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Boost deals closure rate

Boost Deals Closure rate by 1.8X with AI-driven buyer intelligence

  • Online research, multi-channel interactions, and social media shape buyer decisions in the digital age.
  • Sales reps require buyer intelligence, not just traditional CRM, to succeed in the 2023 market.
  • AI enhances customer experience through personalization, predictive analytics, and real-time insights.
  • Prospecting with AI focuses on genuinely interested prospects including similar buyer profiles broadens sales efforts.
  • 360-degree analysis provides comprehensive prospect insights while AI identifies and capitalizes on sales opportunities in real-time.
  • In the digital age, buyer behavior is undergoing a profound transformation. The influence of online research, shift towards multi-channel interactions and the role of social media have revolutionized the way buyers make decisions.

    From the research phase to the final transaction, digital transformation has redefined the entire buyer journey. 

    To truly win in the market of 2023, sales reps need more than traditional CRM; they need buyer intelligence 

    The Role of AI in Understanding the Buyer 

    The multifaceted capabilities of AI are harnessed to elevate the overall customer experience, with a focus on personalization, predictive analytics, and real-time insights into buyer behavior. 

    Personalization and Customization 

    One of the key contributions of AI in buyer understanding is its ability to facilitate personalization and customization.  

    This not only fosters a sense of connection between the customer and the brand but also significantly enhances customer satisfaction. 

    Predictive Analytics 

    By analyzing past interactions and transactional data, AI systems can forecast future trends and anticipate what products or services a customer might be interested in.  

    This forward-looking approach empowers businesses to proactively meet customer demands at the right time. 

    Real-time Buyer Insights  

    AI enables businesses to gather and analyze data as it happens, offering a dynamic understanding of how customers engage with products and services.  

    This immediacy allows for prompt adjustments to marketing strategies, product placements, and customer interactions so businesses can adapt swiftly to changing market dynamics. 

    Boosting Deal Closure Rates with Buyer Intelligence 

    Understanding and leveraging Buyer Intelligence has become imperative for organizations aiming to thrive going ahead.  

    In this section, we will explore four key strengths of buyer intelligence that play a crucial role in boosting deal closure rates. 

    Prospecting with AI 

    In today’s fast-paced business landscape, potential clients aren’t inclined to invest much time with sales teams. Hence, it becomes imperative to focus efforts on those likely to be genuinely interested in your offerings. Achieving sales effectiveness hinges on hyper-targeting prospects at various levels. 

    The use of buyer intelligence to identify the right prospects proves invaluable.  

    Buyer intelligence doesn’t stop at surface-level details like names and positions. Instead, it delves into personal traits, capabilities, deal size influence, and more.  

    When used effectively, this data allows for a finely tuned list of prospects, making outreach more purposeful. 

    Buyer intelligence also aids in segmentation by verticals, companies, business functions, current job titles, and more.  

    This strategic segmentation produces a narrowed-down list of prospects that align seamlessly with your sales objectives. 

    Finding Similar Accounts 

    Within your targeted prospect list, it’s crucial to include similar buyer profiles. This diversification broadens your sales efforts, reaching a larger market rather than fixating on a single prospect. This approach significantly enhances the likelihood of a successful sale. 

    Buyer intelligence facilitates the inclusion of similar profiles across various verticals and business functions, all displaying characteristics akin to those that have closed deals.  

    AI-backed sales intelligence tools like Draup expand the scope to include similar profiles, offering a higher chance of success.  

    These tools also provide in-depth insights into a prospect’s buying behavior, enabling sales reps to tailor their pitches for optimal conversion. 

    360-degree Analysis 

    One standout feature of buyer intelligence is its 360-degree prospect analysis. Going beyond generic information available on public platforms, this analysis equips sales reps with comprehensive knowledge when approaching a prospect. 

    This thorough analysis includes aspects such as executive experience, workloads, business units, business functions, organizational level, opportunity index, deal size influence, budget control authority, global impact, and skills mapping.  

    Inspecting these nuanced aspects provides sales teams with a holistic view, increasing the probability of a successful sale. 

    Identifying and Capitalizing on Sales Opportunities 

    In a competitive market, being proactive in identifying and capitalizing on sales opportunities is a strategic imperative.  

    Here, the role of AI in sifting through vast amounts of data to identify potential opportunities comes to the forefront. 

    Buyer intelligence does this exceptionally by bringing industry-standard data straight to your dashboard as well as opportunity propensity of each company. 

    Dynamic decision-making, facilitated by AI, ensures that opportunities are seized in real-time.  

    Establishing feedback loops based on AI insights allows for continuous improvement, keeping the sales strategy agile and responsive. 

    Personalized Engagement Strategies 

    Buyer intelligence doesn’t merely scratch the surface—it delves deep into a person’s personality.  

    Harnessing the power of AI, it offers specific insights into profiles, empowering sales teams to approach prospects with confidence. This data encompasses personality traits, roles, drives, interests, and motivations of the executive. 

    Buyer intelligence has revolutionized personalized engagement through data-driven strategies. By analyzing vast amounts of customer data, AI enables hyper-personalization in content creation and delivery.  

    This personalized approach goes beyond transactions; it contributes to building relationships based on trust and loyalty. 

    For example, Draup for Sales‘ Rolodex features extensive personality analyses of decision-makers in an organization. This includes metrics such as personality characteristics, personality inference, skills map, and opportunity index.  

    Sales intelligence platforms like Draup  help your teams build hyper-targeted  prospect lists  with the ability to segment prospects through comprehensive and real-time metrics. Draup’s 360-degree view further helps you close higher percentage of deals because you appeal to the prospects’ specific pain points.