Tailored Advertising Campaigns

"Sid, we’re pouring money into ads, but it feels like we’re just burning cash. The needle isn’t moving, and I don’t know what else to do." That’s what the founder of a D2C brand told me six months ago. The frustration was real, and we knew a big shift was needed. Here’s how Per4mance Guru turned things around and generated ₹2.5 CR in just 3 months: 1. Hyper-Segmented Audience Targeting   We analyzed customer data and broke the audience into micro-segments. For instance, we identified a segment of eco-conscious buyers and tailored our campaigns to showcase the brand's sustainable practices, resulting in a 30% boost in engagement. 2. Lookalike Audience Scaling We used advanced Lookalike Audiences, built from high-value customers, and layered it with detailed interest targeting. This method allowed us to expand reach while maintaining precision, improving conversion rates by 28%. 3. ROAS-Driven Bid Strategy   Instead of blindly increasing ad spend, we monitored real-time ROAS data and made adjustments. We scaled campaigns only when the ROAS hit optimal levels, which minimized wasteful spending and boosted overall returns by 40%. 4. Full Funnel Integration   We created a cohesive strategy from top-of-funnel awareness campaigns to bottom-of-funnel conversions. For example, customers who interacted with awareness ads saw highly personalized product offers during the retargeting phase, increasing conversion by 35%. 5. Personalized Retargeting  Using first-party data, we crafted personalized retargeting ads based on previous interactions. For instance, cart abandoners were sent specific reminders, along with a limited-time discount offer, leading to a 20% recovery in lost sales. The result? ₹2.5 CR in 3 months, with a 50% increase in overall engagement and customer loyalty. #PerformanceMarketing #D2CSuccess #AdvancedMarketingStrategies #Personalization #ROASOptimization #MarketingCaseStudy #CustomerEngagement

Your ad strategy should match your goals, period. It’s not just about picking Sponsored Products or Sponsored Brands. It’s about choosing the right campaign type within those ad formats, based on the specific goal you’re chasing. Trying to rank a new ASIN? ➢ You might lead with auto campaigns and broad match discovery to find high-volume search terms fast. Looking to maximize profitability? ➢ Now it’s about refining to exact match campaigns with proven keywords that consistently convert. Want to retarget warm audiences? ➢ Sponsored Display views remarketing campaigns will help pull those shoppers back in, on and off Amazon. Need to build brand awareness? ➢ Headline-style Sponsored Brands campaigns with a link to your Storefront can showcase your full lineup and increase brand searches over time. The point is, every campaign type has a job. And that job only works when it’s aligned with a specific outcome: ‣ Use auto campaigns to discover ‣ Use exact match to harvest ‣ Use Sponsored Brands to build trust ‣ Use Sponsored Display to recover lost clicks Most wasted ad spend happens when strategies and goals are out of sync. Start with the outcome you want, then build the campaigns to support it.

Big wins often happen from lots of small moves. Here's a real example from a client of Storybook Marketing, where we are managing the paid demand gen program. In this program, leads are moved through an orchestrated demand gen journey, through paid media and email marketing, ultimately being retargeted towards a demo request conversion at the end. As we took ownership of the program, one key area of opportunity stuck out in the way people were being asked for demos at the end of that journey. Most notably, they were all being delivered a general demo request message, and the results were low as a result. The small, but meaningful, change we quickly implemented was building out a campaign for each audience using language and imagery that was tailored to them. It took a couple of iterations to find what resonated best, but the key learnings were these: 1. The headline mattered so much No matter how 'warm' you think a lead is, the attention your ad will get in the feed is still minimal. You can't expect them to do work to see themselves in the ad copy. So by making it clear that were were speaking to them directly, it dramatically improved the ad performance. 2. Build visuals that they like, not what you like Too often, marketers build campaigns that appeal to marketers, but there are plenty of audiences who negatively respond to this. We saw exactly this within the program. One audience responded well to traditionally designed ads because of the persona, but the other was anything but responsive. By researching how other successful orgs target this persona in their ads, we rebuilt the ad imagery entirely, and the results quickly followed. This campaign all happened inside of 3 months, in a mature program, which is often where you don't expect to see such dramatic results. But dramatic they were - an overall drop in the cost/MQL of 52% and a 5x increase in the form conversion rate. And if there's just one key takeaway, it's this: Take the time periodically to make sure you're not leaving opportunity on the table because you served up too general a message or offering. Of course, it can be challenging to go this deep, and an agency like ours has a luxury of time that in-house marketers rarely do. And there is a limit to how personalized you can reasonably get, but those generalized moments that try to speak to everyone often speak to no one at all. And it can be leaving very wins on the table.

Meta’s algorithm will find your audience. 🔍 But it won’t make them stop, care, and convert. That’s all on your ad creative. We worked with a DTC food brand selling a mushroom growing kit that was struggling to scale. At first, we leaned into the obvious creative angles: ↳ Freshness and quality ↳ Health benefits ↳ UGC and social proof None of them moved the needle. But after digging into customer reviews and Reddit threads, we noticed a pattern: 💡 Audiences associated the brand with gourmet cooking experiences. 💡 Couples loved using the kits together as a fun activity. It wasn’t just about mushrooms or their benefits—it was about the experience of cooking together. So we tested a new creative that was visually targeted at couples. It was an instant hit. 🎯 The key wasn’t just analysis—it was condensing those insights into a better creative. Most performance tools today give you a wall of data on your media spend. But the next big unlock isn’t just in efficient budget allocation—it’s in your creative strategy. Here’s how you can find winning creative angles: ✅ Track the right KPIs Don’t just measure your conversions, track the full creative funnel. ↳ Primary KPIs: Purchases, leads, cost per result ↳ Secondary KPIs: Hook rate, hold rate, frequency, CTR ✅ Mine non-obvious data sources Reddit threads, app store reviews, customer surveys—the best insights live where competitors aren’t looking. There’s a goldmine of data in forums and marketplaces, so turn customer reviews and insights into ad angles and map them directly to USPs and personas. ✅ Create ads for personas—not demographics Generic ads don’t convert. Tailor every element, from typography, imagery, tone, and call-to-action to match the specific motivations and emotional triggers of each customer persona. People don’t respond to ads that speak to everyone — they engage with ads that feel made just for them. ✅ Scale your winners fast Once a winning creative consistently beats your baseline CPA, move it into an ASC structure to let Meta’s algorithm maximize delivery. Use Campaign Budget Optimization (CBO) when testing to let Meta auto-allocate budget to the best-performing ad sets. A high win rate signals a repeatable formula — consolidate winners into a single ASC ad set and scale fast. In fact, AI tools are making this process infinitely easier. At MadMen AI, our agents crunch data from marketplaces, customer reviews, forums, and social channels to identify and rank winning ideas for your brand. We’re automating creative strategy at scale for different personas, so that our customers can generate ad variations based on real-world signals. Curious how it works? Drop a comment or DM — let’s talk! 💬

Heads of sales, service providers who run ads with the aim of more sales.. I've ran ads and helped audited more than 350+ ads in the past 2.5 years for service providers and high ticket sales.. here's what most businesses who run ads do not know 👇 Your Ad ROI Lives or Dies at the CTA Why does this matter? Paid media is expensive real estate. The single line (or button) that tells a prospect what to do next is often the difference between pipeline and polite interest (data backs it up). I've managed to help clients doubled their sales in 1 month just by switching up their CTA even datas backed this : # 1, 90 % of visitors who read your ad’s headline will also read the CTA. Skip the generic “Learn More,” and you squander almost all the attention you just paid for. (Source: constant-content.com) # 2, One unmistakable CTA can lift clicks by 371 %. Too many options create friction; one clear ask channels intent. (Source: saleslion.io) # 3, Context- or persona-based CTAs convert up to 202 % better than one-size-fits-all buttons. (Source: hotjar.com) 1️⃣ Match the CTA to the Buying Moment Push “Buy Now” to a cold audience and you’ll pay premium CPCs for zero sales qualified leads. Fit the ask to their current intent, not your quarter-end quota. 2️⃣ Personalise Around Your ICP Inject buyer-specific language (“See logistics pricing for Klang Valley SMEs”) or dynamic fields (industry, use-case) into the CTA. Platform tests show tailored CTAs are three times likelier to get the click. 3️⃣ A/B Test Like It’s a Creative Element Optimise for revenue, not CTR. A flashy verb can spike clicks and tank lead quality. Follow each variant all the way to closed-won. Feed winners into your marketing automation. Sync the high-converting CTA/offer pair with tailored nurture emails or WhatsApp flows. 𝐃𝐨𝐧'𝐭 𝐣𝐮𝐬𝐭 𝐬𝐭𝐨𝐩 𝐚𝐭 𝐨𝐩𝐭-𝐢𝐧. Also, be as specific as possible - ICP, benefits.. 4️⃣ Track the Metrics That Pay Salaries - not just what looks good (I had have clients who have what looks good but we had to switch to help them get real actual sales - not just likes and "good consistent branding" Click-through rate (CTR) 👉 Early warning signal of relevance/creative fit Lead-to-SQL rate 👉 Shows whether the CTA is attracting qualified prospects Pipeline $ / Lead👉 Tells Finance (or the boss who's paying) the ad is worth funding Closed-won revenue 👉 The only metric that ultimately justifies spend Remember: CTAs Aren’t Always “Buy Now” 𝐐𝐮𝐢𝐜𝐤 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲 Before launching your next campaign, ask: Does the CTA speak my ICP’s language? Does it align with their stage of awareness? Will the landing experience fulfil the exact promise? What's my nurturing sequence? If the answer isn’t a confident “yes,” tweak it because that tiny line of copy is where your ad budget either compounds or disappears. if you need help, reach out to me (although my services aren't for every type of business, I'm more than happy to recommend).

Amazon dropped one of the biggest Sponsored Products updates we’ve seen in a long time (and personally was waiting for): ->audience targeting inside SP and the ability to create custom ones with AMC. Most advertisers are going to butcher this. They’ll pile audience bid boosts on top of existing ranking structures, placement modifiers, legacy bids — and then wonder why their campaigns nosedive. That’s how you torch your signals and bleed efficiency. Here’s the approach — the same structure we’re running across multiple brands: 1. Build your audiences inside AMC. This is the only place you’ll get truly clean data. Do not be lazy and use the ones you have available by default, they are mid to upper funnel audiences (which might work if that is what you wanna go after). But now you have access to AMC, so no excuse not to customize the audience based on your target. How to: Go to your ad console -> measurement and reports ->AMC → Use Cases → Audiences → pick the behaviour (ATC, PDP views, click-no-purchase, etc.) → create to Audience Hub. 2. Do not slap audience modifiers onto existing campaigns. If a campaign has a purpose — ranking, defence, etc — stacking audiences on top of it just corrupts the whole bidding logic. And if you’re already using placement modifiers, mixing them with audience modifiers is a guaranteed mess. 3. Create a separate SP campaign built only for the audience. Low base bid - start with half of the lowest suggested. Attach the AMC audience. Modifier applies only to that audience (at least 100% and increase this as needed). This isolates the traffic, preserves signal quality, and gives you a clean testing lane. The outcome across every brand using this structure has been identical: higher conversion rate, lower CPC, better margin. Same budget — just higher-quality traffic. The rule is straightforward: pick the audience that aligns with your objective. Don’t target everything. Fix the biggest gap in your funnel first. I’ve mapped out every audience, organized them by funnel stage, and included recommended starting points. Comment ME and share this post, and I’ll send you the file. #amazonad #amazonadvertising

Remember when Facebook ads were a surefire win? Those days are gone. It used to be easy money; but now, it's a data-driven war. Blindly A/B testing visuals and headlines is a recipe for wasted budgets and mediocre results. Here's the brutal truth: most DTC brands are drowning in data and starving for insights.  They're bombarded with metrics, click-through rates, and conversion rates but lack the strategic framework to translate that data into actionable growth. The winning formula is NOT endlessly A/B testing in a desperate search for the magic ad.  It's about understanding your customer journey on a deeper level and segmenting your audience with laser-precision – not just demographics but psychographics, behavioral patterns, and the nuanced stages of their buying journey. Your messaging, visuals, and even the offer need to be tailored to resonate with each audience segment's specific needs and desires. Stop the performance ad guessing game: Understand your audience's motivations, pain points, and media consumption habits. Identify the different stages (awareness, consideration, decision) and tailor your messaging accordingly. Don't waste your budget on generic ads – speak directly to the specific needs of each customer group. Use insights to develop messaging and visuals that resonate with your target audience. Track performance, analyze data, and refine your campaigns for continuous improvement. When you adopt a strategic approach and focus on deep audience understanding, you'll build targeted campaigns that convert clicks into customers and fuel explosive growth for your DTC brand. The performance ad apocalypse doesn't have to be your reality. 

Two common #b2bmarketing but especially #paidmedia mistakes? 😅 When I was working agency-side, clients/prospects most often answered the question "who's your target persona?" with some variation of the C-Suite. They'd stretch to VPs or Heads of Department, and that was often it. The instinct is natural. When you asked them "who's your ideal target company?" the reply was pretty much enterprise, regardless of their maturity as a business. They wanted the largest ACV. Now of course it's important to reach and influence senior executives. And it was entirely appropriate for many of my large clients to be marketing to enterprises. But the average SMB/MM advertiser? Probably not. These audiences are the most competitive which means the most expensive. You can pay $20-30+ per click for the C-Suite using #LinkedInAds because the audience pool is so small, and everyone is vying for their attention. The problem is compounded because they probably don't log in much, given their busy schedules. (Many of the impressions served are quite possibly seen by EAs, or social media managers, running their profiles.) With enterprise, you actually have the opposite problem - vast audience sizes. You'll see the same large orgs dominating your Campaign Demographics reports - common offenders are Salesforce, Microsoft and Apple. Impressions and Clicks eaten up by these players (typically unlikely to translate into pipeline) could have been spread across dozens of smaller prospects where your chances of generating business are greater. How do you solve for these advertising challenges?👇 1️⃣ Expand your persona targeting to reach the wider buying committee (this means different seniorities and job functions) 2️⃣ Segment your targeting by company size to ensure you're getting the desired reach outside of enterprise organisations Something we do at Cognism is break out seniority targeting in our campaigns into "ICP" and "IC" (individual contributors). This allows us to tailor budgets, bids, content and messaging to each level of the buying committee. From speaking to our Sales teams on the ground, we find more junior leads can sometimes be the best entry point into new accounts. Once you have a foot in the door, you can run account-targeted campaigns to help "multi-thread" deals and build awareness from senior stakeholders later. Similarly, we have campaigns for different company size thresholds (<200, 200-1k, 1-5k, 5-10k and 10k+ employees). If you have a limited budget - be choiceful. You don't need all of these, or to target every country or industry where you could do business. Strategy is focusing on where you win. Identify your sweet spot (company size/industry/market) and place your chips there. That could be mid-level managers in 200-1k size orgs. Your ad budget will stretch further, with greater impact. *** Thanks for reading! If you like B2B marketing or paid media content, drop me a follow or connection request 👋 ~ Lee

If you’re running Meta campaigns across multiple markets or locations, personalization and automation are key. Localized ads, dynamic creatives, and streamlined workflows don’t just save time: they drive better performance Launching campaigns across 240 gym locations while keeping costs down is no easy task. The Gym Group wanted to move beyond generic ads and create campaigns that felt personal and relevant to local audiences. Here’s how they made it work: 1️⃣ Local ads work better: Instead of running the same ad everywhere, they used dynamic local inventory ads to promote nearby gyms. Adjusting the targeting radius based on gym density (smaller in cities, broader in rural areas) made the ads feel more relevant. 2️⃣ Automate the repetitive design: They streamlined creative production by integrating their design tool (Figma) with Hunch. This cut down the time spent converting designs into ads, freeing up their team to focus on strategy. 3️⃣ Agile promotions: With frequent offers like “50% Off Memberships” and “No Joining Fee,” they used scheduling tools to switch between ad templates quickly and accurately. No more manual updates every week. 4️⃣ Personalization at scale: By integrating dynamic maps and localized data, they tailored ads to specific regions without creating new assets for every location. The Results? ✅ 25% lower CPA on Meta campaigns. ✅ 6,663 additional sign-ups in 2024. ✅Team saved hours of work by automating workflows. If you’re still running generic ads or struggling to scale personalization, it’s time to rethink your approach. Link to case study: https://lnkd.in/dn7695Pu