In today’s competitive age, demand generation isn’t merely about filling the pipeline. It is also about nurturing leads and converting them into customers.
Many companies use a CRM (Customer Relationship Management) platform to manage their leads. However, their use of CRM barely ventures beyond managing data. Amidst fierce competition where leads can slip through the cracks earlier than you think, your CRM must serve as a dynamic business growth engine.
This is where AI-powered CRMs step in. As one of the demand generation companies in Pune, we’ve seen CRMs evolve over the years. The latest ones have AI capabilities that revolutionize demand generation, helping entrepreneurs like you optimize and be just to their hard-earned leads.
So, let’s look at five ways AI-based CRMs can help you do that. But before that, let’s quickly review some common challenges of conventional CRMs.
Why Traditional CRMs Fail with Demand Generation – 5 Common Challenges
Here are some of the most common challenges that companies, perhaps even you, might have faced while managing demand generation with archaic CRMs.
1. Data Overload Without Insight: Vast amounts of captured data remain unused. Besides, the inability to analyze data renders the available data useless.
2. Reactive Approach: Over-reliance on manual input and human interpretation. Thus, actions are usually reactive instead of predictive and proactive.
3. Fragmented Journeys: The lack of the capability to unify data from different touchpoints complicates delivering uniform and contextual lead experiences.
4. Limited Personalization: The lack of personalization often results in generic content that fails to resonate with the leads.
5. Manual Lead Scoring: Static, rule-based scoring systems fail to adapt to the evolving environment. Thus, the sales team receives low-quality leads.
5 Ways AI-Powered CRMs Transform Modern Demand Generation
From predictive lead scoring to unifying customer view, these five ways make it evident how AI CRMs help you manage demand generation better.
1.Predictive Leading Scoring
AI algorithms analyze massive datasets that include vital information about demographics, historical interactions, market signals, etc. Furthermore, they help predict the leads most likely to convert with phenomenal accuracy. This enables your team to focus on high-potential prospects, enhancing efficiency and conversion rates.
For example, when a lead downloads a white paper, the leading scoring system immediately increases its score from say 40 to 90, flagging it as a hot MQL.
2. Personalized Customer Journeys
AI helps with dynamic segmentation and real-time content recommendations. It analyzes individual preferences and behavior to help you craft personalized messages, product recommendations, and offers across different touchpoints. These factors make prospects feel valued, making their journeys more meaningful.
For instance, if a lead repeatedly reads financial cybersecurity blogs, the AI-CRM auto-adjusts the next nurture email to provide a cybersecurity case study of a bank.
Let DemandFluence help you harness AI-driven CRMs for smarter conversions
3. Sales Automation and Guided Selling
Tasks such as follow-ups, scheduling, and data entry are significant energy drainers. But AI-CRMs automate these tasks, freeing up your sales team to focus on building relationships and closing sales.
Additionally, AI can serve as a virtual assistant by providing real-time insights during calls, recommending optimal talking points, and suggesting the next favorable action.
For example, when a sales member is about to call a prospect, the AI-CRM analyzes their recent email response and sentiment. It displays a pop-up informing that the lead is zealous about exploring products. Thus, the sales rep can cross-sell or upsell.
4.Marketing Campaign Optimization
Even the best of marketing campaigns can fail if they aren’t aligned with the current market dynamics. AI helps you do that by optimizing your marketing campaigns in real-time. An AI-based CRM helps you analyze performance metrics, identify trends, and generate A/B test variations. These capabilities can help you predict the most effective channels, messaging, and timing for diverse audience segments, increasing RoI.
Let’s say you run an ad campaign on two different platforms. The AI-CRM analyzes the initial outcomes and determines that Instagram ads on Wednesdays at 1:30 PM, seen by the corporate employee segment, have a 15% higher conversion rate. Accordingly, the CRM auto-increases the budget allocation for that particular parameter.
5. Unifying Customer View
Disparate working departments can result in data silos, affecting strategies and impact. But AI-driven CRMs integrate data from different sources, including sales automation, marketing automation, social media, customer service interactions, etc.
Unifying data from these sources helps create a holistic and dynamic customer view. As a result, customer-facing teams receive consistent and comprehensive insights.
For example, a lead registers for a webinar and then also visits the careers page. The AI-CRM links this activity, determining the lead isn’t a buyer but a job seeker. Thus, it removes the lead from the sales pipeline and places them into the recruitment track.
Final Words
AI isn’t just the future but also the present. An AI-based CRM automates tasks, focuses on the quality of communication, and delivers better experiences. The result is smarter strategies, better lead retention, and increased conversions. Partner with DemandFluence, the best demand generation company, to harness the power of AI-based CRM. For more information, please email us at hi@demandfluence.com.
