LeadGeeks Inc - Sales and Marketing Archives

Valentino Arnawa January 29, 2026 No Comments

The Real Reason We Believe in Humanized AI in Sales

The rise of AI in sales has sparked equal parts excitement and concern. On one side, teams see massive gains in speed, scale, and efficiency. On the other, buyers increasingly complain that sales outreach feels robotic, impersonal, and disconnected from real needs. This tension is not accidental. It comes from a misunderstanding of what AI should actually do inside modern sales teams. Humanized AI in sales is not about choosing between automation and people. It is about designing systems where AI amplifies human judgment, empathy, and relevance rather than replacing them. That belief shapes how high performing teams use AI today and why fully automated sales approaches consistently fall short. Why “More Automation” Was Never the Goal The limits of automation first thinking in modern sales teams Many sales teams adopted AI with a single goal in mind: do more with less. More messages, more accounts, more sequences, more activity. Automation became synonymous with progress. The problem is that sales is not a manufacturing line. Conversations are not interchangeable, and buyers are not passive recipients of messaging. When automation becomes the goal instead of the tool, teams unintentionally remove the very elements that make sales effective. Automation first thinking often leads to: Over standardized messaging that ignores buyer context Faster execution of flawed strategies Increased activity without improved outcomes Instead of accelerating performance, automation simply scales mistakes. Why efficiency alone breaks trust in sales conversations Efficiency matters, but trust matters more. Buyers are increasingly sensitive to effort, intent, and relevance. When outreach feels automated, even if the copy is polished, trust erodes quickly. Humanized AI in sales starts with a different question. Not how fast can we send messages, but how can we use AI to help salespeople show up more prepared, more relevant, and more respectful of buyer attention. The Problem With Fully Automated Sales AI How robotic sales messaging erodes credibility Fully automated outreach often sounds impressive on paper. Personalized fields, dynamic variables, and AI generated language promise relevance at scale. In practice, buyers experience something very different. Robotic sales messaging tends to share common traits: Overly polished language that lacks natural tone Surface level personalization that signals automation Poor timing that ignores real buying context Instead of feeling helpful, these messages feel transactional and scripted. Credibility suffers as a result. Where AI fails without human judgment in AI driven sales AI excels at pattern recognition, summarization, and speed. It struggles with nuance, intent, and emotional context. Without human judgment, AI cannot reliably determine: Whether a prospect is actually a good fit When a message should not be sent at all How sensitive topics should be framed Removing humans from these decisions leads to outreach that is technically correct but strategically misaligned. The hidden cost of removing empathy from outreach Sales empathy is not about being friendly. It is about understanding pressure, priorities, and constraints from the buyer’s perspective. Fully automated systems cannot feel hesitation, urgency, or fatigue. When empathy disappears, outreach becomes noise. Long term brand trust erodes even if short term metrics appear healthy. What We Mean by Humanized AI in Sales Human in the loop sales AI as a design principle Humanized AI in sales starts with a clear principle: humans remain accountable for decisions, AI supports execution and insight. Human in the loop sales AI means: AI prepares information and suggestions Humans decide what to send, change, or discard Final accountability stays with the salesperson This structure ensures AI enhances judgment rather than replacing it. Balancing automation and human touch at scale Scaling does not require removing humans from the process. It requires designing workflows where human input happens at the highest leverage points. For example: AI accelerates research and signal gathering Humans craft intent and positioning Automation handles delivery and sequencing This balance preserves relevance while maintaining efficiency. Augmented intelligence in sales vs replacement thinking Augmented intelligence in sales reframes AI as a partner, not a substitute. The goal is not fewer salespeople. The goal is better prepared salespeople who spend more time thinking and less time searching, formatting, or guessing. How AI Should Actually Support Sales Teams AI augmented sales teams and better decision making When used correctly, AI gives sales teams better inputs, not final answers. It helps reps see patterns they would otherwise miss and prioritize their efforts more intelligently. AI augmented sales teams benefit from: Faster insight synthesis across accounts Clearer segmentation and targeting signals Reduced cognitive load before outreach This leads to better decisions, not just faster ones. Context aware AI sales tools for research and preparation Context aware AI sales tools shine during preparation. They can summarize account changes, surface relevant triggers, and organize information in a way that is easy for humans to evaluate. Instead of writing messages, AI should answer questions like: What changed at this company recently Why might this role care right now What risks or opportunities are visible This supports relevance without scripting behavior. AI supporting relationship based selling, not shortcuts Relationship based selling requires understanding, patience, and timing. AI can support this by reducing prep time and highlighting context, but relationships are built through human interaction. Humanized AI in sales reinforces relationships by freeing reps to focus on listening and thinking instead of clicking and copying. Where Humans Must Stay in Control Human judgment in prospect qualification and messaging No algorithm understands your ideal customer profile better than a salesperson who has spoken to real buyers. Prospect qualification requires judgment, not just filtering rules. Humans should always control: Who is worth contacting Why now is the right time What value is most relevant They can help in brainstorming, but AI shouldn’t be the ones making the decisions. Humans should. AI personalization combined with human intuition AI personalization without the knowledge and intuition of humans often becomes shallow. Human oversight ensures personalization reflects actual relevance rather than cosmetic changes. Effective human oversight includes: Editing tone to sound natural Removing assumptions AI cannot verify Choosing restraint over over personalization This keeps outreach

Valentino Arnawa January 4, 2026 No Comments

10 Onboarding Mistakes Sales Teams Make You Can Fix Right Now

Sales onboarding is one of the most underestimated drivers of revenue performance. Many organizations invest heavily in hiring, tools, and demand generation, only to see new sales reps struggle for months before contributing meaningful pipeline. In most cases, the issue is not talent. It is onboarding. Onboarding mistakes sales teams make early on compound over time. They slow ramp, weaken confidence, create inconsistent messaging, and ultimately hurt quota attainment. The good news is that most of these mistakes are fixable without a full overhaul. Small structural changes can dramatically improve new hire productivity and retention. This guide breaks down the ten most common sales onboarding mistakes and explains how to fix them immediately. After reading this blog post, you will understand: Why sales onboarding is a direct revenue lever, not an HR or training function How early onboarding mistakes extend ramp time and delay pipeline contribution The difference between training reps and enabling real sales performance Why lack of structure creates inconsistent quota attainment across teams How information overload in the first 30 days hurts confidence and retention Why feature focused onboarding leads to weak discovery and poor buyer conversations How inconsistent messaging undermines trust with prospects The critical role of early coaching in accelerating rep effectiveness How poor sales process and CRM training cause pipeline leakage Why misalignment between Sales, Marketing, and RevOps slows productivity The danger of measuring activity instead of true sales readiness How to build feedback loops that keep onboarding relevant and effective over time Why Sales Onboarding Directly Affects Your Company’s Revenue Sales onboarding is not an HR function. It is a revenue function. The way new reps are introduced to your product, process, and buyers determines how quickly they can generate pipeline and close deals. The Hidden Link Between Onboarding Quality and Quota Attainment Teams with strong onboarding programs consistently outperform those without them. Effective onboarding shortens sales rep ramp time issues, increases early pipeline creation, and improves forecast reliability. Poor onboarding leads to missed quotas, higher churn, and uneven performance across the team. When reps understand who they are selling to, how they create value, and how success is measured, they gain confidence faster. That confidence shows up in better conversations and stronger execution. Why Most Sales Rep Ramp Time Issues Start in the First 30 Days The first thirty days set the tone for everything that follows. This is when reps form habits, internalize messaging, and learn how decisions get made. If this window is filled with unclear expectations, information overload, or disconnected training, it creates gaps that are difficult to fix later. Mistake #1: Treating Onboarding as Training Instead of Performance Enablement Many companies view onboarding as a checklist of training sessions rather than a system designed to produce selling outcomes. How This Mistake Extends Ramp Time and Reduces Early Pipeline When onboarding focuses only on content delivery, reps learn concepts without knowing how to apply them. They may understand the product but not how to run a discovery call or qualify an opportunity. This delays real selling activity and reduces early pipeline creation. How to Fix It: Align Onboarding With Real Selling Activities Effective onboarding ties learning directly to execution. Reps should practice real scenarios, shadow live calls, and start prospecting early with guidance. Performance enablement means teaching what reps need to do, not just what they need to know. Mistake #2: Lack of a Structured, Repeatable Onboarding Framework Unstructured onboarding leads to inconsistent outcomes across reps and teams. Why Unstructured Onboarding Creates Inconsistent Sales Outcomes When onboarding varies by manager or region, reps receive mixed messages about priorities and expectations. This creates confusion and makes it difficult to identify what is working. It also introduces sales playbook misalignment across the organization. How to Fix It: Build a Clear 30–60–90 Day Onboarding Plan A structured plan provides clarity and accountability. A strong framework defines learning goals, performance milestones, and skill development stages for each phase. This helps reps track progress and helps managers coach more effectively. Mistake #3: Overloading New Reps With Information Too Early Many onboarding programs overwhelm new hires with too much information at once. How Cognitive Overload Kills Confidence and Retention When reps are flooded with product details, internal processes, and tools in the first weeks, they struggle to retain anything. This leads to anxiety, self doubt, and lower engagement. Cognitive overload is a major contributor to new hire sales performance problems. How to Fix It: Prioritize Need to Know vs Nice to Know Content Successful onboarding focuses on what reps need to perform their role immediately. Additional depth can be layered over time. This phased approach improves retention and builds confidence through early wins. Mistake #4: Teaching Product Features Without Buyer Context Feature focused training is one of the most common sales onboarding errors. Why Feature First Training Leads to Poor Sales Conversations Reps who learn features before buyer context tend to lead conversations with product descriptions instead of questions. This results in generic pitches and weak discovery. Buyers do not buy features. They buy outcomes. How to Fix It: Anchor Training Around Buyer Problems and Outcomes Training should start with buyer pain points, use cases, and decision criteria. Product knowledge should be framed as a way to solve specific problems. This creates stronger, more relevant sales conversations from the start. Mistake #5: Inconsistent Sales Messaging Across Teams Inconsistent messaging erodes trust both internally and externally. How Messaging Confusion Undermines Buyer Trust When reps hear different positioning from marketing, enablement, and leadership, they struggle to communicate a clear story. Buyers pick up on this inconsistency and lose confidence in the solution. How to Fix It: Create a Single Source of Truth for Sales Messaging A centralized messaging framework ensures everyone uses the same language, value propositions, and narratives. This alignment improves credibility and shortens sales cycles. Mistake #6: Weak or Infrequent Coaching in the First 60 Days Coaching failures in sales teams often show up early. How Coaching Gaps Stall Skill Development Without regular feedback,

Valentino Arnawa June 23, 2025 No Comments

Hyper Personalization Strategies in B2B Tech Marketing: From Data to Results

Written by Gabriela Loupatty, Intern at LeadGeeks, Inc. The Power of Hyper Personalization in B2B In B2B tech marketing, generic outreach no longer delivers results. Whether it’s inbound or outbound, marketers are putting much more emphasis in personalized content. Buyers expect messages tailored to their business context, challenges, and intent. Some still treat personalization as optional. But when you match the message to the moment, results often speak louder than predictions. Picture a CRM manager sending thousands of emails with minimal engagement or a martech specialist struggling to activate meaningful campaigns. Hyper personalization changes this. It connects clean data, behavior insights, and decision triggers to fuel customized content and interactions that drive action. This blog explores what hyper personalization strategies means in B2B, how it differs from basic personalization, and how tech marketers can build data-driven, scalable strategies for real results. What Is Hyper Personalization and Why Does It Matter in B2B? Basic personalization are common ways we makes messages feel personal; like inserting a first name or company name into emails. Hyper personalization strategies is similar, but goes far deeper. It uses intent data, behavioral signals, and firmographics to deliver relevant messages across the buyer journey. Instead of sticking with just mentioning their first name or company, it may include relevant recent activities, changes in company structure, specific posts they made that showcase their pain point and many more. In short, this kind of personalization will not only feel personal, it will also be deeply relevant to why your solutions will be useful to your prospects. What Sets It Apart: This relevance drives stronger engagement, increases trust, and shortens sales cycles. From Signals to Segments: Mapping the Data Journey The foundation of hyper personalization strategies are clean, structured data. Here’s how B2B marketers can connect data to experience: A platform like Salesforce Data Cloud can help centralize this journey. Personalization engines that allows A/B testing like Adobe Target can automate delivery. The result is marketing that feels one-to-one, without being manually built every time. Technologies that Support Hyper Personalization Yes, hyper personalization is possible without automation and in an ideal world you would like it to always be human-to-human. However, if you process everything manually, it will take forever to process all the prospects you have. To move from idea to execution, B2B teams must unify data, orchestrate workflows, and activate messages across multiple channels. Without a way to make it more automated, it will either be way too consuming or cut too much corners in personalization. Lets cover the 3 main technologies you need to consider to prevent this. Customer Data Platforms (CDPs) A Customer Data Platform serves as the foundation of any hyper-personalization strategy. It gathers and unifies customer data from every touchpoint into a single, actionable profile. In B2B tech, CDPs can track behavior across email, websites, mobile applications, and product usage while maintaining account-based structures. Use case: A cybersecurity software provider notices that a prospect browses multiple product pages related to endpoint protection. Their CDP records this activity and assigns the user to a segment focused on threat detection, automatically triggering a follow-up campaign that includes relevant demos and customer success stories. CRM and Marketing Automation Once data is centralized, integration with a CRM and marketing automation platform ensures that personalized messaging reaches the right individuals at the right time. Modern CRMs such as HubSpot or Salesforce can sync with CDPs to deliver highly relevant emails, notify sales reps in real time, and power multi-channel campaigns. Best practices include: Personalization Layers for Digital Experiences Your content delivery system must be flexible enough to support dynamic messaging. The platform you use need to be able to allow content teams to tailor landing pages, resource centers, and calls to action based on visitor profile or behavior. Examples of use in action: These are not cosmetic changes. They improve conversion by aligning messaging with what the buyer cares about in that moment. Making It Scalable Hyper-personalization does not mean creating thousands of one-off messages. With a solid martech foundation, clear segments, and modular content, B2B marketers can deliver unique experiences that feel tailored while keeping operations efficient. In B2B tech, success is not measured by effort alone. It is defined by outcomes. Once personalization is in place, teams need to evaluate whether their data-driven experiences are moving the needle. Measuring What Matters To prove the value of hyper-personalization, focus on metrics that reflect buyer progress through the funnel and revenue impact. Key performance indicators include: McKinsey reported that companies using personalization at scale achieve 40 percent more revenue from those efforts compared to those that do not. In B2B, where deal cycles are longer and buying groups are larger, even small improvements in conversion or velocity can generate substantial gains. Continuous Optimization Personalization is not a set it and forget it strategy. It requires a feedback loop across teams. Insights from sales should inform new segments, campaign data should refine messaging, and changes in buying behavior should trigger content updates. Strategies to keep personalization sharp: By aligning content, data, and platform insights, you create a self-improving system that evolves with the buyer. The rise of AI, privacy regulations, and self-guided buying are reshaping how businesses engage. Hyper personalized strategies is no longer an optional approach. It is a competitive advantage. B2B marketers who deliver relevant, timely, and experience-driven interactions will stand out in saturated markets and shorten the distance between awareness and revenue. If you are on a lookout for a team that will assist you in providing and tackling high-quality leads with hyper personalization strategies for your business to business sales, why not try LeadGeeks? Our expertise and experience can guide IQLs all the way until they are ready to buy! Want to talk to us? Click below!

Valentino Arnawa June 23, 2025 No Comments

What Is Generative Engine Optimization? 101 Guide

Written by Gabriela Loupatty, Intern at LeadGeeks, Inc. What Is Generative Engine Optimization? Generative Engine Optimization, or GEO, is the strategy forward-thinking B2B marketers need to understand now. Why? Because the way people search for information is fundamentally shifting and the search bar as we know it is being replaced by intelligent, conversational AI engines. It’s like asking a robot colleague for advice, not flipping through a search directory. This is no longer the future. It is already happening. Lets dive into how GEO shifts how we optimize search engines and what you can expect to improve moving forward! The Shift from Search Engine Optimization to Generative Engine Optimization Where SEO helped content rank in keyword-driven, link-based search engines, GEO is about making your content useful and visible to AI-driven engines that summarize, synthesize, and contextualize. You want your content to be the AI’s favorite pick, like the reliable coworker who always has the best slide deck. Generative engines interpret content differently. They look beyond keyword matches. They rely on structured data, entity relationships, and semantic depth to determine which sources to include in their answers. In other words, GEO requires marketers to optimize for how AI systems read, understand, and repurpose content, not how users scan search results. How GEO Emerged The concept of GEO was born from the evolution of generative AI tools and their growing influence on user behavior. As users ask longer, more complex questions, engines like ChatGPT, Bing Copilot, and Google’s Search Generative Experience (SGE) attempt to summarize relevant information in real time. This means that B2B marketers can no longer assume their audience will land on their websites through a ten-link results page. Instead, they must build content that AI can parse, reference, and trust enough to cite directly in generated outputs. GEO Is Not Just SEO with a New Name While SEO focuses on backlinks, meta tags, and keyword relevance, GEO goes deeper: If you are building content only for Google’s traditional crawler, you are already behind. We are not replacing SEO. We are adding a new lens for how content is found, read, and summarized by generative engines. Why Generative Engine Optimization Matters for B2B In high-tech B2B marketing, where long sales cycles, technical solutions, and multiple stakeholders are the norm, visibility in generative engines is becoming mission-critical. Decision makers are increasingly relying on AI-powered tools to gather research, summarize reports, and even shortlist vendors. If your content is not optimized for this new model of information retrieval, it risks being skipped entirely, not just on page two, but left out of the AI’s synthesis altogether. Generative Engines Do Not Index Like Traditional Search Traditional search engines crawl and rank based on backlinks, load times, and page structure. Generative engines analyze content contextually. They determine whether your content supports the user’s query with relevance, depth, and trust signals. This means B2B content that is long-form, authoritative, and semantically structured is more likely to be selected by AI for inclusion in answers. That is why GEO focuses less on short keyword-stuffed pages and more on comprehensive, well-structured information hubs. Core Elements of GEO for B2B Here are the foundational strategies B2B marketers must integrate to succeed with GEO: Structured Data Use schema markup to define the context of your content. Tag job titles, product specs, event information, and FAQs. Structured data makes it easier for AI systems to parse and prioritize your information. Entity-Based Optimization Focus on entities, not just keywords. Entities are named concepts such as companies, tools, categories, and locations. When you mention Salesforce, AWS, or cybersecurity frameworks, link them to their recognized identities to build semantic relationships. Content Designed for Answers Use clear H2s and H3s, define terms, and break down concepts logically. AI systems often favor content that mirrors how a human expert would explain a topic to a colleague or executive. Long Form Expertise Publish deep dives, not just listicles. Long-form, authoritative content tends to rank better in generative results because it allows AI to extract definitions, use cases, and comparisons all from a single source. Consistency and Trust Signals Make sure author bios, publication dates, sourcing, and E E A T principles (Experience, Expertise, Authoritativeness, Trustworthiness) are clearly shown. AI engines factor trust indicators when determining whether to surface or summarize your content. Real World Use Case: AI-Assisted Vendor Selection Imagine a VP of Procurement asking an AI assistant, What are the most scalable API monitoring platforms for SaaS startups? The AI will likely reference long-form content that includes case studies, scalability metrics, and comparisons with other tools. If your content includes those data points and is structured in a way the engine can easily extract and repurpose, you increase your chances of being featured in the result — possibly without a traditional click ever happening. Should I Future-proof for GEO? The short answer would be: Yes! Generative Engine Optimization is not a passing trend. It represents a fundamental shift in how digital content will be discovered, interpreted, and used. As generative engines become more embedded in everyday workflows, from product research to executive briefings, the cost of being invisible rises significantly. For B2B marketers, this shift presents both a challenge and an opportunity. The challenge is clear: traditional SEO playbooks are no longer enough. The opportunity lies in leading this evolution. GEO encourages the kind of content marketing that already works well in B2B; thoughtful, in-depth, and aligned with complex buyer needs. How to Start Implementing GEO Today You do not need to rebuild your strategy overnight, but taking a few key actions can put you ahead of the curve: By taking a more intelligent, structured, and semantically aware approach, your content will become easier for AI engines to find and use, and more valuable for your audience. Generative Engine Optimization is not a separate channel or tactic. It is the future of digital discoverability. B2B brands that understand and implement GEO early will not only increase their visibility but shape how their industry is

Valentino Arnawa June 20, 2025 No Comments

How to Build an AI-Powered B2B Marketing Engine That Converts in 2025

Written by Gabriela Loupatty, Intern at LeadGeeks, Inc. Rise of AI Marketing The use of AI in used in many areas of the world as it’s becoming more streamlined this year. No surprise, that this also affect the area of sales and marketing. If you’re leading a B2B marketing team in 2025 and still relying on manual lead tracking, fragmented outreach, or guesswork in campaign planning, you’re likely missing valuable growth opportunities. These challenges are common, especially in high-tech industries where the sales cycle is long, the product is complex, and the buyer journey is rarely straightforward. The good news is that you’re not alone and you’re not without solutions. Today’s AI marketing tools are designed to solve these exact problems. Adopting AI is not about replacing your marketing team. It’s about empowering them with smarter tools, sharper targeting, and real-time insights that lead to better results. We know how overwhelming AI adoption can feel. That is why this guide breaks it into real phases so you can focus less on tools and more on outcomes. Whether you’re a CMO at a SaaS firm or a Marketing Ops lead in a STEM-based company, this guide will help you streamline your operations, increase conversion rates, and prepare your marketing system for the future. Step 1: Audit Your Current Marketing and CRM Systems Before you implement AI marketing solutions, take a clear look at where you are today. A detailed audit helps identify the gaps in your systems, workflows, and tools. This step is essential for setting a strong foundation before introducing any AI tools. Here are the key questions to explore: These questions will help you decide where AI marketing tools can deliver the biggest impact. They also ensure better coordination between your sales, marketing, and tech teams as you move forward. To make the audit actionable: No system is perfect. The most successful AI strategies often start with incomplete data and a clear goal. Step 2: Define Specific Goals That AI Can Help You Achieve Using AI marketing effectively starts with knowing your most urgent challenges. Once the audit is complete, turn your attention to measurable outcomes. Ask yourself: Once you define your goals, you can align them with the right AI-powered features. Below are a few examples: AI Capability Use Case Predictive Lead Scoring Identify leads most likely to convert based on behavior and company data Personalized Content Adjust messages across your site and emails for each visitor or segment Email Sequence Optimization Improve open and click-through rates by testing subject lines and CTAs Automated Follow-Ups Send the right messages at the right time without manual work Campaign Performance Insights Get data-backed recommendations on where to improve your outreach For example, in a project with a biotech software company, our team replaced manual lead qualification with an AI-based model trained on past closed-won deals. This system reviews more than 40 variables and now delivers a daily shortlist of leads with high conversion potential. As a result, the team cut lead scoring time by over 70 percent and focused their efforts on deals that mattered. What Will People Search? This blog answers common search queries such as: The content is aligned with the actual intent behind those searches. It provides practical, clear, and specific steps for marketers who are actively seeking to implement or improve AI marketing within their current system. Step 3: Choose AI Tools That Match Your Goals and Infrastructure Before choosing any AI marketing tool, evaluate your current tech stack. Consider your CRM, email platforms, analytics tools, and content systems. The best AI tools are the ones that integrate smoothly into your existing workflows and enhance your performance, not disrupt it. For instance, if you’re already using Salesforce or HubSpot, prioritize tools that offer native integrations. If your campaigns depend on Google Analytics or SEMrush, choose AI features that complement your current data without redundancy. Here’s a quick reference table to guide your tool selection: Objective AI Marketing Tools to Explore Lead scoring and qualification 6sense, MadKudu, Clearbit Personalized email campaigns Instantly, Lavender, Smartwriter Dynamic website experiences Mutiny, Pathmonk, RightMessage Customer journey automation Ortto, Zoho Marketing Plus, ActiveCampaign AI-powered chat and lead capture Intercom, Drift, Tidio Predictive campaign insights HubSpot AI, Salesforce Einstein, Marketo Predictive Content Select one or two tools based on your biggest gaps. Focus on how they can accelerate conversions or save your team time. Once tested and proven, expand your stack from there. Step 4: Build Workflows That Are Actually Useful Installing AI tools without building corresponding workflows is a common mistake. Your automation must be grounded in the way your buyers move through the funnel, not just in what the software can technically do. Take this example: A technical decision-maker in the manufacturing industry downloads your pricing guide. An AI system scores the lead based on behavior and attributes. If marked as high intent, the system triggers a tailored 3-part email sequence. Each message reflects the specific use case relevant to their sector. If they engage with at least two emails, the AI recommends a follow-up message and notifies sales with a brief profile of the lead’s activity. The result is a faster, more relevant lead-nurturing process, guided by AI but powered by human strategy. Here are a few other workflow use cases worth implementing: A strong AI marketing engine is not only about automation but also about removing friction for both your buyers and your team. Each automated touchpoint should deliver value while preparing leads for deeper, more human interaction. Step 5: Train Your Team and Refine Based on Data AI marketing tools are only as good as the people using them. Even the most advanced systems require human input to function effectively and ethically. To get the most from your AI-powered marketing engine, invest in training across all levels of your marketing team. Start with the basics: Make AI adoption a collaborative process, not a top-down mandate. When marketers feel ownership, they’re more likely to spot opportunities for smarter

Valentino Arnawa June 19, 2025 No Comments

Storytelling Marketing: 5 Types of Stories Every Marketer Needs

Written by Gabriela Loupatty, Intern at LeadGeeks, Inc. For a long time, we’ve leaned on logic, specifications, and product-heavy messaging to persuade buyers. However, buyers today are overwhelmed with content that feels cold and impersonal. They’re not looking for features. Instead, they’re looking for connection. This is where storytelling becomes powerful. Rather than serving as just a creative tactic, storytelling functions as a strategic tool. It helps your brand feel human, builds trust with your audience, and ensures your message sticks. So how do you bring stories into your B2B strategy in a meaningful way? Below are five types of stories that can help you stand out and create lasting impact. The Origin Story: Share Why You Exist Every business starts somewhere. Unfortunately, few take the time to reflect on the journey. When you share your origin story, which is the real reason you started and the problem you set out to solve, you will invite people to believe in your mission. For example, consider Jack Ma’s early days with Alibaba. His vision didn’t emerge from perfect conditions. Rather, it came from a belief that China’s small businesses deserved better access to global markets. That is what made his story resonate. If you’re just beginning to define your narrative, take a moment to reflect on your “why.” For more ideas on connecting this to your ICP, check out our blog on Ideal Customer Profiles. The Client Success Story: Show What’s Possible While numbers are good, stories are better. A great client success story brings your value to life. It’s not just about listing benefits. Instead, it walks the reader through a challenge, your solution, and the outcome. As an illustration, when Salesforce highlights how it helped a business improve customer relationships, they’re not selling features. Rather, they are showing transformation. Key Benefits of Client Success Stories At LeadGeeks, we’ve seen this in action. One of our clients in the software space more than doubled their demo bookings after we refocused their messaging around results. Want more examples like this? We break down successful tactics in our blog on digital strategy. The Innovation Story: Spotlight Your Progress B2B buyers want to work with companies that evolve. Your innovation story is a chance to highlight how your team solves problems, adapts, and stays ahead. It reassures clients that you’re not stuck in the past. For example, consider how TikTok’s CEO addressed a series of difficult questions with transparency and clarity. It wasn’t about the app. Instead, it was about leadership under pressure. Key Benefits of Innovation Story If you’re driving innovation in your process or product, make sure to tell people about it. Show them how your thinking is shaping the future. The Employee Empowerment Story: Highlight Your Culture People want to work with companies that care about their team. When you share how your employees are growing and making an impact, you do more than attract talent. In addition, you show clients that your people are trusted and empowered. Take Sundar Pichai’s rise at Google. His story isn’t just about credentials. More importantly, it is about how culture supports leadership. If your company values development and ownership, that’s a story worth telling. Key Benefits of Employee Empowerment Stories And if you’re thinking about how this connects with your customer story as well, we explore this alignment in another one of our ICP-focused article. The Industry Leadership Story: Offer Your Perspective You don’t need to have all the answers. Even so, offering a point of view is powerful. An industry leadership story shows that you’re paying attention to what’s happening and thinking critically about what’s next. You’re not just reacting. Rather, you’re helping shape the future. NVIDIA, for instance, shares their perspective on pricing and innovation. This elevates their voice far beyond product specifications and positions them as thought leaders. Key Benefits of Industry Leadership Stories If you’re ready to position your company in the same way, begin by reflecting on the trends you care about. What’s changing? What do people need to know? We’ve written about how to build leadership into your content in our blog on B2B digital strategy. Lets Build Connection Through Storytelling Storytelling marketing is not just about sounding good. More importantly, it’s about being remembered. In B2B, the brands that stand out are the ones that make their audience feel something. That could be trust. It could be inspiration. Or it could be clarity about what’s possible. So ask yourself: Are you giving people something to connect with, or just something to read? Interested in following us on more thoughts like this? Want to keep up with the B2B industry? Follow us on our blog where we keep up-to-date with what is currently happening in the B2B industry every single week! Click here to get started!!

Valentino Arnawa June 16, 2025 No Comments

Life Science Marketing SEO: 101 Guide

In an industry driven by data, innovation, and discovery, life science companies often focus so much on research and product development that they overlook one critical piece of their growth strategy: how people find them online. Whether you’re marketing to a lab manager looking for reliable reagents or a pharmaceutical executive scouting a new CDMO partner, visibility on search engines like Google can make the difference between getting discovered—or getting left behind. That’s where Search Engine Optimization (SEO) in life science marketing comes in. In this guide, we’ll explore how SEO works in the context of life science, and how companies can effectively attract decision-makers and researchers with intentional, scientifically accurate, and keyword-optimized content. 🧬 Why SEO Matters in Life Sciences Unlike consumer products, most life science tools, services, and technologies serve niche, informed audiences. These are people who don’t typically respond to traditional ads—they’re searching for specific, technical solutions. When they turn to Google with queries like: —your company needs to be part of those search results. The goal of SEO is to help you become discoverable at the right moment—when a potential customer is actively researching a solution that you can provide. 🔬 Understanding Your Audience: Who Are You Optimizing For? 1. Researchers and Scientists These users often look for detailed protocols, performance data, and publications. They prefer credible, peer-backed content. 🔍 They search for: 2. Lab Managers or Purchasing Agents More focused on logistics and cost. They’re interested in efficiency, supplier reliability, and bulk options. 🔍 They search for: 3. Pharma or Biotech Executives High-level decision-makers exploring partnerships, outsourcing, or investments. They value ROI, scalability, and regulatory readiness. 🔍 They search for: 🔑 SEO Best Practices for Life Science Companies Now let’s dig into actionable steps. 1. Start With Keyword Research… But Go Scientific Don’t just rely on basic terms like “biotech services” or “lab instruments.” In life science marketing, you need to go deeper into how your target audience actually phrases their problems or needs. Tools to Use: Example:Instead of “PCR kit,” optimize for: 🔬 Tip: Use terminology your audience would use in a grant application or protocol, not in a general sales call. We cover this in more detail here! 2. Optimize Scientific Content Without Losing Accuracy Life science marketing requires you to walk a tightrope: make content understandable for SEO while staying accurate and credible. How to balance it: Example:A blog post titled “Optimizing CHO Cell Transfection for High-Yield Protein Expression” should include: Search engines love depth + structure. 3. Build Topic Clusters Around Core Services or Technologies Instead of a single blog post on “CRISPR screening,” create a content cluster: This approach helps Google see you as an authority in that niche and boosts your rankings collectively. 4. Make Use of On-Page SEO Basics (Especially for Technical Pages!) Even the most brilliant application note won’t rank if it’s missing these fundamentals: Element Best Practice Title Tag Keep under 60 characters, include main keyword Meta Description Add a clear summary + call to action (under 160 characters) URL Slug Keep it clean and keyword-rich (e.g., /cho-cell-transfection) Alt Text for Images Describe diagrams and figures in plain terms Internal Links Link to related blogs, product pages, white papers 🔬 Tip: Don’t underestimate image search—people often look for figures and diagrams. 5. Publish and Promote Case Studies & White Papers Technical buyers love proof. Case studies and white papers attract both search traffic and conversions, especially when optimized for long-tail keywords. How to optimize them: Bonus: Offer a downloadable PDF in exchange for an email to start lead nurturing. 6. Improve Site Speed and Mobile Experience Researchers read on the go—especially on tablets or phones at the bench. Use Google PageSpeed Insights or GTmetrix to optimize: These factors affect Google rankings AND user retention. 7. Create an FAQ Section Based on Search Intent Gather common questions from: Add these to your FAQ or blog content, and include structured data (schema markup) so Google can feature them in snippets. 📈 Tracking What Matters: Metrics That Go Beyond Traffic Life science companies need to think beyond vanity metrics. Focus on: Use Google Analytics and Google Search Console to track keyword performance and refine your strategy. 🧪 SEO Is Long-Term, Like Research SEO in life science marketing isn’t a quick fix; it’s more like scientific research: hypothesis, experiment, optimize, repeat. But when done right, it becomes a scalable, compounding source of leads, trust, and visibility. Whether you’re selling CRISPR kits, fermentation tanks, or R&D software, SEO ensures your innovations don’t stay in the dark. Start with one core topic. Build around it. Make it findable. Then repeat! If you are on a lookout for a team that will assist you in providing and tackling high-quality leads in the life science industry for your business to business sales, why not try LeadGeeks? Our expertise and experience can guide IQLs all the way until they are ready to buy! Want to talk to us? Click below!

Valentino Arnawa June 16, 2025 No Comments

Why Life Science Marketing Is Different (and Harder) Than Traditional B2B Marketing

Life science marketing is… Complex. If you’ve ever worked in or followed the life sciences industry; whether it’s biotech, pharmaceuticals, or laboratory equipment manufacturing, you’ll know that marketing here doesn’t follow the same playbook as traditional B2B sectors like SaaS, logistics, or manufacturing. It’s more complex, more regulated, and far more technical. But why exactly is life science marketing in a league of its own? Let’s break down what makes marketing in this field so challenging—and what that means for anyone trying to communicate value in a scientific context. The Science Is Complex… And So Is the Customer Life science marketing deals with products and services that are highly specialized. From next-gen sequencing platforms to microbial fermentation reactors, the technical language required to describe these solutions isn’t something you can easily water down for a broad audience. The challenge You’re often marketing to PhD-level professionals, principal investigators, clinical researchers, or lab managers—people who live and breathe data. They can smell marketing fluff a mile away. What it means: You need to communicate with scientific credibility. That usually requires working closely with subject matter experts, building content that’s technically sound, and sometimes even publishing peer-reviewed resources or white papers to gain trust. Key Strategies for Effective Communication Long Sales Cycles (Think: Months, Not Weeks!) Unlike selling CRM software where you might close a deal in a few weeks, selling a bioreactor or a CDMO partnership can take 6 to 18 months. Why? Because decision-making in life sciences involves multiple stakeholders—scientific, technical, procurement, compliance—and a lot of due diligence. The challenge: Marketing campaigns need patience and persistence. You’re not just generating leads; you’re nurturing them over time through multiple touchpoints. What it means: You need a long-term content and engagement strategy, lets cover some strategies and how you can implement it to your life science marketing efforts. Educational Blogs and Explainer Videos Nurturing Email Sequences Webinars or Demo Sessions Purpose: Showcase the value and functionality of your offerings in real-time, providing an interactive platform for prospects to ask questions and see your products in action.Action Steps: Host regular webinar sessions that address current topics in the life sciences that relate to your products and their use cases. Prepare demos that clearly show the ease of use, efficiency, and superiority of your solutions.Tools/Resources: Leverage webinar software that allows for high-quality streaming, audience interaction, and follow-up features. Follow-Up Campaigns Strict Regulatory Considerations In life sciences, you’re not just trying to sound convincing—you’re navigating a minefield of regulations. Depending on your niche, you might be governed by the FDA, EMA, HIPAA, GxP guidelines, or local ethical boards. The challenge: Marketing claims must be accurate, substantiated, and compliant. There’s very little room for exaggeration or ambiguity, especially if your product impacts human health. What it means: If you’re working in diagnostics or therapeutics, even your marketing materials may be considered promotional under regulatory scrutiny. This means that every marketing message need to not only be persuasive but also meticulously accurate, substantiated, and adheres to the highest compliance standards. Here’s some examples on how to make that happen. Copywriting and Regulatory Review When you craft copy for life sciences, think of the regulatory review as your guiding light, not merely an administrative hurdle. Here’s how to seamlessly integrate it: Data Integrity in Marketing Data is the backbone of your claims. It’s imperative that it is collected, used, and referenced with the utmost integrity. Implementation in this area involves: Supporting Claims with Evidence When you claim, you must substantiate. In life sciences, every benefit assertion or performance claim needs to be grounded in solid evidence. To implement this: Marketing in Diagnostics and Therapeutics If your life sciences niche is in diagnostics or therapeutics, tread even more carefully: The Buying Committee Is Large (and Fragmented) In traditional B2B marketing, you’re often selling to a buyer with a budget and a need. In life science, the buying process is layered. The person using the product (e.g., a researcher) isn’t necessarily the one approving the purchase (procurement or finance). Then there’s IT, legal, QA, and even compliance involved. The challenge: You’re not convincing one person, you’re building multi-layered trust. Unlike selling to one or two decision-makers, life sciences marketing requires you to address the nuanced concerns and objectives of different stakeholders at the same time. Each group evaluates your product or service from their own perspective, often prioritizing goals that, at first glance, seem unrelated to one another. Researchers care about accuracy and innovation; procurement optimizes costs and scalability; compliance teams focus on regulation adherence; IT seeks integration. Your messaging must not only resonate with each persona individually; it must align cohesively with their broader organizational context. What it means: Your marketing must address different personas with tailored messaging: scientific data for researchers, ROI and scalability for procurement, and compliance assurance for QA. Lets look at some examples on tailored messaging depending on each role in life science. Researchers Their Role Researchers are the ultimate users of your product—whether it’s diagnostic tools, reagents, or analytical software—and their focus is on efficacy, accuracy, and robustness. They evaluate your offering on its technical merits, how it fits into their workflow, and the scientific data that supports it. Messaging Strategy Procurement Their Role Procurement teams hold the purse strings, evaluating your product based on its financial implications. Their goal is to ensure maximum value, scalability, and sustainability while minimizing upfront and long-term costs. Messaging Strategy IT Their Role IT departments evaluate whether a technology product can seamlessly integrate into existing systems and workflows while meeting data security requirements. They are often the hidden gatekeepers in the life sciences buying process. Messaging Strategy Data Is King—But So Is Human Insight Life science marketers rely heavily on data; analytical performance, throughput, reproducibility, etc.—but the ultimate goal is human health, well-being, or scientific discovery. It’s not just B2B, it’s B2H (business to human). The challenge: Balancing scientific rigor with emotional resonance. It’s not enough to list features and specs—you need to connect your offering to real-world

Valentino Arnawa May 19, 2025 No Comments

What Even Is B2B Digital Marketing? A Beginner’s Guide for Curious Students

Written by Joy Karetji, Intern at LeadGeeks, Inc. 👋 Let’s Be Real: Business Marketing Sounds Boring…. Until You See This We’re surrounded by marketing every day from TikTok ads, Instagram stories, to sponsored YouTube videos. But what if I told you there’s a whole other side to marketing that doesn’t target you or me directly? It’s called B2B marketing and it is short for Business-to-Business. That’s when one business sells something to another business. Sounds boring? Not when you realize that it’s what helps robots get into factories, cloud software power hospitals, and new engineering tools reach clean energy startups. And the best part? The whole B2B world is shifting fast with the help of AI tools, remote teams, and STEM breakthroughs changing the game. So if you’re even a little curious, let’s walk through this together—step by step, just like I wish someone had done for me. So… What Exactly Is B2B, and Why Are Businesses Talking to Each Other? Let’s say a company invents a medical device that tracks breathing for people in the ICU. They’re not selling it at a shopping mall. Instead, they’re reaching out to hospitals, health tech companies, or government clinics. That’s B2B in action where one business markets its solution to another. And when they use emails, LinkedIn, blogs, videos, or even AI-powered chatbots to do it online? That’s B2B digital marketing. In a world where everything’s going digital (thanks, pandemic and AI), B2B marketing is now mostly digital too. That means there’s a huge need for creative people like you to help companies explain why their product matters and how it solves real problems. Why Does B2B Marketing Matter—And Why Should You Care? Most people in STEM aren’t marketers. They need help explaining their complex tech to potential buyers. That’s where B2B marketing becomes the bridge. It matters because: In short, B2B marketing is about helping people make smart decisions, not pushing them to buy. And if you’re someone who likes being helpful, curious, and explaining ideas.. darling you’re already halfway there. It’s Not Just Suits and Salespeople—Who Actually Works in B2B Marketing? Forget the stereotype of cold-callers in suits. Today’s B2B teams are built around collaboration, creativity, and a little bit of data obsession. Here are the real people behind the scenes: Want a real example? LeadGeeks, a company that helps STEM brands grow, hires remote interns to research potential clients, write email copy, and even organize digital campaigns. And yes, some of them started as students just exploring this space. When Do Companies Use B2B Marketing—and Why Timing Matters More Than You Think So here’s a secret: companies don’t just “do marketing” randomly. They plan it around key moments. And in B2B, timing can make or break a deal. Let’s look at some real examples from recent headlines: 🧠 When AI hit the mainstream (hello, ChatGPT), SaaS companies like Notion or Grammarly didn’t wait around, they launched AI-powered features and rolled out new marketing campaigns explaining how their tools could help businesses write faster, work better, or save time. 🌱 When the EU introduced new carbon regulations, clean-tech companies started running campaigns to reach factories that needed emissions-tracking solutions. That’s B2B marketing reacting to real-world events. 💼 When layoffs hit big tech, some platforms like Slack and Asana began shifting their messaging to focus on productivity with “smaller teams.” That’s smart B2B repositioning. In short, B2B marketing happens during: So if you love planning and timing things just right—this is where you shine. Where Does All the B2B Marketing Happen? Hint: It’s Not Just Zoom Calls The fun part? B2B marketing doesn’t live in one place. It travels across the internet like a well-planned digital road trip. Here’s your map of where B2B messages show up: 🔗 LinkedIn — The home turf for professionals. Companies post tips, articles, and behind-the-scenes content to stay on people’s radar. (Tip: Follow brands like HubSpot or Atlassian—they’re LinkedIn naturals.) 📬 Email — Not spammy blasts, but thoughtful sequences like “here’s how we help people like you.” Tools like Mailchimp and HubSpot make it personal. 🧠 Blogs & Resource Hubs — Think of them as study guides for grown-ups. People want answers before they buy. Companies provide them through educational content. 🖥 Webinars & Virtual Demos — These became huge during the pandemic and are still strong. Imagine a biotech company showing how their product works via social media live pr online. 🌐 Company Websites — It’s the central hub. Every ad, email, or link leads back to this. A clean website with helpful info can turn a maybe into a yes. In other words, B2B marketing happens wherever businesses are learning, searching, and making decisions. How Do You Start in B2B Marketing—Even If You’ve Never Done It Before? Okay, you’ve made it this far—and you’re thinking:“This sounds cool, but how do I actually get into it?” Here’s your step-by-step starter path: 🪜 Step 1: Learn the LingoStart with free courses. Try Google Digital Garage, HubSpot Academy, or Coursera’s “Digital Marketing for Beginners.” You’ll pick up terms like “leads,” “funnels,” and “CRM” in no time. 🛠 Step 2: Pick a Skill to TryLike writing? Try blogging. Love visuals? Try Canva for content design. Into data? Try Google Analytics or SEO tools like Ubersuggest. 🎓 Step 3: Create a Sample ProjectMake a fake campaign for a real company. Example: Pretend you’re marketing ChatGPT to university research teams. What would your email, social media post, and blog title look like? 📩 Step 4: Get Experience (Yes, Even Small Counts)You can intern with small agencies, volunteer to help school clubs, or reach out to startups on LinkedIn. Many startups love working with students who are eager to learn. 🤝 Step 5: Build Your Network One Hello at a TimeFollow marketers on LinkedIn. Leave thoughtful comments. Ask questions. It’s less “networking,” more “learning out loud.” Before you know it, you’ll have real skills, connections, and maybe even your first paid project. 🎯 B2B Marketing Is Happening All Around

Valentino Arnawa February 24, 2025 No Comments

The Secret to Global B2B Life Science Marketing

In the tempestuous sea of global markets, life science brands face the Herculean task of charting a course to successful B2B life science marketing outreach. Abundant with both opportunities and obstacles, these brands must adapt and respond to a myriad of cultural, regulatory, and linguistic variables—a venture not for the faint of heart but rather for the strategically savvy. Why is Global Science Marketing so Difficult? Diversity is not just a buzzword in global marketing; it’s the linchpin of effective communication strategies. When it comes to selling your innovations globally, it is necessary to take into consideration how each region approach data and privacy. As they say: “When in Rome, do as Romans do.” Lets look into each region and how to approach each of them! Europe: GDPR and Sustainability Understanding GDPR Compliance In the European Union, the General Data Protection Regulation (GDPR) not only steers but also complicates the course of digital marketing. Instituted in May 2018, GDPR demands rigorous data protection measures and offers individuals unprecedented control over their personal data. For marketers in life sciences, where data is pivotal, navigating GDPR is like solving a complex puzzle. Compliance requires a thorough audit of data handling practices—ensuring that data collection, processing, and storage are transparent and secure. Failure to comply can result in fines as debilitating as 4% of annual global turnover, underscoring the regulation’s stringent nature. Capitalizing on Sustainability Europe has long been a crucible for sustainability, with both consumers and businesses demanding greener practices. Sustainable marketing in the life sciences sector thus requires a dual approach: first, ensuring that products and solutions minimize environmental impact, and second, communicating these efforts effectively. This necessitates crafting messages that resonate with the European ethos of environmental consciousness. Brands must incorporate sustainability into their corporate narrative, not only as a selling point but as a core feature of their identity and operations. Asia-Pacific: Brand Ambassadors and Social Media Platforms The Power of Key Opinion Leaders In APAC, traditional top-down advertising has given way to influence-driven strategies where Key Opinion Leaders (KOLs) play pivotal roles. These industry experts, or thought leaders, are trusted more than conventional advertising by a technically savvy and skeptical audience. Successful marketing strategies hinge on collaborating with KOLs who can adeptly communicate the complexities and values of life science products to potential buyers. It’s essential to identify and engage KOLs who align with the brand’s vision and have a significant following within the targeted scientific community. Navigating Popular Platforms Social media platforms such as WeChat and Line are not just digital spaces but cultural phenomena in APAC. WeChat, for instance, blends the aspects of a social network, a messaging app, and a financial tool, making it an indispensable platform for comprehensive marketing strategies. Understanding and leveraging these platforms can help tap into vast networks of potential B2B clients. The approach should be multifaceted: from direct messaging and customized mini-programs to official brand pages and KOL collaborations. The successful utilization of these platforms requires a nuanced understanding of local digital behaviors and preferences. North America: ROI-Driven Messaging and Efficiency Highlighting the Return on Investment In the high-stakes market of North America, ROI is the heartbeat of B2B marketing strategies. Companies are under constant pressure to demonstrate the economic value of their products and services. This necessitates clear, compelling communication that connects product benefits directly to financial metrics. Marketers must articulate how their products can reduce costs, enhance productivity, or increase revenue. Such messaging appeals not just to the scientific sensibilities of potential buyers but also to their fiscal prudence, resonating deeply with C-level executives. Streamlining Procurement Processes Efficiency in marketing also extends to understanding and integrating into the region’s faster procurement cycles. This rapid pace requires marketers to be agile and responsive, with strategies that align closely with the operational velocities of businesses. Automating engagement through sophisticated CRM systems, deploying timely content via automated marketing platforms, and maintaining a robust online presence are critical tactics to keep pace with the swift procurement timelines. Localizing Your Scientific Content Cultural adaptation is a ballet, a poised dance between message and medium that reflects regional aesthetics and norms. The slip-up of a U.S. brand employing the universally accepted thumbs-up—in the Middle East and North Africa (MENA), where it’s decidedly less palatable—serves as a cautionary tale of the perils of cultural faux pas. Lets have a brief look on each region’s culture and in what way you can localize your B2B life science marketing. European Union’s Regulatory Compliance The EU’s Medical Device Regulation (MDR) and In Vitro Diagnostic Regulation (IVDR) represent stringent standards that your marketing content must meet without fail. Achieving compliance is non-negotiable; it’s a reflection of your brand’s dedication to upholding the highest standards in product safety and efficacy. Each piece of promotional material must be audited scrupulously, annotated with the relevant certifications, and checked for alignment with the latest regulations. Navigating China’s Market The China State Council Order (CSCO) Guidelines dictate a rigorous regulatory framework. Penetrating this market is akin to learning an entirely new set of rules. Partnerships with local distributors, who possess an intrinsic understanding of how to maneuver through the bureaucratic maze, are invaluable. These experts act as liaisons, accelerating the approval process and adjusting your marketing efforts to conform to the national requirements, making such collaborations not just useful but essential. Understanding American Consumer Behavior In the United States, consumers value straightforward and clear communication. The emphasis should be on how your product or service can solve a problem or improve their lives. People in the United States are used to spam calls and messages, so as soon as they feel like you’re wasting their time, you lost a potential customer. Thus, your content must be crafted to highlight benefits in a way that is direct and easily digestible. Overcoming the Language Barrier While hiring locals to assist you in better understanding the region is imperative, if you want to do some initial research some tools are available for you! Tools like DeepL

Category: Sales and Marketing