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AI for enterprise:
gaining the advantage
Whether your business is in the early stages of AI adoption or already well into its journey, this report is intended to clarify your optimal path forward. With the right foundations, AI dramatically amplifies the power of your enterprise’s data, processes, technology and people. But knowing exactly how, where and when to deploy it demands a strong foundational understanding of its capabilities, limitations and inherent opportunities. We’ve cut through the noise surrounding AI right now to provide just that.
of respondents to our Enterprise Growth Report survey want to integrate and automate technology and data. AI is the answer.
say they want to improve team capabilities. AI can help.
say they want to improve customer experience, engagement and loyalty. AI can help.
Adopt or Die. Failing to make technology and process stick is no longer an option.Learn more
Achieving first-mover advantage with AI.
By being one of the early adopters of AI, your business can gain a first-mover advantage:
AI adoption: where it stands now, where it goes next
Bluprintx spoke to 200 senior figures – marketing directors, marketing ops, creative ops and executives – from a breadth of enterprises. We asked them about their current and future plans for AI adoption.
As the results below show, AI is a fast-moving area, with all but a small minority of enterprises having little to no interest in it.
Are you using AI to assist with your marketing activity?
You can learn how business and marketing leaders view the ongoing adoption of AI by reading The Enterprise Growth Report.
Using AI for content-marketing production.
of respondents to our Enterprise Growth Report survey are already using AI for marketing-content production.
say they have plans to use AI for content production in the future.
say they have no plans to use AI for content production.
INSIGHT: CONTENT PRODUCTION
OVERCOMPLICATED PROCESSES. UNDER RESOURCED TEAMS.Learn more
Driving in-house Marketo adoption for TiqetsLearn more
Using AI to improve customer experience.
of respondents to our Enterprise Growth Report survey are already using AI to improve customer service.
say they have plans to use AI to improve customer service in the future.
say they have no plans to use AI to improve customer service.
INSIGHT: CUSTOMER EXPERIENCE
DRIVING CUSTOMER LOYALTY THROUGH EXPERIENCES.Learn more
AI enables businesses to personalize customer interactions at scale. By analyzing customer data, AI algorithms can understand individual preferences, purchase history, and browsing behavior. This information can be used to deliver personalized recommendations, tailored offers and targeted communication. AI can suggest relevant products based on a customer’s previous purchases, or provide them with personalized product-usage tips.
AI algorithms can also analyze customer behavior on a website or app in real-time, and dynamically adapt the content displayed. This helps create a sense of relevance and responsiveness, enhancing customer engagement and satisfaction.
Chatbots and virtual assistants
AI-powered chatbots and virtual assistants are increasingly being used to handle customer inquiries and provide instant, 24/7 support. Fully automated, these systems can engage in real-time conversations, understand customer queries, and deliver accurate responses.
By leveraging natural language processing, chatbots can assist with common questions, provide product information, and guide customers through troubleshooting processes. This allows businesses to provide 24/7 support, improve response times, and enhance customer satisfaction.
AI can analyze customer feedback and sentiment across channels such as social media, emails or surveys, assessing the opinions and satisfaction levels expressed by customers.
This allows businesses to gain valuable insights into customer perceptions, identify potential issues, and proactively address concerns. Sentiment analysis helps businesses improve their products, services and customer support based on honest, real-time feedback.
Predictive customer support
AI can help predict and prevent customer issues before they occur. By analyzing historical data, AI can identify patterns and trends that indicate potential problems. This allows businesses to take proactive measures to prevent issues or provide preemptive support.
For example: AI can predict delivery delays, and proactively make customers aware in advance so that they’re not expectantly awaiting a delivery. This, in turn, enhances the customer experience, engendering loyalty and brand advocacy.
Bringing automation online in 60 days for TiqetsLearn more
Using AI for customer data analysis.
of respondents to our Enterprise Growth Report survey are already using AI to improve customer insights.
say they have plans to use AI to improve customer insights in the future.
say they have no plans to use AI to improve customer insights.
INSIGHT: CUSTOMER DATA
WHY IT’S CRUCIAL TO HAVE INTEGRATED AND AUTOMATED DATA AND TECHNOLOGY.Learn more
AI can automate the process of collecting customer data from various sources. AI algorithms can crawl websites, extract information from online forms, or scrape social media platforms to gather relevant data about customers.
AI-powered tools can also integrate with customer relationship management (CRM) systems, e-commerce platforms, or loyalty programs to capture and consolidate data in a centralized manner.
AI can help clean and organize customer data to ensure its accuracy and quality. AI can detect and correct errors, standardize formats, and remove duplicates or irrelevant information.
Additionally, AI will continuously learn from its own data-cleaning process, and improve its accuracy over time. This helps enterprises maintain a clean and reliable database for analysis.
By integrating data from across different sources and formats, AI can create a unified view of the customer. AI algorithms can, for example, merge data from CRM systems, website analytics, social media platforms and other sources into a single, cohesive dataset.
Such integrations allow businesses to gain a better understanding of customers’ interactions, behaviors and preferences.
AI algorithms can analyze vast amounts of customer data to identify patterns, trends, and insights. AI can uncover correlations, segment customers into specific groups, and make predictions about future behavior.
This helps businesses gain actionable insights to shape decision-making, such as identifying target audience segments, improving product offerings and optimizing marketing campaigns
Personalization and recommendation
As touched upon above in ‘Using AI to improve customer experience’, AI can leverage customer data to deliver personalized recommendations and experiences.
By analyzing individual preferences, purchase history, and browsing behavior, AI can suggest relevant products, content or offers to each customer. This personalization enhances customer engagement and increases the likelihood of conversion.
Leveraging Marketo expertise for Uber EatsLearn more
Ryan Forrest, Global Director of Strategy & Presales
Ryan is responsible for establishing and supporting a global network of next generation consultants to design and deliver growth for some of the world’s largest organizations.Meet the team