Social media has become an integral part of life for most consumers. Three quarters of Americans now use social media regularly. For those between the ages of 18 and 29, usage is over 90%! (It is 80% for those between 30 and 49.) Consequently, social media tech is crucial for successful lead gen. The trick is for an online business to judiciously allocate its limited resources to optimize outreach.

To generate leads, it is necessary to personalize on-site content to maximize visitor engagement so that conversion rates rise as leads consume more content. A well-designed lead gen campaign will be effective at attracting and nurturing the highest-priority leads.

Over the course of a campaign, one must bring the target on a worthwhile journey. That entails maintaining an organic conversation flow; as it dynamically adapts customer interaction based on the words it detects. This means adjusting to the path of dialogue at each juncture in the process. To the degree that deployments can be personalized, there is a higher likelihood of catching people’s attention with initial contact, and of keeping their attention after the first impression has been made. In order to do this, one must be able to customize content—a task that can be performed by a SaaS like LeadMachine.AI. Personalization translates to a higher probability of engagement.

When it comes to analytics, the idea is to collect useful information about all people who visit—even curiosity browsers. Such information can be used to prompt fruitful communication thereafter. It will also show how to respond to changing market trends, and enable marketers to navigate the fluctuating digital landscape. Such conditions invariably impact how businesses engage in lead generation. So, going forward, it is important to track conversations, assess results, and thereby determine what the next best action might be.

Those who stay ahead of the curve use the latest technology to generate leads in innovative new ways. Insofar as we are concerned with generating, qualifying, and converting leads (that is: honing in on viable leads and engaging them), machine learning and NLP (natural language processing) have become pivotal—as demonstrated by voice assistants like Amazon’s Alexa, Google’s virtual assistant, and Apple’s Siri.

Lead gen requires one to procure insights about each prospective customer from reams of marketing and sales data. Sophisticated analytics helps sales teams to design, deploy, and evaluate different conversational strategies. Using culled information, marketers can develop characters to make the conversations between user and an avatar seem more natural. The ability to conduct automated, natural-sounding conversations, which can be tailored to each situation, confers even more advantage.

The idea, of course, is to generate leads by simulating natural-seeming conversation that will succeed in wooing each prospect. This includes not only making a good first impression, but lead nurturing after initial contact. This means having one’s finger on the pulse of the target demographic, and knowing how to strike a nerve.

Predictions about consumer behavior are notoriously difficult. Predictive analytics enables one to better generate, qualify, and convert leads according to their express interests (surmised from online behavior, shopping history, social media habits, etc.) It accomplishes this formidable task by discerning patterns that will help identify the most promising leads. Such insight can also show us how to find new prospects or recommend which existing leads to pursue next. This is vital, as lead gen is ultimately about finding—AND ENGAGING—viable leads.

Timing is also key. Lead gen campaigns must be deployed as the need arises. All this requires one to notice salient trends in consumer activity. One is then better positioned to predict how each target might behave in the future. That entails that one is able to generate, parse, and KEEP more leads; which invariably leads to converting more shoppers to buyers. Well-executed analytics yields the kind of key insights that help companies conduct lead generation guaranteed tAmazon and Netflix have recommendation engines that use AI to promote ideal o convert more leads into sales.

Amazon and Netflix have recommendation engines that use AI to promote ideal products and content to each visitor based on demonstrated consumption habits. This ensures that one is well-equipped to generate more leads. This means culling leads from the traffic that is already coming to a website. After all, the more prospects you track down (and retain), the more deals you can close.

That’s where LeadMachine.AI’s groundbreaking tech comes in handy. It is a platform that seamlessly accomplishes all these crucial tasks without requiring overly-expensive enterprise software. At the end of the day, the goal is to maximize lead generation at minimal cost.