LinkedIn has made some major changes to the way it operates. The new limits have had the effect of a bomb in the B2B prospecting sector and we have r

The new limits on LinkedIn: don’t panic! 😎

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2021-05-26 17:00:10

LinkedIn has made some major changes to the way it operates. The new limits have had the effect of a bomb in the B2B prospecting sector and we have received many messages from users who are worried about the future of their lead generation.

No matter how much we tell them not to panic, that everything will be fine, the anxiety is often great. It’s true that the vision of prospecting without LinkedIn is frightening. Especially for many freelancers! We repeat, everything will be fine, because we have worked for you on the solution! And we found it! It seems that we are the only ones on the market at the moment…

In its revolution of late, LinkedIn seems to have listened to its users and put the emphasis on the quality of invitations rather than the quantity. It’s the result of years of abuse that we’ve all taken part in a little bit by selling something on it… So here it is, for LinkedIn, enough is enough. The deployment of new algorithms now makes it possible to treat each account, each user on a case-by-case basis (yes! case-by-case!). No more easily identifiable fixed limits. Now you have to deal with individual limits depending on your activity on the social network. To shorten the concept, you will often hear about : “It used to be 100 login requests per day, now it’s 100 login requests per week. “This is not entirely true. Indeed, this is true if you have been pushing hard on prospecting lately. If your account has been sending a maximum of ten invitations per day for a few months, your limits have not changed! But beware of trust issues… In just a few days, LinkedIn can “censor” you for the good of other users if you take a frantic pace of prospecting. So how do I get my old quotas back? We explain it all to you 😉

For its large-scale checks, LinkedIn uses algorithms developed especially for the occasion. And like us, you know that no algorithm is foolproof…

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