Cross-Channel Marketing Approaches

Every consumer brand today understands that to grow and scale profitably, they have to be omnichannel. Simply because their consumers are. Whether it is commerce or content consumption, consumers are doing it across channels seamlessly. Research offline, buy online, and vice versa is extremely common For example- 70% of consumer durables/electronics research begins online, but 70% sales are still offline. The keyword searches for many categories on Amazon/Google is only a small % of actual sales happening online. Same for youtube views on product review videos And now, with the advent of Quick-com, there are categories like beauty, general merchandise where research/discovery is happening on Nykaa/Amazon/Google/offline and purchase on Q-com For brands which have both D2C websites and EBOs, the best/highest converting footfall in the EBOs are actually people who have visited and researched the products on the website But despite understanding all of these, most consumer brands fail miserably when it comes to being truly omni-channel. So, if you are looking to scale across channels successfully, here are some must-dos across 4 heads a) Organization Structure & KPIs : Traditional structures simply won’t work if you are trying to build omnichannel. Most often we see different sales heads for different channel. We also see independent teams for e-commerce/modern trade resulting in internal competition for same consumer and often conflicting promotions And as a result channel conflict emerges from different margins across channels, Separate targets and KPIs and separate marketing budgets by channel Even for many new age brands who have a good D2C business and have newly opened EBOs, there are no synergies. The team that drives D2C has absolutely no incentive to drive relevant consumers to EBOs. In fact I will not be surprised if D2C teams in these companies will hide/remove the store locator to improve site conversions as that is what they are incentivized for The first way to solve it is to structurally remove silos and align incentives. Incentives drive behaviour. Have common joint goals and KPIs. At Atomberg, the growth team which drives e-commerce demand is also responsible for generating searches on Google and Youtube as this has highest correlation with offline demand. They are also responsible for generating leads that can be forwarded to the local teams. They are also responsible for driving footfalls to our marquee MBOs using the store locator. And all of these at a city level and a state level. So, in addition to channel wise targets at a national level, there are region wise targets for all channels combined which is of equal importance for the growth team The link to the complete post is in the first comment. It covers technology, product portfolio and pricing/promotions must dos for an omnichannel brand Do read

139,000 videos sent. One Vidyard award. Zero competitors even close. And I still don't understand why more teams aren't using video. It is truly the most under utilized tool in sales (not just propsecting) My teams at PatientPop sent more one-to-one videos than anyone I know. Not generic marketing videos. Not AI. Personal, one-to-one prospecting and post sale/mid sales cycle videos. 139,000 in 18 months. Vidyard literally gave us an award for it. And here's what kills me: Most sales teams send maybe 10 videos a month. Total. It. f'n works. Execs get 10 cold emails a day. 10 cold calls a day. They get 2-3 videos a month. MAYBE (execs chime in here, how many do you get?) You do the math on where you can stand out. But it's not just about being different. Video lets you control everything: - The tone (enthusiastic, not desperate) - The pace (fast, not rushed) - The humanity (real person, not automation) You become human in 30 seconds. It also lets you show, not just tell. Email: You tell them you noticed something. Video: You show their actual website while explaining what you noticed. Email: You tell them you're excited. Video: They see your energy, your research, your preparation. Email: You tell them about your product. Video: You show them exactly what matters to them. See the difference, ya'll? Here is the exact framework that we used for videos. **K** - Know: "Here's what I know about you..." **P** - Problem: "Here's the problem you're probably facing..." **I** - Impact: "Here's what that problem is costing you..." **C** - Connect: "Here's why I'm reaching out..." **C** - Call to action: "Here's what I'd like you to do..." Under 60 seconds if you've never talked. 90 max. Up to 3 minutes if you've spoken before. A lot of people also overthink video in a big way. We had one key rule. End it and send it. Stumbled? Send it. Dog barked? Send it. Said "um" three times? Send it. No redos. No perfection. No overthinking. The stumble makes you human. The dog makes you real. Perfect videos feel like marketing. Imperfect videos feel like people. One last key tip here. The email/msg has to sell the click. Nobody cares that you sent them a video. They care about what's in it for them. Your subject line, your email, your link text - everything should scream value, not "watch my video." Tell them WHY to watch. What they'll learn. What problem you'll solve. The video isn't the value. What's IN the video is the value. Here's my challenge to you. Pick 5 prospects tomorrow. Send them each a personal video: 1. Show their website/LinkedIn while you talk 2. Use KPICC structure (60 seconds max) 3. End it and send it (no redos) 4. Email sells the click, not the video 5. Follow up with confidence: "Did you see what I put together?" Then call each of them 2-3x the next week & watch your connect rates triple. Because while everyone else is sending bland email templates, you're showing up as a human. And humans buy from humans.

🚨 Bad B2B Marketing Agency: Our client offers cybersecurity solutions. Let's create ads explaining their service and run them across every platform. The more people we reach, the better the chances of making sales. 👍🏽 Good B2B Marketing Agency: Our client offers cybersecurity solutions, but generic messaging won't cut through the noise. Instead, let's segment their audience and tailor messages to specific industries: - Manufacturing: Emphasise supply chain optimisation. - Healthcare: Highlight data security and compliance. - Finance: Focus on real-time analytics and reporting. By tailoring the messaging to each sector, the campaign should be effective. 🚀 Great B2B Marketing Agency: No one cares about cyber security, we need to make them care. So we’re going to wrap up our ICP’s key problems and desires into stories. Example: Key problem: They have valuable data and are afraid of being hacked. Key desire: To feel secure and worry-free with their IT. Story: "3 years ago, Amazon lost $121 million in 31 seconds due to a hack. In just 31 minutes a hacker: - Found a hole in their IT. - Manipulated it. - Stole $121M. The irony is, that would have never happened if they had just done the same simple security check we do for our clients every day…. etc etc” But a great story alone is worthless… So, we’ll amplify it by sharing the story across key employee brands. These receive 20x more views than company pages (on average). Over the next 6 weeks, we’ll share different stories that highlight key problems our ICP is dealing with. This will do 3 things: - Keep the problems top of mind. - Associate our client with those problems. - Position our clients as the go-to solution for them. Then we’ll launch a “Bridge resource” focused on helping them solve the issues we’ve been highlighting. We’ll give it an outcome-focused title like: “7 Simple Ways To Avoid IT Hacks in 2024” Our warm leads will come out of the woodwork and showcase interest when they download it. We’ll run the people who sign up through an email sequence which pushes them to book sales calls & demos. Our clients will have prospects queuing up to work with them. 💡 We’ve run this same process for over 150 clients now in various industries, it works every time. At the end of the day, marketing is about communicating to your ICP that you solve a key problem they have. This story system does just that. P.S. Follow me to learn how to use stories to get your company noticed Niall Ratcliffe 📚

Follow these steps to master B2B video marketing: ☑ Set clear goals for your video marketing efforts: 1. Raise brand awareness 2. Generate leads 3. Drive conversions ☑ Define your target audience. Understand: 1. Pain points 2. Content preferences 3. Decision-making processes ☑ Develop a comprehensive video marketing strategy: 1. Types of videos 2. Distribution channels 3. Marketing funnel integration ☑ Choose the right types of videos: 1. Product demonstrations 2. Customer testimonials 3. Explainer videos 4. Thought leadership content 5. Webinars 6. Case studies ☑ Align your video content with the appropriate channels and funnel stages: 1. Different types of videos for different stages 2. Platform-specific strategies ☑ Create a budget for video production: 1. In-house production vs. vendor collaboration 2. Resource allocation ☑ Optimize your videos for search engines: 1. SEO best practices 2. Descriptive metadata ☑ Incorporate calls-to-action (CTAs) in your videos: 1. Guide viewers to the next step 2. Encourage downloads, trials, or demos ☑ Distribute your videos across multiple channels: 1. LinkedIn 2. YouTube 3. TikTok 4. Your website 5. Email marketing ☑ Measure and analyse your video performance: 1. Key performance indicators (KPIs) 2. Views, engagement rates, conversion rates, watch time ☑ Personalise your video content: 1. Customised videos for high-value prospects 2. Account-based marketing (ABM) strategy ☑ Focus on educating and providing value: 1. Informative content for decision-making 2. Address pain points and demonstrate expertise ☑ Ensure your videos are mobile-friendly: 1. Optimise for various devices 2. Increase mobile engagement Save and apply this guide today, repost if you find it useful.

One of the principal challenges in expanding a marketing mix to a new channel is parsing apart the differences not just in channel performance but in the user-level behaviors for that channel. A marketing team can't expect users from a new channel to engage in the same patterns, with the same cadence, as users from existing channels. So onboarding a new channel requires not just an accommodation of that new traffic into the measurement model but also an understanding of how the underlying monetization prediction model needs to adapt to that channel's users. This makes intuitive sense, but it's often overlooked. Even across direct response channels, the media formats could be different, or the platforms could feature fundamentally different demographics. Compare TikTok to Snapchat to Pinterest to Instagram. Can all of these consumers be expected to behave the same when they reach your product after clicking on an ad? This kind of model adaptation is a difficult task absent deterministic identifers. But the challenge is most pronounced when expanding a media portfolio from exclusively direct response to include things like CTV or podcasting. This measurement adjustment is a deliberate process that needs to be planned and carefully orchestrated -- a marketing team can't just wing it.

Most B2B marketers make the same mistake: They treat Google, LinkedIn, and Meta as separate campaigns instead of a connected system. Here’s the thing → one channel alone can’t carry your whole demand engine. Google gives you intent. LinkedIn gives you qualification. Meta gives you scale. When you connect them, you don’t just generate leads — you build a profitable, self-reinforcing flywheel. Step 1: Capture demand with Google Ads Google is still the undisputed king of intent. Someone searching “enterprise CRM for SaaS” is already in-market. That’s gold. But here’s the reality: Only 2–5% of visitors convert on the first touch. High-intent clicks cost $8–$12+. Most of that traffic bounces and disappears. If you’re just measuring Google by “conversions today,” you’ll either cap out quickly or burn budget. The smarter move? Pay for that in-market traffic, then pipe it into a system that qualifies and retargets. Step 2: Qualify and nurture with LinkedIn This is where most companies fall short. Drop the LinkedIn Insight Tag on your site and suddenly you can segment Google visitors by industry, company size, and seniority. Now you’re not treating every click equally — you’re focusing spend on the ones that match your ICP. And instead of spamming brand ads, run Thought Leader Ads. These are organic-style posts from your CEO or SME, sponsored into the feeds of your best-fit prospects. It builds trust, positions your team as experts, and warms the accounts you actually care about. Bonus: LinkedIn Company Hub shows you exactly which accounts are leaning in. Served 30+ impressions? 3+ ad clicks? That’s your intent list. Step 3: Enrich and scale with Meta At this stage, you’ve captured intent and qualified fit. Now it’s time to scale. Export your engaged LinkedIn accounts, enrich them with decision-maker contact data, and upload that list into Meta. Why? CPMs are 3–4x cheaper than LinkedIn. Enriched data improves match rates. Facebook + Instagram give you unmatched reach. Now you’re retargeting with testimonial videos, case study carousels, or founder explainers — not to cold strangers, but to warm, qualified accounts. The result? Lower CPC overall Warmer leads Higher conversion rates Cleaner attribution More efficient ad spend That’s the power of building a B2B Ad Trifecta instead of siloed channels. If I were starting from zero today, this is exactly where I’d begin: ✅ Capture demand with Google ✅ Qualify and nurture with LinkedIn ✅ Enrich and scale with Meta Control what you can control: your system. Not the algorithm. Worth testing if your funnel is stuck on one channel.

Sales and marketing alignment isn’t a workshop topic—it’s a revenue system. A methodology that often requires culture change to stick. As teams plan for 2026, the gap between strategy and operational effectiveness across and between these two functions still blocks predictable pipeline in focused, complex markets. In other words, "jazz hands" at SKO often fails to translate into what needs to happen on Tuesday. Alignment means nothing without consistent, successful execution. As I see it across the countless client and community conversations we've had this year, four pressure points are creating most of the barriers to true alignment and impact: 1️⃣ Attribution If sales and marketing don’t share a single influence model, both sides optimize locally and the complex motions you need regress to random tactics that fail to achieve your goals. Pick a model, publish the rules, and hold everyone to it. Use it to inform planning—not just to settle debates after the fact. 2️⃣ Goal alignment Pipeline math must connect cleanly: ICP coverage → stage-weighted opportunities → win rate → revenue. If these ladders don’t reconcile across teams, you’ll miss targets even with strong activity. 3️⃣ Incentive alignment Comp drives behavior. When qualified lead and opportunity goals conflict with sales quotas you get sandbagging, over-qualification or turf wars. Consider tying marketing variable comp to sourced and influenced pipeline that closes, and tie sales to opportunity quality and velocity. Or, if you're brave, eliminate sourced/influenced metrics altogether and align incentives on metrics you can actually buy a beer with. 4️⃣ Board/investor expectations Assumptions, when left unchecked, often harden into mandates. If you don't show your board an operational plan for getting sales and marketing to work together, they'll think they have to define it for you. And you definitely won't like that. Translate board-level growth narratives into an operating model both teams can run: agreed ICP, motion mix (inbound, outbound, partner, PLG), capacity plans, and an SLA for handoffs and follow-ups. As you build towards true, sustainable sales and marketing alignment in 2026, here's a checklist of priorities to get in place sooner than later. 💡 One shared attribution model with monthly governance 💡 A joint, integrated pipeline playbook: coverage, conversion, velocity and capacity by segment 💡 Unified incentives with a common “closed-won” denominator 💡 A "Revenue Council" cadence: sales, marketing, finance, ops—meeting regularly with a single dashboard 💡 A proactive alignment board narrative with milestones and dashboards for regular updates We're all tired of talking about sales and marketing alignment. But for many organizations it has become THE blocker to predictable, efficient and sustainable pipeline and revenue achievement.

Campaigns are not one-size-fits-all. Especially when you're talking to customers across different regions. Combining marketing teams into a single unit that looks after multiple geographies bring efficiency. But it also introduces complexity—because what works in New York won’t always land in New Delhi. So, how do you really connect with customers across such diverse markets? You test. Run localized market experiments to uncover: What benefits resonate most in Texas versus Toronto. How value propositions shift between Sydney and Singapore. What creative actually feels culturally relevant (not just translated). Here’s how you get it right: - Test benefits, messaging, and cultural fit on live platforms like Meta or LinkedIn using Heatseeker. - Use behavior-driven insights—CTR, CPA, engagement metrics—to guide decisions. - Stealth test where needed to mitigate risk and gather unbiased feedback. - Optimize campaigns iteratively to scale what works, fast. The result is campaigns that speak the language-beyond just words. Data-backed insights into what drives customers in that specific local. A scalable playbook for delivering localized campaigns that convert. Your streamlined team now has the tools to drive success.

Predict, Personalize & Perform : From Leads to Loyalty Let’s be honest—customer lifecycle marketing (CLM) in B2B used to be a fancy word for “email nurture” and “CRM segmentation. But today, with AI, machine learning, and predictive data models, CLM is becoming something much more powerful: ➡️ A living, learning ecosystem that adapts to each buyer journey in real time. Here’s how we’re seeing AI and ML revolutionize CLM in B2B: 🔍 1. Predictive Journey Mapping Machine learning algorithms are helping identify where an account or contact actually is in the funnel—not just where your CRM says they are. ✅ No more generic MQL > SQL flows ✅ Dynamic scoring based on behavior, content engagement, and intent signals ✅ Real-time stage shifts based on predictive fit and readiness — 📈 2. Hyper-Personalized Nurturing (at Scale) AI models now create content clusters matched to personas, industries, and even buying committee behavior. 🎯 Email sequences, LinkedIn ads, and landing pages are personalized based on: Buyer role Past touchpoints Predicted product interest ICP match + firmographic data It’s not just segmentation—it’s micro-personalization powered by behavioral AI. — 🔁 3. Intelligent Retargeting & Re-Engagement Using ML-powered intent data and anomaly detection, you can now: Spot churn risks before they happen Trigger re-engagement sequences based on drop-off patterns Retarget accounts that show subtle buying signals across web, search, and social Retention is no longer reactive. It's predictive. — 📊 4. Revenue Forecasting + Attribution Modeling Thanks to data science, we can model: Which touchpoints actually move pipeline Which leads are likely to convert within a time window How to attribute revenue across full-funnel programs—not just the last touch This gives marketing the credibility and confidence we’ve needed for years. — 💡 The CLM Stack of a Modern B2B Org Should Include: ✔️ Customer Data Platform (CDP) ✔️ AI-powered segmentation + scoring ✔️ Predictive content engines (LLMs + RAG) ✔️ Lifecycle orchestration tools (e.g. Ortto, HubSpot, Marketo w/ ML layers) ✔️ Analytics + BI layer for optimization 🧠 Final Thought: In 2025, CLM isn’t just “marketing automation” with better templates. It’s about building an AI-powered engine that understands, anticipates, and activates each step of the buyer journey. You don’t need more content. You need smarter orchestration. 💬 Curious to hear from other B2B leaders: How are you bringing AI into your lifecycle marketing stack?

Last year, I worked with a SaaS team where Sales blamed Marketing for “bad leads,” and Marketing blamed Sales for “not closing enough.” Sound familiar? Fast forward 6 months: They closed 4 enterprise deals worth $2M ARR. The change? They didn’t “work harder”—they worked together. If you’re running ABM and your Sales and Marketing teams are siloed, you’re leaving $$$ on the table. Here’s why: 💡 ABM isn’t a “marketing strategy.” It’s a team sport. Want Sales and Marketing to stop clashing and start cashing in? Here are 4 battle-tested moves for killer collaboration: 1️⃣ Build ONE Playbook. Share insights into target accounts. Map engagement history (no “who emailed them first” drama). Align on pipeline progress in real time. 2️⃣ Sync on Tech. Use the same CRM and automation tools. Real-time data = no excuses. Example: When an account downloads a whitepaper, Marketing preps the nurture sequence while Sales plans the next call. 3️⃣ Tailor Content Like Pros, Not Amateurs. Marketing: Create hyper-relevant content for specific accounts. Sales: Feed Marketing intel on what prospects are actually asking. Together: Deliver messaging that solves real problems, not just “thought leadership.” 4️⃣ Meet, Measure, Repeat. Weekly strategy sessions = no surprises. Shared KPIs (engagement, pipeline velocity, deal size) = accountability. Celebrate the wins together (or fight over who gets the credit later). 😉 Here’s the punchline: When Sales and Marketing stay misaligned, ABM becomes “Account Blaming Marketing.” But when they sync up, magic happens: 🔹 Better engagement. 🔹 Shorter sales cycles. 🔹 Higher ROI. The question is: Will your teams collaborate or compete in 2025? Let’s hear it—what’s your #1 tip for aligning Sales and Marketing for ABM? Or what’s your biggest challenge? 👇 #ABM #Sales #Marketing #Collab #B2B #SAAS