Discover the power of integrating ERP with MarTech to revolutionize your marketing strategies.

Table of contents
1. Considering Purchasing Marketing Contact Lists?
2. Where to Source Business Contacts for Your Database?
3. What’s the Cost of Business Contact Bases?
4. How to Enhance Your B2B Marketing Database?
5. What Are the Benefits of Having This Information?

Running a business? Need to reach out to other businesses? Well, having a bunch of contacts can be extremely helpful. It’s like having a phonebook full of potential customers and partners. Sure, you could buy one, but those can be expensive and not very useful. It’s better to make your own by chatting with people in your industry and collecting information from your website visitors. That way, you get contacts that actually matter to your business.

1. Considering Purchasing Marketing Contact Lists?

Considering purchasing a pre-made contact list? Think twice! While it appears convenient, these lists often contain outdated or irrelevant contacts, squandering both time and money. Building your own database ensures relevance and quality, tailored to your business needs. By networking and gathering contacts yourself, you maintain control over the process, ensuring each contact serves a purpose. This approach not only saves money but also guarantees that every connection is valuable, potentially leading to more fruitful business relationships. So, before reaching for that pre-made list, consider the benefits of creating your own custom database—it’s an investment in quality over quantity.

2. Where to Source Business Contacts for Your Database?

Information about your contacts can come from various places. Social media platforms like LinkedIn and Twitter, as well as company websites, often have personal and organizational data that people share. You could manually gather this data for free, but it’s time-consuming, and there’s no guarantee it’s up-to-date.

Alternatively, there are B2B data providers and lead generation companies offering data lists for sale. However, not all lists are the same—they vary in quality, compliance, freshness, and cost, impacting your targeting accuracy and long-term ROI.

Certain sources, like paywalled websites or financial intelligence platforms, hold valuable customer data. Accessing their databases may require a subscription, permission, or payment, offering rich B2B contact information.

3. What’s the Cost of Business Contact Bases?

Building a business contact base can be costly, depending on your approach. Networking and collecting contacts yourself might only require your time, while purchasing contact lists or using third-party services can incur expenses. Contact database providers vary in price, influenced by factors like the number of contacts, accuracy, coverage, filtering options, lead scoring, direct dials, compliance, intent data, integrations, ease of use, and customer support. Investing in a quality database ensures access to accurate and relevant contacts, facilitating targeted marketing efforts and potentially increasing sales and business growth.

4. How to Enhance Your B2B Marketing Database?

Tracking and updating an accurate organizational database is a key success element for effective B2B marketing. Continuous updating of the outdated contacts as well as segmenting the database based on common factors such as industry and location category will help to make the marketing efforts targeted and individual. Using a CRM system helps marketers keep customers’s information and contacts in one place where they can be quickly found and tracked.
B2B targeted marketing cannot be successful in the absence of high-quality contact data. With the extension of essential data with demographic, firmographic, technographic, chronographic, and intent data, analytics of youthful insights is enhanced. This holistic approach empowers marketers to curate their strategies, forecast the behaviors of consumers, and, in the end, increase conversions. In the present data-driven marketing environment, the quality of contact data often plays a determining role in the success of marketing campaigns.

5. What Are the Benefits of Having This Information?

A robust B2B contact base offers myriad benefits for businesses. Direct outreach to potential clients or partners saves time and boosts efficiency. Personalized marketing campaigns, facilitated by targeted databases, increase lead generation and drive sales. Moreover, maintaining connections with existing customers fosters loyalty and encourages repeat business. For instance, when SaaS marketing teams collect lead details, personalized outreach alone may not suffice. B2B data providers fill gaps, streamlining planning. Combining various information types in a marketing contacts database enhances versatility, enabling the identification of key decision-makers for email campaigns and facilitating highly targeted ABM initiatives.

Nowadays, in the business arena, where everything is about competition, how precisely you develop B2B relationships determines the ultimate success. It proves very useful in many different aspects of your business’s marketing strategy, in a way that will help you to better market your products or services, strengthen your network, and increase the number of customers. Indeed, the main process of getting to the point and preserving a contact base may be time-consuming and labor-intensive, but the benefits exceed the effort. Therefore, start building your network and getting contacts, and your business is guaranteed to flourish!

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Table of contents

1. MarketingCloudFX
2. LinkedIn Sales Navigator
3. Data.com (Salesforce)
4. How to Tell Your Database for B2B Contacts Is Out-of-Date?

A B2B contact database is like a huge list of important information about clients and organizations that can help with sales and marketing. It includes names, phone numbers, and emails. In our experience, good providers make sure to keep updating their data regularly to make sure it’s accurate and useful, especially when trying to get new clients.

Having this database helps you find clients in your market and the best ones to target. Then, you can use it to make your marketing campaigns more personal and effective.

The best databases make sure they:

• Follow privacy rules
• Check that the information they have is correct
• Let you access the information easily
• Have lots of information about different companies
• Work well with popular sales tools
• Are easy to set up
• Give extra information, like what companies might be interested in buying

Based on our experience, we’ve picked the top three B2B database providers that always give the right and up-to-date information.

This database is super important for reaching out to potential customers. With a good B2B contact database provider, you get access to reliable and up-to-date information that really boosts your marketing. But how do you find the right one to start with?

1. MarketingCloudFX

MarketingCloudFX is highly recommended as a top choice for B2B contact database providers. It works alongside WebFX’s data enrichment services, giving you access to a huge database of B2B contacts and adding extra helpful details to your existing data.

With MarketingCloudFX, you can find and focus on the most important potential customers for your business. It uses fancy technology like analytics and machine learning to help with this. Plus, the data enrichment services make sure all the contact information is right, up-to-date, and complete.

Using this combo, your company can make smart decisions and run marketing campaigns that hit the mark every time, getting you the best results.

Who it’s recommended for

MarketingCloudFX is great for any company, startup, or industry. It’s especially good if you want to make finding leads easier and make sure your contact information is spot on. It’s also perfect if you want to automate your marketing and get the most out of your campaigns.

Key features

• Saves time by automating marketing and organizing all your data in one place
• Helps generate more leads by using different marketing methods
• Helps focus on the best leads by sorting them out and grouping them
• Boosts sales by keeping track of leads and managing relationships with customers
• Increases conversions by sending out emails automatically based on what customers do
• Improves marketing campaigns by using detailed data and reports
• Drives more traffic to your business with various marketing tools

Price

• From $675 per month
• No free trial
• Demo available on request

2. LinkedIn Sales Navigator

LinkedIn Sales Navigator is a tool that helps organizations and firms find the right potential clients more easily. It has connections with professionals and detailed profiles, giving you a lot of information to work around.

With this platform, sales teams can get important details and suggestions, making it easier to talk to the right people and close deals. Plus, LinkedIn Sales Navigator has helpful search tools and messaging features, so you can reach out to potential clients and build relationships.

Who it’s recommended for

LinkedIn Sales Navigator is perfect for B2B companies that do a lot of networking to find customers. It’s made for sales reps and managers who want to find, attract, and convert the best clients.

Key features

• Saves and organizes leads to make lists for targeting
• Filters searches to find exactly who you’re looking for and get real-time updates
• Uses templates for messaging to make communication easier
• Works with CRM systems to manage and track leads smoothly
• Recommends leads based on past successes and industry trends
• Gives reports and analytics to see how well your sales strategies are working

Price

From $99.99/user/month
A free trial is available

3. Data.com (Salesforce)

Data.com offers a bunch of services for companies. It has a huge database collection that gives your business the right contact information for reaching out to potential customers and partners.

To make sure the information you have is correct and of good quality, Data.com also offers services to clean up and add extra details to your data. And if you’re already using Salesforce, it’s easy to access and manage all your contacts right within your CRM system.

Who it’s recommended for

This platform has everything B2B marketing and sales teams need, like creating leads, cleaning up data, and adding more information to accounts. It’s great for businesses that want to grow their networks and get bigger.

Key features

• Uses customer data to personalize experiences with Salesforce Einstein
• Connects all your customer data using different tools
• Combines all your data into one place
• Shows the best workflows based on real-time information from the data cloud
• Gives a clear picture of your customers and lets you take action based on what they’re doing, using the data cloud

Price

• Custom pricing
• A free trial is available
• Demo available

4. How to Tell Your Database for B2B Contacts Is Out-of-Date?

If your B2B contact database isn’t up-to-date, it can affect your organization and how much money you make because it might not be helping you find the right people. But there are signs that show it’s time to update it:

• Important information is missing in your CRM records
• You have lots of duplicate entries in your CRM
• You’re not having much luck with cold calls anymore
• More and more of your emails are bouncing back
• It’s hard to connect with potential customers
• You’re struggling to make the customer experience feel personal.
• Your team is getting frustrated
• Productivity is dropping

It’s normal for information in B2B databases to change over time. People change jobs, companies merge, and financial situations shift. But this doesn’t have to be a bad thing. All this can mean new opportunities for you!

For example, if a company that used to be your customer gets bought by another company, you could try to make an even better deal. Or if a company hires a new top manager, you could reach out to them first!

To sum up, having a good B2B contact database is important for reaching potential clients and making more sales. After looking at the top three providers, MarketingCloudFX, LinkedIn Sales Navigator, and Data.com (Salesforce), we found they all offer great tools to help generate leads and keep customers engaged.

MarketingCloudFX is great because it uses smart technology to analyze data and learn about your customers. LinkedIn Sales Navigator is good for networking and finding detailed information about people. And Data.com does a thorough job of cleaning up and adding extra details to your data, making it work seamlessly with Salesforce.

Knowing when your database needs updating is key. If you’re missing information, have lots of duplicates, or are having trouble getting in touch with people, it’s time for a refresh. But fixing these issues can actually help your business grow and come up with new ideas to connect with clients.

In the end, investing in a modern B2B contact database is crucial for staying ahead in business and making the most money possible.

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Explore how businesses leverage AI to enhance their digital marketing efforts. Discover innovative strategies and real-world examples of AI applications in driving marketing success.

Table of contents

• Introduction
• Three Ways Organizations Are Using AI in Digital Marketing to Improve Customer Satisfaction
  1. AI in Marketing: Visual Creation
  2. AI in CRM
  3. AI Chatbot Applications
• Wrap Up!

Introduction

Artificial intelligence [AI] is making a difference in digital marketing as it helps companies automate tasks and improve processes.

AI has evolved tremendously in the past few years, becoming a game changer for digital marketers. AI in digital marketing allows marketers to integrate intelligence elements with human hands. It offers more than just automation or other basic tools; AI imitates the human mind to make informed decisions and perform functions. As a result, it helps marketing teams create effective marketing plans and strategies.

AI can be seen in the pay-per-click marketing domain as it helps in making advertising more effective, personalized websites, creating content, analyzing behavior, and more. According to Forbes, more marketers are realizing how helpful and impactful technology is, as 84 percent of marketing groups have started using AI and machine learning more since 2018.

In this blog, we’ll see how organizations use AI in digital marketing to create better customer experiences.

So why wait? Let’s dive into the world of AI!

Three Ways Organizations Are Using AI in Digital Marketing to Improve Customer Satisfaction

When it comes to improving the customer experience using AI, four significant developments stand out: AI in marketing visual creation, AI in CRM, AI chatbot applications, and AI in content marketing. All of these can help you enhance customer service and support, as well as be more effective by making the content more relevant and targeted. Here’s what you need to know about these technologies and what they can do for you to increase profits.

1. AI in Marketing: Visual Creation

AI’s impact on visual content creation in marketing is clearly visible as it transforms how marketers craft captivating visuals. Through AI, marketers can categorize sets of data trends to produce personalized visuals that resonate with specific target groups. Platforms like Canva and Adobe Sensei showcase this shift by utilizing AI algorithms to propose design elements, layouts, and color palettes customized to user preferences and demographics.

For example, Canvas AI features suggest design elements based on the user’s content and goals, simplifying the design process and ensuring uniformity across marketing materials. Likewise, Adobe Sensei examines user data to offer tailored design suggestions, empowering marketers to generate engaging content.

This fusion of AI into marketing creation not only saves time but also boosts the effectiveness of marketing endeavors. By presenting visuals that align with the tastes and concerns of target audiences, businesses can elevate levels and conversion rates. Consequently, AI-powered tools for creation are proving essential for marketers aiming to refine their marketing strategies and achieve concrete outcomes.

2. AI in CRM

The importance of intelligence (AI) in customer relationship management (CRM) systems is clear, as it transforms how businesses handle interactions with customers and potential clients. Marketers can analyze volumes of customer data to uncover insights and make precise predictions by incorporating AI into CRM.

For example, Salesforce Einstein AI studies how customers behave and suggests personalized marketing ideas based on the data.

AI in CRM helps businesses know what their customers prefer, allowing them to draft personalized marketing strategies tailored to the segmented audience. By forecasting purchasing trends and pinpointing engagement opportunities, AI empowers marketers to deliver focused and effective messages, which leads to customer satisfaction and loyalty.

Using AI in CRM makes marketing better, as it helps businesses connect with their customers and give them a personalized experience. It is a fact that AI will keep getting better; it will become even more important for companies that want to stay competitive in today’s changing market.

3. AI Chatbot Applications

The influence of AI-driven chatbots on customer service and support in the realm of marketing is clearly changing how businesses interact with their clientele. These virtual helpers, powered by AI technology, work in time, engaging smoothly with customers to handle inquiries, suggest products, and facilitate transactions. Services like Chatfuel and ManyChat showcase this advancement by utilizing AI algorithms to grasp language and provide relevant responses based on context.

Installation of AI chatbots into marketing strategies helps companies provide 24/7 support, which leads to a reduction in response times and better customer service.

Businesses can handle many inquiries at once and give each customer personalized help by using AI chatbots. This makes communication easier. As a result, AI chatbots help make customers happier and more loyal, which helps companies succeed in today’s market for a long time.

Wrap Up!

AI is reshaping the marketing landscape by equipping marketers with tools to elevate customer contentment. Whether it’s crafting materials or analyzing consumer data for real-time support, AI is transforming every facet of the marketing journey. As businesses increasingly adopt AI technologies, we can anticipate inventive strategies that yield positive outcomes and enchant customers.

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Table of contents

• Introduction
  1. The Evolution of AI Leads Scoring
  2. The Role of AI in Lead Scoring
     1. Data Collection
     2. Data Analysis
     3. Lead Scoring Model
     4. Predictive Analytic
  3. Traditional vs AI Lead Scoring
  4. How AI-powered Lead Scoring Sets Marketers Up for Success
     1. Identifying and Prioritizing Sales Leads
     2. Identify Upselling and Cross-selling Opportunities
     3. Better Segment and Target Your Leads
     4. Alignment of Marketing and Sales Team
• Wrapping Up

Introduction

In the B2B world of sales and marketing, identifying promising prospects might be an ongoing challenge, as not all leads efficiently create equal business leads. To curb this challenge, the B2B marketing and sales team can harness the power of AI-powered lead scoring.

For a better understanding, let us understand what AI-powered lead-scoring software is.

AI-powered lead scoring is a new concept that utilizes artificial intelligence (AI) and machine learning algorithms (MLA) based on historical data to make predictive analyses for B2B deals about potential conversions of prospects into customers.

In today’s exclusive blog, we will discuss the transformation of AI-led lead scoring and its potential to redefine B2B lead generation.

1. The Evolution of AI Leads Scoring

AI-powered lead scoring is cutting-edge software that helps B2B marketers prioritize leads and focus on those more likely to convert into customers just by analyzing customer interaction and conversion data. This software assigns score leads based on numerous factors, such as customer behavior, historical data, and the quality of the conversation.

Consider a scenario where a potential client inquires to your sales rep about your company’s product or service and the AI lead system can adeptly identify the client’s positive tone of communication, which indicates that they are genuinely interested in making a purchase. The assigned AI software analyzes the conversation and assigns a high score (70–100) to this lead, which indicates that this client is more likely to purchase the product or service that the company provides.

By leveraging the data collection from the CRM system, marketing campaigns, and other sources, the AI software can score leads based on your target audience or buyer persona.

Whether it is a B2B business or an e-commerce website, AI lead scoring can help refine strategies in marketing and customer relationship management (CRM).

2. The Role of AI in Lead Scoring

According to a global survey conducted by a private institute, it is estimated that companies that focus their efforts on correct leads have witnessed an increase of 9%–20% in marketing conversions. Furthermore, to improve lead scoring results, organizations must understand the specifics of their products and services, as this contributes to maximizing their KPIs and reducing downtime by 86%.

The role of AI in lead scoring is simply to eliminate the tedious tasks of data collection and analysis by automating the process so that the B2B sales and marketing team has more time to invest in creating strategies to convert prospects into customers.

For a better understanding, let’s see how AI transforms the lead-selection process:

1. Data Collection

AI software gathers a vast amount of data from various sources, including website interactions, email responses, social media engagement, and CRM systems. This data is essential for assessing lead behavior and intent.

2. Data Analysis

With the assistance of machine learning algorithms (MLA), analyzing this data identifies patterns and trends, as it can detect which read behaviors are associated with successful conversions.

3. Lead Scoring Model

With the help of AI software, you can create a lead-scoring model that assigns scores to each lead based on customer demographics, behavior, and other data points, removing human bias as they look into intricate patterns while analyzing the data. The traditional lead scoring model was usually human bias, as sales reps were more inclined toward leads that they generated, which tends to be inconsistent in purchasing your product or services in the long run.

4. Predictive Analytics

The predictive analysis takes the help of machine learning, which gives a better insight into your sales and marketing teams. Through predictive analytics, which is generally based on historical data and customer behavior, you gain in-depth knowledge about your clients and how to target them so that they turn into qualified leads, which ultimately saves you time and increases your revenue.

3. Traditional vs. AI Lead Scoring

Since traditional lead scoring depends on the marketer’s opinions, it may be laborious and only sometimes correct. Furthermore, this type of lead scoring depends heavily on analysis, intuition, and chance to determine which leads have the highest chance of becoming customers.

Contrarily, AI lead scoring does a lot of the legwork and gathers information from several sources. It determines the characteristics of your ideal client and what signals a potential consumer is likely to buy from you.

For a better understanding, distinctions between AI lead scoring and conventional lead scoring are shown in this more thorough table:

4. How AI-powered Lead Scoring Sets Marketers Up for Success

According to a survey by Salesforce, AI revealed that 98% of them think it improves lead generation because an AI-enabled CRM platform has a wider reach for collecting data compared to standard CRM. The CRM platform offers data to train AI models, making lead generation more accessible when markets do not have enough internal data.

For a better understanding, let’s elaborate on how AI lead scoring helps improve sales capabilities:

1. Identifying and Prioritizing Sales Leads

B2B businesses need to work closely on quality leads for better sales conversion; however, they also need to find quality leads. AI-based lead scoring can help markets and sales teams identify quality leads that are more likely to be converted. The AI lead scoring software can help you filter quality leads out of the bulk lead data, compare non-worthy and worthy deals, and make instant decisions about whether the lead is considerable or not.

2. Identify Upselling and Cross-selling Opportunities

AI-generated lead scoring software helps in acquiring new customer bases and even enhances sales capabilities through cross-selling and upselling opportunities. With the help of CRM platforms with AI-based lead scoring capabilities, you can ensure that the engagement with your existing customers reboots again, which gives the sales team a probability that customers are willing to further connect with you, which improves your sales capabilities in the long run.

3. Better Segment and Target Your Leads

Based on AI lead scores, you can segment your leads into various engagement segments, ensuring seamless targeting and follow-up. In this way, the sales team can be aware of the lead status in every particular bracket. AI lead scoring software automatically generates a score for each of the leads to help understand different sales strategies. Furthermore, they can plan and implement effective and customized strategies to ensure better and faster conversion.

4. Alignment of Marketing and Sales Team

To ensure that the right lead is in the sales pipeline, both the marketing and sales teams should work together and use AI-powered lead-scoring software to analyze the lead’s data to attract them to the right deals. As the whole process of lead scoring is automated, the sales teams get time to focus on the right leads instead of wasting time on leads who are less likely to be converted into customers.

All the above strategies add a new dimension and intelligence to the marketing functions. The implementation of these AI-powered lead-scoring strategies leads to high-scoring leads, which offers valuable insights into the behaviors and attributes that contribute to a successful conversion.

Wrapping Up

We are in an era where demand generation, B2B marketing, and sales teams have to use AI in lead management and conversion processes to streamline these daily operations and also upgrade personalization and efficiency. As these B2B businesses embrace AI, the potential for better customer engagement and increases in sales conversions grows massively.
Marketing industrialists believe that the future of sales and marketing relies on the intelligent application of AI-powered strategies and staying ahead of the digital landscape.

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