken to press the key (keystroke) everything.
But many time this get wrong because at last it just math, and probability doing this. So many times because of similar action Actual new User also get Banned. And frustratedly files a complaint.
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