Linkedin Marketing
linkedin marketing that works
The good and bad of Linkedin marketing
Great tutorial on Linkedin Automation Tools: Here!
most Linkedin Automation Tools range from $49 per month to $199 per month with a range of services.
Our Service Is A One Time Fee of $29 with one customized message.
Our browser based, rotating IP service can be rented for $29 per month with unlimited customized messages.
We don't know all the good and we don't know all the bad of Linkedin marketing, what we can say, is that, it seems to be somewhat effective.
For some brands and marketers, it's a complete waste of time. For other brands and markets, can be a great way to develop a following that does have positive impact on search rankings, useful for idea generation and a great way to keep up to speed on similar brands.
How do we help with your Linkedin marketing strategy?
It depends, we created a simple app that generates up to 30,000 (Linkedin's max linkedin connection limit) connections and sends a customized, automated, message across the platform.
For new brands, that works - we can also create multiple Linkedn profiles to include additional connections and test various Linkedin marketing messages.
As far as we know, Linkedin does have some fairly decent AI attached to their online platform, so, there's always some level of uncertainty to Linkedin marketing.
As a service platform, Linkedin has made very strategic and effective brand moves, tayloring the service platform, mostly for knowledge and service workers with college and post graduate education levels.
We've seen these people make kindergarden level mistakes with marketing messages - it's okay, the best and worst can always be better.
We can make suggestions for your brand, however, that's not really our role for your Linkedin messaging - we can and do, however, assist with scale and some meager suggestions on ways and means to effectively scale.
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As an automation company, our artificial intelligence team can build most anything that one finds in the marketplace today. We typically dwell and take on projects that keep to search engine optimization, search engine marketing, marketing data sets, machine learning, deep learning, natural language processing, marketing automation, syntax and text data analysis and delve into generalized buyer profiles through a set of automated software features.
Due to our company focus being in acquisition and growth models vs. monitoring and tracking services, our predictive analytics are kept to larger aggregators of data sets that are more adept to identifying buyer indicators and online signals . However, we are well aware of the special importance of long term life cycles of generational marketing and buyer trends they follow during set times.
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