Machine Learning Lead Scoring In B2b Hospitality Sales
DOI:
https://doi.org/10.63282/3117-5481/AIJCST-V7I6P108Keywords:
B2B, Machine Learning, Lead Scoring, Sales, MarketingAbstract
Understanding B2B sales is an important level when it comes to getting the best outcome from the lead scoring which is a tricky process if not done right; it can be a huge problem for businesses to handle and do it in the right way. Using lead scoring can be a huge process requiring so much labor-intensive work but with technology, everything is working in the right way in terms of classification of data and also analyzing the same data to make sure that it fits what is expected in the long run. Lead scoring is a huge benefit in terms of improving all the rank perspective on which client can be a repeat client in boosting customers and clients with improving leads and sales that are done to fit the prioritized efforts as expected. Having leads doesn’t mean repeat sales or even improving more customers coming in the future, it always starts with having valuable clients that can come many times from the lead generated by marketing teams to make sure that everything works in making sure that business gets more sales which is the ultimate goal of marketing lead scoring. Lead scoring is the key part in making sure that marketing is done successfully with streamlining and improving team sales and marketing efforts
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