Generating Leads Online

I started my privacy journey 12 years ago with a simple observation. There was a massive disconnect between digital marketing and privacy compliance. Today? That gap is bigger than ever. Here's a scenario I see constantly: Marketing agency adds new tracking pixels. Company says "great, more data!" Few ask: Who approved this? What data is it collecting? How long will it stay? Who's responsible for compliance? Sound familiar? The reality in 2025 is stark: - Cookie banners aren't enough anymore - Global Privacy Control signals are becoming mandatory - Dark patterns are enforcement targets - Cookie audits need to be regular, not annual - Opt-out mechanisms need to work (yes, actually work) - It's not just about cookies anymore: it's pixels, tags, and more! But here's the bigger issue that nobody's talking about: The governance gap between companies and their marketing agencies. Think about it: → Agencies place pixels, but who's reviewing them? → Companies trust their agencies, but where are the contracts? → Everyone wants data, but who's responsible for compliance? → Pixels get added easily, but is there a removal process? I founded Red Clover Advisors because I saw this exact problem - the missing link between digital marketing and data privacy. The clovers in our name literally represent this bridge. Seven years later, it's still one of the biggest blind spots I see. Marketing agencies: This is your wake-up call! Privacy compliance isn't just your client's problem anymore. You need: → Clear contracts defining responsibilities → Documented pixel approval processes → Regular compliance checks → Removal procedures → Understanding of each state's requirements Companies: 🛑 Stop assuming your agencies have this covered! You need: → Governance frameworks for pixel management → Agency oversight procedures → Regular cookie audits → Working opt-out mechanisms → Clear accountability structures Want to see exactly what you need to do? Download our 2025 Privacy Checklist (link in comment) 👇

I analyzed 12 months of ABM campaigns that actually worked. Here's the data: Most Account-Based Marketing fails before it starts. After analyzing 12 months of successful ABM campaigns (and plenty of failures), I've identified the patterns that consistently drive pipeline. Here's what the data shows: 1. Timing matters just as much as content Accounts that received 3+ touches within 48 hours of showing buying intent converted 4x better than those that received the same content a week later. 2. The magic number is 6.2 (for this brand at least) The average closed-won deal had 6.2 stakeholders involved. Yet most ABM campaigns only target 1-2 personas per account. Expand your reach. 3. The "champion experience" is everything The accounts where we delivered a memorable experience to a single champion (personalized video, custom research, direct exec outreach) had 3x higher conversion rates. 4. Sales and marketing misalignment kills ABM Our most successful campaigns had sales activity within 24 hours of marketing touches. When this alignment slipped to 72+ hours, conversion rates dropped by 48%. 5. Personalization at scale actually works But not how most people do it. We tested 4 levels of personalization: - Generic (18% engagement) - Industry-specific (27% engagement) - Company-specific (42% engagement) - Individual + company-specific (63% engagement) 6. Direct mail isn't dead But swag is worthless (or at least it didn’t work for this audience 🤷♀️). Our highest ROI direct mail: Personalized research reports addressing the account's specific challenges. $250 spend → $45K in pipeline (average). 7. The "Double-Down Effect" When an account engages with ANY marketing touch, immediately increasing the frequency and personalization level produces a 3.5x lift in conversion rates. The companies getting ABM right understand it's not a campaign—it's a complete go-to-market strategy. P.S. I'm working on a new episodic ABM show in collaboration with Clay, so stay tuned 🤗

An ecommerce company recently approached my team to do an email audit as they were facing challenges with low open and click-through rates. After analyzing their email account, here are our main recommendations to revive their email marketing channel: 1. Strategic Email Segmentation: Currently, your emails lack personal relevance due to a one-size-fits-all approach. This is a crucial area to address. Action Plan: Implement segmentation based on purchase history, engagement levels, browsing behavior, and demographic information. 2. Personalized Content Creation: Generic content won't cut it. Your audience needs to feel that each email is crafted for them. Action Plan: Develop emails specifically tailored to the different segments. This includes curated product recommendations, personalized offers, and content that aligns with their interests. 3. Subject Line A/B Testing: Your current subject lines aren't doing their job. You need to be implementing ongoing A/B subject line tests, as this is low-hanging fruit to improve your open rates. Action Plan: Regularly test different subject line styles and formats to identify what resonates best with each segment. Keep track of the metrics to inform future campaigns. 4. Mobile Optimization: A significant portion of your audience reads emails on mobile devices. Neglecting this is causing a decrease in your email engagement rates. Action Plan: Ensure all emails are responsive and visually appealing on various screen sizes. Test your emails on multiple devices before sending them out. Additional Campaign Strategies We Recommend: - Launch a Monthly Newsletter: This should include new arrivals, style guides, and user-generated content. It’s an excellent way to keep your brand in the minds of your customers. - Seasonal Campaign Integration: Tailor your campaigns to align with holidays and seasons. This approach can significantly boost engagement and sales during key periods. - Re-Engagement Campaigns: Specifically target subscribers who haven't interacted with your brand recently. Offer them unique incentives to rekindle their interest. Next steps: 1. If you found this helpful, please leave a comment and let me know. 2. If you own/run/work at an Ecommerce company doing at least $1 million in annual revenue, message me so my team can audit your email channel to see if there's a good fit for working together.

This post is not going to be popular but it needs to be said. #Marketing teams need to understand that they are not entitled to *any* #data in most circumstances in the #EU as a matter of #law. This is not new, the law has existed since 2003, but until the last couple of years it was not heavily enforced. Those days are over, #enforcement of #privacy laws in the EU (and elsewhere) has increased significantly over the past 4 years and continues to at an accelerated pace. Why? Precisely because marketing teams have been unable to control themselves and behave lawfully for so long. This creates an issue - because #KPIs are no longer relevant as they were based on unlawful #processes which are now facing enforcement - so instead of looking for data to satisfy unlawful KPIs perhaps it is time to change those KPIs to make them #relevant and lawful... Because to be frank, if you work in marketing in the #web or #mobile #apps sectors, your #metrics are going to be shit. Yes you can cry about it as much as you like but they are going to be shit, they are going to remain shit and they are probably going to become even shittier as new laws/regulations are passed (and they *will* be passed, so stop lying to yourself and saying everything is going to be fine - it isn't.) No amount of crying to your #DPO or #compliance leads is going to change that - the law/supporting case law is quite clear and no privacy team worth their salt is going to #risk #liability by signing off on unlawful processing. You need to move to a #privacybydesign approach because the more you try to circumvent the rules, the more difficult it will get & the less likely people are to give their consent. As an example - if you decide to turn on #sessionrecording in your #analytics platform - your privacy team then need to provide specific details about not just the #benefits of session recording but also the #consequences and #risks in order to meet their #transparency #obligations to make consent lawful and valid. What do you think the impact of that is? I will tell you - you are going to find that even less people opt-in to analytics than they did before because you are pushing too far. So instead of having more data to compensate for the lack of consent - you will have less data because less people will consent. We all know that less than 20% of people generally provide consent - if you want to see that number half & then half again, keep pushing more intrusive #technologies into your consent flow - you are destroying your own metrics & KPIs. YOU (marketers) need to completely change, create new KPIs based on a lawful approach, stop pushing for more data & learn to accept, we don't want to be #monitored - period. Until you do, you are going to continue to face frustration, uncertainty & an ever diminishing pot of data as a result. You did this to yourself - don't continue to self harm - find a new (lawful) way instead.

How we generate warm leads every week on LinkedIn: (A simple approach for all B2B companies) Most people think LinkedIn is about going viral. It’s not. All of the real value comes from 𝗳𝗶𝗻𝗱𝗶𝗻𝗴 𝗽𝗲𝗼𝗽𝗹𝗲 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗲𝗱 𝗶𝗻 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂 𝘀𝗲𝗹𝗹. That’s how we built a simple repeatable system that gets warm leads in the inbox every single week - without heavily pitching or ruining brand reputation. Here’s how it works: —— 1. Share content (AKA your fishing bait) You have to post about what you do, who you do it for, and why you do it. You’re not trying to go viral here, just making it very clear what people can buy from you. People won’t always like or comment. But they’ll start noticing. —— 2. Find intent Once content is out, it’s on you to hunt people down. You start by dropping “Resources” under your posts in the comments. Things like: - A quiz - A playbook - A whitepaper These shouldn’t heavily pitch your service, but actually give real value. (You should feel slightly sick giving these away) If someone fills it in (and they’re in our ICP) go back to LinkedIn and message them. —— 3. Find interest Then head to Sales Navigator and filter for 3 things: A) ‘Viewed your profile recently’ B) Job title C) Company size If someone fits the ICP and viewed your profile, reach out with a little conversational message. —— The outcome? - 7–8 warm conversations a week - 92% reply rate - A steady pipeline of opportunities It’s not magic or anything genius, it’s just a process you can start today that will consistently drive new leads. I’m honestly shocked that more people don’t already do this daily. —— Follow me for more B2B marketing Niall Ratcliffe

Hey Financial Advisors, is your lead generation tool creating an experience based upon what people actually want? Here are the top three things an advisor should look for in a lead generation tool today: 1. Hyper-Personalization and Digital Accessibility Why it matters: Consumers expect financial services to feel as intuitive and personal as their Netflix feed. They want advice tailored to life stages, goals, behaviors, and even values – not a one-size-fits-all approach. What to look for in a tool: 🔸 The ability to segment leads dynamically (by life stage, income, values, digital behaviors). 🔸AI-driven personalization (e.g., content suggestions or call-to-actions based on lead profiles). 🔸Mobile-first design and omnichannel integration to meet users wherever they are – app, desktop, or even voice. 52% of advisors say investors want more personalization; 76% of U.S. consumers now expect it as the default 2. Holistic Financial Wellness Integration Why it matters: People aren’t just looking for stock picks. They want comprehensive financial guidance & engagement – budgeting, debt, insurance, retirement, values-based investing, and more. What to look for in a tool: 🔸Capability to qualify leads beyond AUM – including goals, financial literacy, debt levels, life milestones. 🔸Integration with budgeting tools, debt calculators, retirement readiness assessments, etc. 🔸Messaging flexibility to talk about wellness and life goals, not just portfolios. A holistic approach to financial advice can save the average household ~$4,384/year. 3. Trust Signals, Transparent Pricing, and Regulatory Alignment Why it matters: Trust is the cornerstone of lead conversion, and today’s consumer is savvy, skeptical, and scrolling. They'll Google you, check your reviews, and side-eye any hidden fees. What to look for in a tool: 🔸Built-in disclosures and customizable pricing transparency (subscription, flat-fee, hybrid). 🔸Ability to display your personality, interests, credentials, reviews, and social proof. 🔸Compliance-ready frameworks that align with evolving regulations (especially if leveraging AI or social media). 67% of Europeans don’t trust investment advice from traditional sources, and 51% of Americans don’t trust AI-generated advice unless verified by a human. All data from The New State of Advice and The Future of Financial Advice reports. Bonus Tip: Make sure your leadgen tool isn't creepy. The last thing a potential client wants is a cold call, email, DM, etc. from an advisor who somehow knows their income, how much the bought their house for, and that they just changed jobs. If your leadgen tool has not incorporated these things into it how it works then buyer beware. Questions I would ask about your leadgen tool: 🔸Does it rely on creepy data scraping or organic consumer fed data? 🔸Does it drive warm inbound leads, or make you cold call and compete? 🔸Does it enhance the human connection or "match" upon ZIP code and 401k balance?

Want to know how networking got me leads worth ₹3,00,000? Here’s the thing: Networking is not about collecting connections like Pokémon cards. It’s about the follow-up. At TechSparks, I didn’t just shake hands and walk away. I followed up strategically, and here’s what made all the difference: 1. Personalized follow-up: A generic “nice to meet you” email? Nope. Each follow-up was tailored, referencing our conversation, shared interests, or how we could potentially collaborate. That made it personal and valuable for them, not just me. 2. Timing is key: Don’t wait for days or weeks. I reached out within 24 hours of meeting them. It showed I was serious about keeping the conversation going—and that I valued their time. 3. Be clear on the value you offer: I didn’t just follow up for the sake of it. I made it clear why continuing the conversation would benefit them, whether it was insights I could share or ways we could collaborate. 4. Stay consistent: One follow-up is great, but I didn’t stop there. I stayed in touch, continued the conversation, and nurtured those relationships over time. The result? 7 quality calls and leads worth ₹3,00,000—all because I didn’t let those connections go cold. Here’s the truth: Not every contact you make is going to convert into cash overnight. But the ones you nurture with genuine intent will strengthen your network and, eventually, your opportunities. Every email, every DM, every touchpoint is an investment in your future success. Pro tip: Follow up like you’re building a relationship, not closing a sale. That’s how you create value for both sides. 💡 If you want to know how I consistently turn networking into real business growth, let’s connect and talk about how I can help you do the same.

The business case for building a strategic LinkedIn network We often hear people say, “I get nothing from LinkedIn,” or “My network never brings me business.” The problem isn’t LinkedIn, it’s your network strategy For most professionals, their LinkedIn connections are in the wrong place Your network might be made up of ex-colleagues, recruiters, and people who aren’t actually in a position to buy from you That’s not going to generate meaningful opportunities The key is to take a focused, not random approach Step 1 – Target the Right People Search for your ICP (Ideal Customer Profile) on LinkedIn These are the exact types of people and organisations that could benefit from your product or service And target the people that can “influence” your solution in an account Not everybody you connect to needs to be buying For example, you might connect to the deputy Director of Finance as they will refer you to meet the Director of Finance Step 2 – Connect Consistently Send 100 targeted connection requests a week. On average, 60% - 80% will accept (Play your cards right and LinkedIn will allow you to send 200 connection requests a week) Over the course of a year, this approach will grow your network by roughly 5,000 highly relevant contacts Step 3 – Focus on In-Market Opportunities Not everyone will be ready to buy immediately, but if 5% of your network is in-market at any given time, you’ve positioned yourself to be visible to 250 potential buyers without cold outreach (See details of the results from cold outreach below) Step 4 – Be the Obvious Choice If you’ve: Built a credible, client-focused profile Connected in a genuine, non-spammy way Shared insightful, relevant content …then those in-market prospects will see you as the natural choice And when they’re ready to buy, they will come to you Conclusion LinkedIn isn’t broken, it’s a goldmine for business growth when used strategically By focusing on your ICP, growing your network with intent, and positioning yourself with valuable content, you load the deck in your favour Over time, this turns LinkedIn into an inbound lead engine, where opportunities find you instead of the other way around PS: Figures for cold outreach with our social selling methodology are as follows LinkedIn allows you to send 200 connection requests a month you should be getting a 60 - 80% acceptance rate Of those 10% will agree to a meeting You should get 34% agreement to a next action Each SDR should get at least 1 x ICP meeting a day (5 a week) from this #Sales #Marketing #Leadership #SocialSelling #PublicSpeaker

The 2025 Account-based Marketing Playbook I'm rebuilding the ABM motion for a unicorn SaaS. Here's exactly how: 1️⃣ Total Addressable Market Map You should have data on every company in your ICP. In this case: ↳ Their Salesforce CRM had 2500 accounts ↳ Sourced from ZoomInfo + Cognism ↳ We did a CRM download. ↳ Added industry matches scraped from the internet using DiscoLike. Meaning we had WAY more accounts. But not all were qualified. 2️⃣ Develop ICP model Few companies study their ICP like a science: ↳ Analyze closed won for signal trends. ↳ Study highest-spend customers. ↳ Find commonalities among closed-lost. ↳ Backtest model against closed won. Now, you have a model to score your TAM map. 3️⃣ Account research + company scoring The point of ABM is that you focus on the right accounts: ↳ Automate account research using Clay. ↳ Deploy research agents to scrape info from websites. ↳ Add enrichments from data providers. ↳ Feed data into AI scoring prompt. ↳ Categorize accounts into Tier 1, Tier 2, Tier 3, and unqualified. Send data on qualified accounts back to the CRM. 4️⃣ Find relevant contacts at company Multithreading is key when it comes to ABM: ↳ Use Clay, Apollo.io, or Icypeas to find people by title. ↳ Key decision makers are Tier 1. ↳ Management end-users are Tier 2. ↳ Operational end-users and Tier 3. ↳ AI scoring prompt to categorize. Big deals require buy-in from all three tiers. 5️⃣ Track first- and third-party signals This is to prioritize accounts when timing is right. 1st party signals: ↳ Outreach replies. ↳ Data straight from your CRM. ↳ Ad insights w/ Fibbler, Vector 👻, or Influ2. ↳ Product usage w/ Amplitude, Mixpanel, or Heap. ↳ Website visits w/ Warmly, RB2B, or MeetVisitors. ↳ LinkedIn signals w/ Common Room, Teamfluence™, or Trigify.io. This makes up your engagement score: ↳ Aware (0-40), Interested (41-70), Evaluating (71-100) 2nd party signals: ↳ Review sites like G2, Capterra, or ColdIQ. ↳ Champions w/ LoneScale, UserGems 💎, or Champify. ↳ Tech integrations w/ Crossbeam, PartnerStack, or Reveal. 3rd party signals: ↳ Job openings w/ Clay, PredictLeads, or PDL. ↳ Funding w/ Crunchbase, PitchBook, or Owler. ↳ Company initiatives w/ Clay, Serper, or 10-K reports. ↳ People changes w/ Clay, LoneScale, or UserGems 💎. ↳ Tech stack w/ BuiltWith, HG Insights, or Wappalyzer. ↳ Social signals w/ PhantomBuster, Trigify, or Common Room. These make up your intent score: ↳ Low (0-40), Medium (41-70), and High (71-100) 6️⃣ Composite score and CRM enrich In Clay, this data is composited into one priority score. And sent back to the CRM. 7️⃣ Segment actions based on scores Strategy for Tier 1 acquisition: ↳ 1:1 outreach ↳ Focused ad spend ↳ Event invites + warm intros ↳ Personalized videos + landing pages For Tier 2 and 3s, you can automate: ↳ Email outreach w/ Instantly.ai ↳ Linkedin outreach w/ HeyReach ↳ Multichannel sequences w/ lemlist Comment if you'd like the full res graphic 👇

80% of leads never convert to customers. Not because you're generating the wrong leads. Because you're using the wrong tools at the wrong stage. The 5 pillars of a modern lead gen stack we use: 1) Contact data + prospecting intelligence Your foundation. Bad data breaks everything. ZoomInfo: enterprise database + buying signals Cognism: strong EMEA coverage, GDPR-first Apollo: best value for speed + sequencing 2) Inbound capture + conversion Most websites convert 2–4% by default. HubSpot: forms, automation, analytics, CRM Leadfeeder (Dealfront): identifies visiting companies pre-form OptinMonster: exit-intent capture for lift Drift: real-time qualification via chat 3) Sales engagement + automation Where targeting becomes meetings. Instantly / Smartlead: scalable cold email execution Salesloft / Outreach: structured cadences for 10+ rep teams 4) Intent data + ABM This is pipeline acceleration. 6sense: in-market detection + prioritisation Demandbase: ABM orchestration for strategic accounts Bombora: intent infrastructure layer 5) Enrichment + verification The connective tissue that keeps the stack usable. Clay: waterfall enrichment across sources Clearbit: real-time attributes + form shortening Hunter: email finding + verification Selection rules (simple, practical): 1. Early-stage: Apollo or HubSpot. Validate ICP and messaging first. 2. Mid-market: keep CRM, add specialised data + intent. 3. Enterprise: ABM platforms to coordinate buying groups. Before you add another platform, ask: 1. Is this solving a capability gap or masking a strategy problem 2. Will the team actually adopt it 3. Does it integrate cleanly end-to-end The best stack is the one your team uses consistently, with clean data flow from prospecting to closed revenue.