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How to Get Your Email Marketing Ready for iOS 18, iOS 15, and Mail Privacy Protection
Swastika Singha31 DEC 2024

How to Get Your Email Marketing Ready for iOS 18, iOS 15, and Mail Privacy Protection

Every time Apple rolls out a new version of iOS, some changes affect email marketing, and iOS 15 and 18 are no different. One significant change in recent times is Mail Privacy Protection (MPP), which debuted in iOS 15. This update has changed the way marketers track how well their emails perform, making it really important for them to adapt their strategies to stay effective. With iOS 18 on the way, keeping up with these changes is vital to get the most out of your email marketing. In this blog, we will discuss how to prepare your email marketing approach for iOS 15 and 18, look at the effects of Mail Privacy Protection, and explore the influence of new tools like AI and different inbox tabs. Game Changers: AI and Inbox Tabs Artificial intelligence (AI) has become a game changer in email marketing. With iOS updates and the increasing role of MPP, marketers now rely more on AI to optimize and personalize their campaigns in ways that traditional methods cannot match. AI is being used to automate content personalization, segment audiences more effectively, and optimize sending times based on engagement patterns. Marketers can use AI to adjust their email strategies more effectively in response to changes created by iOS updates. Another important change is the arrival of inbox tabs. This feature sorts emails into different groups like Primary, Social, Promotions, and Updates. Although it helps users keep their inboxes organized, it challenges marketers. They need to make sure their emails reach the correct tab so they can be seen and engaged with. New and Improved Inbox Tabs Inbox tabs have undergone significant improvements, especially with iOS 15 and iOS 18, making it critical for marketers to understand how to optimize email delivery and avoid being categorized as spam or relegated to a less-engaged tab. Here’s what marketers need to know:
  1. Primary Tab: Emails that are most likely to be opened and read by user’s land here. To increase the chances of landing in this tab, focus on high-quality, relevant content that appeals to subscribers on a personal level. This requires more personalized and targeted email campaigns.
  2. Promotions Tab: Emails in this tab are typically more transactional or promotional in nature. To prevent your email from landing here, focus on sending valuable content and avoid over-saturating your list with too many promotional messages.
  3. Social Tab: This tab is reserved for social media notifications and updates from apps like Facebook or Twitter. To avoid being categorized here, make sure your email content doesn’t resemble typical social media or app-based communication.
  4. Updates Tab: The Updates tab shows emails related to subscriptions, billing, and account information. Marketers should focus on presenting their messages as significant updates instead of using vague phrases that could seem like spam. With the release of iOS 18, Apple has improved these tabs, making it even more important to place emails in the right category.
With iOS 18, Apple has further refined these tabs, making it even more critical to optimize for the right category. Marketers need to be mindful of what content resonates with each tab and strategically craft their email campaigns for better inbox placement. What Can Be Done Now Given the changes introduced by iOS 15 and iOS 18, marketers need to take action to ensure their email marketing remains effective. Here are steps you can take right now to prepare:
  • Adopt Mail Privacy Protection (MPP): With MPP in place, Apple hides information about when users open emails and their IP addresses. This change means that open rates alone can no longer tell the full story of your email success. Marketers should now concentrate on other important measures like click-through rates, conversion rates, and engagement levels. It might also be a good idea to explore more advanced email tracking tools and analytics platforms that can provide a clearer look at how users are interacting with your emails.
  • Enhance Personalization Approaches: Since Mail Privacy Protection limits some tracking methods that marketers often depend on, it’s crucial to make personalization a priority. Tools powered by AI can help you tailor content by studying how subscribers behave and adjusting messages based on their preferences, locations, and previous interactions. This strategy will keep your emails relevant and boost engagement even with the privacy changes in play.
 
  • Experiment and Improve for Inbox Tabs: To make sure your emails reach the right folders, it's important to regularly test and improve your campaigns for various inbox categories. Monitor how your emails are sorted and make any needed changes. Try dividing your contact lists to target specific inbox categories better. For instance, emails about product updates should go to the Updates tab, while those promoting sales should be directed to the Promotions tab.
 
  • Utilize AI for Enhancement: AI can be a big help for marketers looking to fine-tune their email campaigns. Consider using AI tools to experiment with subject lines, determine the best times to send emails, and automate content creation. These tools can also examine subscriber preferences and habits to recommend effective personalization techniques. Additionally, AI can assist in analyzing the outcomes of your campaigns, helping you to make informed decisions going forward.
 
  • Prioritize Quality Over Quantity: With the growing focus on privacy and better inbox management, it’s essential to ensure your email content is valuable and high-quality. Refrain from sending too many emails, as this can lead to unsubscribes or cause your messages to land in Promotions or Social tabs. Instead, aim to create engaging content that resonates with your audience, adds value, and fosters a genuine connection.
 
  • Develop Stronger Relationships with Subscribers: Work on building a relationship with your subscribers that goes beyond just the typical email marketing approach. Solicit feedback, inquire about their preferences, and design email experiences that make recipients feel acknowledged and understood. This effort will help boost engagement rates and encourage loyalty.
Future-Proofing Your Email Marketing Strategy iOS 18 is changing our approach to email marketing, so it's important to prepare for new privacy rules and how online behavior is evolving. Privacy is now more than just tracking emails; it’s about how people interact with them. We’re likely to see a stronger shift toward marketing that feels personal and user-focused, prompting marketers to rethink their strategies instead of just focusing on open rates. More and more, we’re seeing interactive elements in emails. These allow readers to participate directly—like completing a survey or making a purchase—making emails a lot more engaging. By incorporating these features, marketers can move away from relying solely on traditional metrics and create emails that inspire immediate responses. Moreover, linking email with other platforms like SMS, social media, and in-app messages can help build a smoother brand experience. This way, if one channel has problems, the marketing efforts can still stay effective overall. Conclusion iOS 15 and iOS 18 brought some big changes, like Mail Privacy Protection and new inbox tabs, which have really changed the way email marketing works. But these updates also open the door for marketers to find new ways to connect with their audience. By using AI to personalize messages, trying out fresh strategies with inbox tabs, and making sure the content is valuable and relevant, marketers can tackle the hurdles these updates bring. With some thoughtful planning that emphasizes privacy, personalization, and engagement, your email marketing efforts can still do well in this new environment.  

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Avoid MarTech Bloat and Stop Bottlenecking Workflows that Drive Key Business Outcomes

06 MAR 2025

Marketing

Avoid MarTech Bloat and Stop Bottlenecking Workflows that Drive Key Business Outcomes

Marketing technology has transformed how businesses engage with customers, automate processes, and drive growth. But there’s a catch—more tools don’t always mean better results. Instead, companies often find themselves buried under redundant systems, inefficient workflows, and disconnected data streams. This MarTech bloat not only stifles productivity but also creates bottlenecks that hinder key business outcomes. The good news? It’s possible to cut through the noise. By integrating the right marketing technology, businesses can enhance customer experience, streamline operations, and align their strategies with critical goals. Here’s how forward-thinking leaders are doing it. Understanding MarTech Bloat: What It Is and Why It Happens MarTech bloat occurs when businesses accumulate a collection of disparate tools that fail to work in harmony. Many organizations adopt technologies reactively—often chasing the latest trends without considering long-term strategy. This results in: Redundant functionalities: Multiple tools serving similar purposes but not integrating well. Siloed data: Critical customer insights locked in different systems, making it hard to get a unified view. Workflow inefficiencies: Teams struggling with multiple dashboards, logins, and manual processes. High costs: Unnecessary subscriptions and licensing fees draining budgets. Instead of fostering growth, an overly complex MarTech stack can slow down operations, confuse employees, and ultimately lead to a poor customer experience. Organizations need to reassess their MarTech strategy to focus on what truly drives results. Integrate More Marketing Technology That Improves CX Efforts The core purpose of marketing technology should be to enhance the customer experience—not complicate it. Yet, many organizations fall into the trap of stacking tools without a clear strategy. Instead of driving engagement, these disjointed systems create friction and inefficiencies. A more effective approach is CX-driven MarTech adoption—selecting tools that directly contribute to better personalization, faster response times, and seamless omnichannel interactions. Here’s what top-performing companies focus on: Customer Data Platforms (CDPs): Unifying data from multiple sources to create a single customer view and deliver hyper-personalized experiences. AI-Powered Chatbots & Automation: Improving real-time customer support and engagement while freeing up human teams for strategic tasks. Predictive Analytics: Leveraging AI to anticipate customer behavior and proactively address needs before they arise. Seamless CRM Integration: Ensuring sales and marketing teams work with synchronized, real-time data to drive conversion rates. By prioritizing MarTech solutions that enhance CX rather than clutter workflows, businesses create a competitive advantage rooted in efficiency and customer satisfaction. How Business Leaders Are Connecting the Dots Between Their Most Critical Goals Business leaders no longer view MarTech in isolation—it’s a key driver of their most important outcomes, from revenue growth to operational efficiency. However, the challenge lies in integrating technology without overwhelming teams or disrupting existing workflows. To bridge this gap, successful leaders are: Focusing on Outcome-Driven Tech Adoption: Rather than chasing trends, they invest in solutions that directly support core business objectives like lead conversion, customer retention, and brand loyalty. Prioritizing Cross-Functional Collaboration: Aligning marketing, sales, and customer service teams to ensure seamless data sharing and a unified approach. Eliminating Redundant Tools: Auditing their MarTech stack to remove overlapping solutions and consolidate functionalities where possible. Embracing Scalable Solutions: Investing in platforms that grow with the business instead of creating future bottlenecks. By connecting their technology investments to tangible business results, these leaders ensure that MarTech is an enabler, not an obstacle. The Answer to MarTech Bloat: More Streamlined, Collaborative Technology Solutions The solution to MarTech bloat isn’t more tools—it’s better, more integrated solutions that facilitate collaboration and efficiency. Instead of a fragmented ecosystem, businesses should aim for a streamlined, interconnected tech stack that minimizes silos and maximizes impact. Here’s how companies can achieve this: Adopt a Centralized MarTech Strategy: Establish a clear framework for evaluating, implementing, and managing marketing technology. Leverage Integration-Friendly Platforms: Choose tools that offer robust APIs and native integrations to reduce workflow disruptions. Encourage Team Adoption & Training: Ensure that marketing, sales, and customer success teams are aligned on technology usage to drive seamless execution. Measure & Optimize Regularly: Continuously assess the impact of MarTech investments and refine the strategy based on performance data. Practical Steps to Simplify Your MarTech Stack Audit Your Current Tools: Identify which tools provide real value and which are redundant. Conduct a needs assessment with your team. Map Out Your Ideal Workflow: Determine the most efficient way data and tasks should flow across departments. Consolidate Where Possible: Replace multiple tools with a single, more comprehensive solution. Focus on Automation: Use AI-driven automation to eliminate repetitive tasks and improve efficiency. Ensure Data is Accessible: A unified dashboard that provides a single source of truth is critical for decision-making. Train Teams Effectively: Ensure that employees understand how to use MarTech effectively to maximize ROI. Regularly Review Performance: Set KPIs for each tool and reassess periodically to ensure they contribute to business goals. The Role of AI and Machine Learning in Streamlining MarTech Artificial intelligence (AI) and machine learning (ML) are game-changers in optimizing MarTech stacks. By automating data analysis, personalizing content delivery, and predicting customer behaviors, AI-powered solutions eliminate inefficiencies. AI-driven marketing automation platforms can: Reduce manual tasks: Automate content recommendations, email responses, and campaign optimizations. Improve lead scoring: Help sales teams focus on high-intent prospects. Enhance customer journeys: Use behavioral data to create personalized, real-time experiences. Future-Proofing Your MarTech Stack The digital landscape is constantly evolving, and businesses need to stay ahead of the curve by future-proofing their MarTech stack. This involves: Investing in scalable platforms that adapt to new technologies and business needs. Prioritizing data privacy and compliance to protect customer trust. Staying agile and open to change, regularly evaluating new solutions that align with evolving marketing strategies. Final Thoughts MarTech is meant to accelerate business growth, not slow it down. By cutting through the clutter and focusing on streamlined, outcome-driven technology adoption, businesses can remove bottlenecks, improve CX, and drive meaningful results. The key is clarity—invest in tools that empower your teams, align with strategic goals, and ultimately enhance the customer journey. When MarTech works for you (instead of the other way around), that’s when real business transformation happens.

Things You Should Know About B2B Intent-Based Marketing

12 FEB 2025

Marketing

Things You Should Know About B2B Intent-Based Marketing

In B2B marketing, understanding your audience’s intent is the key to driving meaningful engagement and conversions. But let’s be real—many businesses still rely on broad targeting strategies, hoping their message sticks. That’s where intent-based marketing comes in, flipping the script and allowing marketers to connect with prospects at the right time with the right message. If you’ve ever felt like your outbound marketing campaigns weren’t yielding the desired results or your content wasn’t reaching the right decision-makers, this blog is for you. Let's dive into what intent-based marketing is, how it differs from outbound marketing, and the top things you need to know to implement it successfully. The Problem with Traditional B2B Marketing Many businesses spend significant amounts of money on marketing campaigns that don’t produce results. Here’s why: Broad targeting: Instead of focusing on high-intent prospects, many businesses waste time on low-intent leads. Lack of personalization: Generic outreach doesn’t resonate with modern buyers who expect tailored experiences. Inefficient budget allocation: Businesses often pour money into campaigns without knowing if their audience is actually interested. Intent-based marketing helps solve these issues by ensuring your marketing efforts are directed at prospects who are actively searching for your solutions. What Is Outbound Marketing? Before we dive into intent-based marketing, let’s set the stage by understanding outbound marketing—the traditional way of reaching potential customers. Outbound marketing is all about pushing messages out to a broad audience, hoping to attract attention. This includes: Cold emails Cold calling Paid ads Trade shows and events Direct mail campaigns While outbound marketing has its place, it often lacks precision. It’s like throwing darts blindfolded—sometimes you hit the target, but most times, you miss. This is where B2B intent-based marketing makes a difference by leveraging real-time data to identify potential buyers who are actively searching for solutions like yours. Understanding B2B Intent Data Intent data is the backbone of intent-based marketing. It provides insights into a prospect’s online behavior, showing what topics, they’re researching, what keywords they’re searching for, and which competitors they might be considering. This data comes from: First-party data – Website visits, content downloads, email engagement, and CRM interactions. Second-party data – Partner platforms that share insights on user activity. Third-party data – Data collected from external sources like B2B review sites, publisher networks, and industry-specific databases. By analyzing this data, you can predict buying intent and tailor your marketing efforts, accordingly, ensuring you engage with leads when they’re most likely to convert. Top 10 Things You Should Know About B2B Intent-Based Marketing Identify B2B Ideal Customer Profiles  Intent data helps refine your Ideal Customer Profile by highlighting businesses that actively show interest in your industry. Instead of chasing leads that may never convert, you can focus on accounts that are already in-market for your solution. Optimize Content Creation Many businesses struggle with content that doesn’t resonate with their audience. Intent-based marketing allows you to create content aligned with what your audience is actively searching for, making it more relevant and engaging. Personalize the Buyer’s Journey Intent data reveals what stage of the buying journey a prospect is in. This lets you craft hyper-personalized messaging—whether it’s an educational blog, a case study, or a product demo invite—to move them further down the funnel. Align Sales and Marketing Efforts One of the biggest problems in B2B marketing is the disconnect between sales and marketing teams. Intent data provides real-time insights that both teams can use to prioritize high-intent leads, improving conversion rates. Improve Ad Targeting and Budget Allocation Instead of wasting money on broad ad campaigns, use intent data to target high-intent prospects. This ensures your ad spend is focused on leads with the highest potential to convert. Enhance Account-Based Marketing (ABM) Strategies Intent-based marketing and account-based marketing (ABM) go hand in hand. By knowing which accounts are actively searching for solutions, you can craft personalized outreach strategies that increase engagement and sales conversions. Reduce Sales Cycle Length Many B2B sales cycles are long and complex. But when you reach out to prospects exactly when they’re looking for solutions, you can shorten the buying cycle significantly. Stay Ahead of Competitors Intent data allows you to monitor when prospects are engaging with competitors’ content. You can use this insight to counter their messaging, highlighting your unique value proposition before they make a decision. Leverage AI and Automation AI-powered tools can analyze vast amounts of intent data in real-time, helping you identify trends and automate personalized outreach at scale. This ensures no high-intent lead slips through the cracks. Measure Success with the Right KPIs Tracking the right Key Performance Indicators (KPIs) is crucial for success. These may include: Engagement rate on intent-driven content Conversion rate of intent-based leads Sales cycle duration reduction ROI on intent-based ad campaigns By continuously refining your strategy based on data, you ensure sustained growth and higher marketing ROI. Common Challenges in Implementing Intent-Based Marketing Data Overload and Analysis Paralysis With so much data available, businesses can struggle to extract meaningful insights. Investing in AI-powered analytics tools can help make sense of the data efficiently. Privacy and Compliance Issues With increasing data privacy regulations, businesses must ensure they handle intent data ethically and comply with GDPR, CCPA, and other laws. Integration with Existing Tech Stack Many companies find it difficult to integrate intent-based marketing with their CRM and marketing automation tools. Choosing platforms with seamless integrations can help ease the transition. Misalignment Between Sales and Marketing For intent-based marketing to work, sales and marketing teams must be aligned in their approach. Regular meetings and shared KPIs can help bridge the gap. Final Thoughts B2B marketing is no longer about who shouts the loudest—it’s about who listens the best. Intent-based marketing helps you cut through the noise and engage with prospects when they’re actually ready to buy. It’s precise, data-driven, and, when done right, incredibly effective. If your current marketing strategy feels like a guessing game, it’s time to shift towards intent-based marketing and start leveraging real-time insights to drive meaningful growth. Want to learn more? Let’s start a conversation about how you can use intent data to transform your marketing strategy!

Understanding Data Brokerage and Its Role in Marketing

10 DEC 2024

Marketing

Understanding Data Brokerage and Its Role in Marketing

Today, data is like gold in our digital world because it plays a significant role in business choices and marketing plans. Have you considered where businesses find all the information, they use to reach us so accurately? That's where data brokers come in—these are the hidden figures in the marketing scene. Data brokerage is a field that gathers, sorts and sells information about people and companies. Marketers, advertisers, and other organizations use this information to improve their tactics and tailor their messages. Although this may seem beneficial for businesses and consumers, the industry faces several problems, such as accuracy, ethics, and various risks. In this blog, we'll break down: What data brokerage is? How data is collected and the challenges of ensuring its accuracy. Risks businesses face when relying on brokered data. Key takeaways for marketers aiming to leverage data responsibly. Let's dive in. What Is Data Brokerage? Data brokerage is about gathering, processing, and selling information about people and businesses. Data brokers serve as middlemen; they collect data from different sources, organize it, and sell it to clients who need it for things like marketing, evaluating risks, and making decisions. What Types of Data Do Brokers Gather? Data brokers gather all sorts of information, including: - Demographics: Details like age, gender, income, and education. - Behavioral Data: Information on online browsing, purchase history, and app usage. - Location Data: Current or past location details from mobile devices. - Social Media Activity: Public posts, likes, and shares. They often merge these data points to create in-depth profiles that can help predict how consumers behave or what they prefer. Who Benefits from Data Brokers? Many industries use data brokerage services, such as: - Marketing and Advertising: To reach audiences with tailored campaigns. - Financial Services: To evaluate credit risk and prevent fraud. - Healthcare: For outreach to patients and planning resources. - Retail: To gain insights into customer preferences and trends. Though the industry has advantages, how data is collected and used often leads to privacy and accuracy concerns. Collecting Data and Its Accuracy Issues Data brokers gather information from different places, which can be grouped into a few key types: Publicly Accessible Data Sources: Government records, social media profiles, and online directories. Challenges: This information can be old or missing essential details. For example, a person's income level in public records might need to be corrected. Online Tracking and Cookies Sources: Your browsing history, online shopping behavior, and ad interactions. Challenges: With stricter rules on third-party cookies, data brokers seek new ways to collect online activity data. This change can lead to gaps in the data and raises questions about whether users have consented. Business Partnerships Sources: Loyalty programs, surveys, and customer databases. Challenges: Sometimes businesses provide data that needs to be more accurate and complete, especially if customers entered the wrong information when they signed up. Buying from Other Brokers Sources: Data brokers often purchase information from one another to improve their profiles. Challenges: Mistakes can build up when information is passed around too much, making identifying inaccuracies challenging. Challenges with Data Accuracy Even with their advanced methods, data brokers struggle to keep their information accurate: Incomplete Data: Customers sometimes provide different amounts of detail, resulting in uneven profiles. Old Information: Data is sometimes updated, which can make it less relevant. Misinterpretation: Algorithms can wrongly guess interests or behaviors, resulting in targeting that misses the mark. The Risks of Using Brokered Data in Business Turning to brokered data can be a gamble. It can help with targeting and understanding customers, but there are some real risks to consider: Privacy Concerns One major worry is how data is used. Companies might buy data gathered without proper consent, which can breach laws like GDPR or CCPA. Such breaches can lead to heavy fines and damage a company's reputation. Data Security Threats More data can mean more trouble. As a company collects more information, it becomes more appealing to hackers. If brokered data holds sensitive customer details, a security breach could result in lawsuits and a loss of customer trust. Mistakes in Targeting Inaccurate, brokered data can cause marketing mistakes. For instance, targeting luxury goods to low-income consumers can harm a brand's image. Dependence on Data Brokers Relying solely on brokered data while using first-party data can help a company connect genuinely with customers. Businesses must create ways to gather data to avoid becoming overly dependent on brokers, which can be expensive over time. Legal Risks Data privacy laws are changing, and not all data brokers know how they operate. Companies that use brokered data must ensure it meets current legal standards; ignorance won't protect them. Important Points for Marketers Marketers must balance data usefulness and critical ethical considerations if they want to use data brokers efficiently and responsibly. Here's the approach: Focus on First-Party Data First-party data, gathered directly from customers through their interactions with your brand, is usually more trustworthy and aligns better with privacy laws. While using brokered data can add to your strategy, having a solid first-party data system is the way to go for a lasting method. Check Your Data Sources Not every broker is transparent or high-quality. Before you buy data, make sure to: Look into the broker's brokers. Ask how they collected the data. Ensure the data meets regulations like GDPR and CCPA. Put Money into Data Verification Use tools to tidy up and confirm the accuracy of brokered data before bringing it into your systems. This helps prevent any incorrect or old information from messing up your campaigns. Be Careful with Personalization While data can help you market more effectively, going too far can make customers uncomfortable. For instance, if you seem to know too much about someone, someone feels intrusive rather than appreciated. Keep an Eye on Legal Trends Stay updated on shifts in data privacy laws. By being proactive, you can avoid compliance issues and maintain customers' set ethical guidelines. Draft internal policies about how your company handles data. This means deciding which data points to use and ensuring that all marketing efforts respect privacy. Teach Your Team Marketers need to understand the ins and outs of data brokerage, including the risks involved and the best ways to handle them. A well-informed team is less likely to make mistakes that could damage your brand. Finding a Good Balance To make the most of data brokers, you must balance what you get from outside sources with what you collect internally. Here are a few tips for businesses to achieve that balance: Combine Your Data Brokered data gives you a comprehensive view while your data goes deeper. Use both to better understand your audience. For instance, mix the demographic data you get from brokers with the behavioral information from your website to improve your targeting efforts. Use AI to Help Artificial intelligence can help when it comes to examining brokered data. It can find patterns and details that you might miss on your own. Plus, AI can spot inaccuracies, which helps you avoid errors. Be Honest with Customers It's important to be precise. It's how you use data. People value honesty, and it builds trust. Being straightforward can also ease any concerns about targeted marketing efforts. Check Your Data Regularly Make it a habit to review your data sources and the brokers you partner with to ensure you're complying with regulations and maintaining good data quality. Conclusion Data brokers are important in today's marketing and advertising world, as they offer useful information that can help businesses grow. But the way they gather data, along with issues like accuracy and ethical questions, means companies need to be careful. For marketers, the trick is to find a balance between the advantages of using data from brokers and the risks involved. Focusing on data they collect themselves, checking the accuracy of brokered data, and following ethical guidelines can enable businesses to use data brokers wisely while gaining trust from their audiences. As data privacy rules keep changing, businesses need to stay flexible and proactive. This way, they can make sure their marketing efforts are effective and follow the rules. By doing this, they can take advantage of data while protecting their reputation and relationships with customers.

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