Retargeting Campaign Optimization

Should you retarget by intent? We ran the test... Most B2B retargeting looks something like this: Someone visits your site, any page at all…and immediately: they’re getting hit with “Book a demo” or “Start your free trial” ads. No nuance. No context. Just one-size-fits-all messaging chasing every visitor around the internet. It’s simple. It’s easy. But also pretty broken. Here’s why: > Not everyone on your site is in the same headspace. > Blog readers aren’t ready to talk to sales. > Product page visitors are curious but not convinced. And people on the demo page? They’re this close but something’s holding them back. Treating all three the same? That’s how you burn ad dollars without actually building pipeline. So we ran a test. One of our clients had a basic retargeting setup. One campaign. One CTA. One generic message. We broke it apart and rebuilt it based on intent. ___________________________ Here’s how we segmented it: Blog readers Top-of-funnel folks in research mode. → We showed them value-first content: guides, checklists, downloads. Product & feature page visitors Mid-funnel visitors sniffing around the solution. → We served ROI calculators, interactive tools, and “how do you stack up” style CTAs. Pricing/demo page visitors Bottom-of-funnel leads with real buying signals. → They saw direct “Book a demo” and “Start your trial” ads with tons of social proof. ___________________________ Here’s what happened over 60 days: Old campaign (one-size-fits-all): > Low click-through rates (~0.4%) > Modest form fill volume > Demo-to-close rates hovering around 17% New segmented retargeting: > 3.1x higher CTR > 2.4x more total form fills > 29% increase in demo-to-close conversion from high-intent segments ___________________________ Better message-match. Cleaner funnel transitions. Better results.

You saw the ad. You ignored it. You saw it again. Still ignored. Now you see it 6 more times. Welcome to modern D2C retargeting. Most D2C brands retarget like everyone’s always interested. Spoiler: they’re not. We audited 14 Indian D2C brands in April. Different categories. Different spend levels. ↳ But one common problem across the board: → Retargeting was quietly eating up 25–30% of ad budgets… and delivering almost no real lift in conversions. ↳ Here’s what we saw again and again: → Brands targeting the same audience across multiple campaigns. → 30-day visitors are still being hammered with BOFU ads on day 27. → High-frequency users keep seeing offers they’ve already ignored. → Everyone gets the same retargeting creative, no matter their intent level. And the worst part? Meta charges a premium to show ads to warm audiences or even if they’re cold in behavior. ↳ Why this hits harder in India: → COD mindset means More hesitation, slower decision → Lower trust in new D2C brands → Most retargeting is not segmented by behavior or timing You're not nurturing. You’re nagging. ↳ What I suggest brands to do instead: → Cap frequency and refresh retargeting ads weekly. → Use behavioral segments, not just "all visitors". → Retarget with timing logic, not desperation. ↳ My Fix for Smarter Retargeting Strategy 1. Segment your retargeting audiences → 1–3 days: Hot. Hit with offer. → 4–7 days: Educational reminder → 8–14 days: Testimonials, COD trust → 15–30 days: Low-cost nudges, not hard sells 2. Set frequency caps for warm pools → Don’t let the same person see your ad 6–10 times. → It hurts trust and inflates CPC. 3. Use intent-based retargeting triggers → Add to cart ≠ View content ≠ 10 sec video view → Each needs a different message and urgency 4. Rotate your creatives weekly → Fresh visuals and new hooks equals higher re-engagement without annoying the user 5. Track spend split between cold vs warm → If warm is eating 40%+ of budget with low conversions then pull back and fix segmentation. → Swap "Buy Now" with reminder, education, or social proof style creatives. Recap: ✅ Over-retargeting is a silent budget leak in Indian D2C ✅ Meta doesn’t care how relevant your retargeting is, you need to fix it ✅ Smart segmentation and message match means better ROI and trust ✅ Most CAC spikes come from lazy retargeting, not bad ads ✅ Treat retargeting like a nurture funnel, not a sales wall It’s not that your retargeting isn’t working rather it’s working too hard on the wrong people. Sometimes scaling starts by cutting what’s quietly bleeding your best budget. Spending ₹10L–₹50L/month and not sure if your retargeting is actually working? Let’s chat. A 30-min chat could save you lakhs in silent leaks.

We used programmatic advertising to turn $5.8K ad spend into $19.5K in revenue with a 3.36x ROAS for an 8-fig DTC brand WITHOUT website traffic retargeting. Here’s how: THE CHALLENGE: CTV ads are great for awareness but tough to track. Unlike Meta or Google, CTV doesn’t have a traditional attribution path. It's an incredible tool for generating awareness and intent, but tough to generate direct performance from without the right strategy. This is where most brands miss the mark - they stop at top-of-funnel awareness and never close the loop. THE SOLUTION: Instead of treating CTV as a standalone play, we used it to fill the top of the funnel… ...then retargeting those engaged viewers through programmatic ads across the open web. STEP 1️⃣: Ran CTV ads to build awareness and get initial audience engagement. STEP 2️⃣: Retargeted those viewers in the middle of the funnel using display & native ads, as well as retargeting through CTV again. STEP 3️⃣: Removed all bottom of funnel retargeting as to get a clear view of CTV performance without cannibalizing other ad channels' traffic. THE IMMEDIATE RESULTS: 👉$5.8K ad spend → $19.5K revenue 👉>90 purchase conversions 👉3.36x Holistic ROAS across all campaigns over a 7 day period Why This Works: 👉 CTV builds brand awareness, but without retargeting, it’s incomplete because it's hard to actually purchase through this channel - ie., it's impossible to 'click' on your TV. 👉 Retargeting those engaged users across the open web moves them further down the funnel, and allows us to be exposed to the CTV traffic in a format that can be engaged with and tracked & attributed. 👉 Retargeting CTV engaged users through CTV again increases brand awareness and recall, thereby increasing purchase intent through the same channel of original exposure. The takeaway? CTV isn’t just a top-of-funnel play. When combined with programmatic retargeting, it’s a conversion machine. You reach massive new audiences that don't exist on other platforms, and convert them across the entire web, not just social platforms. Programmatic is here to expand your marketing funnel, as well as your revenue.

Retargeting doesn’t fall short because the ads miss the mark. It falls short because the timing does. There was a point when a 7-day retargeting window felt efficient. Launch, build the audience, follow up later. It looked structured and reliable. But when response patterns were examined more closely, the drop wasn’t happening after a week. It was happening within hours. By the next day, most prospects had already moved on, consumed something new, or lost context entirely. The issue wasn’t relevance. It was delay. That’s the shift. Attention hasn’t disappeared. It has compressed. Context changes faster than most systems are built to respond. And a delayed follow-up now feels like a missed moment, not a reminder. The teams seeing results aren’t just improving retargeting. They’re tightening response loops. Acting within hours, not days. Building sequences around real-time behavior. Measuring recency, not just reach. This week’s newsletter breaks down why traditional retargeting windows are losing impact and what a faster, more responsive model actually looks like. If current campaigns are still built on delayed follow-ups, it might be time to rethink the timing.

Remarketing is often the misunderstood middle child of performance marketing. Let’s break a couple of myths🔨 🎯 One size fits all fits probably no one:  I’ve seen many companies burn money on campaigns that don’t recognize that every section of their audience has their own motivations. Why, if I had a penny for every time I visited a site with no intent to purchase their product at all, only to spot a “Schedule a Demo Today” ad by them on whichever site I visit, I’d probably be the richest guy in SaaS! I read somewhere that 84% of users either ignore or are put off by retargeting ads! Shows how important it is to get it right. Start doing these things: - Segment visitors by page depth (1 page vs 3+ pages) - Track time-on-site thresholds (>2 min = higher intent) - Create separate campaigns for pricing page visitors vs. blog readers Tailor your content based on your audience’s behavior and stage in the buyer journey (URL path visitors, action completers, cart abandoners) 🎯 Retargeting works like a mosquito coil:  Retargeting is not plug and play, and it typically doesn’t stop with one level. Retarget for all customer stages. Not only demo and trial signups. This insulates your prospects from leaving the funnel midway. We’ve had cases where we spent thousands of dollars on a retargeting campaign only to make zero sales. But here’s what happened afterward ⭐ : When we triggered another retargeting campaign for the warmer folks from the previous campaign, giving them BOFU content, we made sales. A lot of it! What’s to learn here? You’re unlikely to be bet on with just the first touch point. You have to build that awareness consistently. Create a 3-tier remarketing structure: > Tier 1 (Cold): Educational content, industry reports > Tier 2 (Warm): Case studies, comparison guides > Tier 3 (Hot): Free trials, demos, limited-time offers Build custom audiences for each segment, assign specific content types to each, and implement frequency caps based on ‘bucket temperature’. Also, the focus should also be on increasing the credibility of your company rather than only pushing them towards the CTA. Here's one customized Google + LinkedIn campaign strategy we used for a client recently. What are some retargeting tactics that’s worked for you?

SaaS company spending $30,000+ on LInkedIn Ads getting $400+ per lead This was 3-4x higher than before. They could not understand why spending more money brought worse results. I looked into their ad account and found three clear problems. 1. Very small target group, very high repetition (frequency) They aimed their “cold” ads at a tiny list of companies. Because the budget was large, the same people saw the same ads over and over...and over...and over.. After a while, those people stopped noticing the ads, so results dropped off a cliff after seeing initial pop of results that gave everyone hope. What we changed: Added nearby groups of similar companies and looked for ways to meaningfully increase audience size without compromising quality. Created new ad versions so viewers did not see the identical message every time. 2. Retargeting settings mixed good and bad visitors Retargeting is meant to show ads only to people who have already visited your site and match your ideal customer. An “AND vs. OR” filter error let thousands of unrelated visitors into the retargeting group, wasting 80 percent of that budget and essentially turning this into a cold campaign will little chance or ROI. What we changed: Fixed the filters so only the right visitors stayed. After the fix, the same budget brought three to 3x more sign-ups. 3. One-track messaging All ads asked for a sale immediately, whether someone was new to the brand or had visited many times. People who did not yet trust the company were not ready to book a call. What we changed: Added trust-building ads: news mentions, customer stories, short interviews with the founder. As trust grew, more visitors moved to the “ready to talk” group, and cost per sign-up fell. 👇 Advice summary a 5th grader could understand. 👇 1. If your group is tiny, big budgets just annoy people. 2. Retargeting needs clean filters. One wrong setting can drain most of the money. 3. Give people information in steps. First, introduce yourself; then build trust; then ask for a meeting. Managing LinkedIn ads is a special skill. A general-purpose ad agency may miss these details. If you already run LinkedIn ads and want a free check-up, reply “Audit” or send me a note. My team will look at your account and point out quick fixes—no pressure, just clear advice. #linkedinAds

Last year, I ran my first LinkedIn ad. Since then, I’ve spent $463k and got a 4.68x ROI. Here are 8 unique lessons that made all the difference: 1. Custom account lists only (2,000 - 10,000 is best) One of the biggest mistakes I made in the beginning was relying on native targeting. You can’t rely on categories like “software development” to target "software companies". I always build and upload custom lists. The sweet spot I’ve found is 2,000 - 10,000 accounts. Bigger lists are just a waste of budget; you never cover them fully and get many repeat impressions. 2. Stand out by segmenting more than others You want that “aha” moment when people see your ads. That comes from segmentation. I try to split lists by job title, location, or even tech stack. Most people don’t want to put in that work, so if you do, you stand out. I usually have 15-50 campaigns in each campaign group. 3. Increasing retargeting audience = cheaper ads LinkedIn is okay ($$$) for top-of-funnel, but it’s really powerful ($) for retargeting. Retargeting ads drive conversions, if your retargeting audience is big enough. I retarget everyone: website visitors, company page visitors, ad viewers, ad clickers. The bigger the retargeting audience is, the better the results I'm getting. It's hard but worth it. 4. I stole most of my highest ROI ads (sorry!) Some of my best ads are just versions of other campaigns I saw. I'm creative enough to make my own versions. If you see something great, adapt it for yourself. I use Linkedin Ads Library and look for cool campaigns I like - then I break down funnels in FigJam (I have 50+). 5. Testing rarely works, I never AB test anymore You won’t A/B test your way into millions in pipeline. Linkedin’s volume and cost structure don’t support it. It might give you 10–20% improvement at best, but it’s not worth dedicating time unless you have a $100k/mo budget. I almost never test anymore. It's better to try something else than test color on your ads. 6. Ad formats (single image > thought leader > convo > video) My experience is that single image ads convert better for pipeline. Thought leadership ads are okay, lead gen is tough to make work, and video is basically a joke. Video costs a lot to produce, and it doesn’t outperform image ads (30% lower CTR). I stick with image ads for most and use thought leadership ads for retargeting. 7. Budgeting makes sure you have enough firepower I’ve blown budgets halfway through the month and also underspent. Both are wasted opportunities. Now, I plan how I'm spending my ad budget: 25% for retargeting, 25% for mid-layer, and 50% for top of funnel. This gives me enough to make a dent, get meetings, and recycle audiences for retargeting (key!). Ran out of room...

 I decided to pause our website retargeting ads on LinkedIn today and re-channel this 4-figure budget into one specific *cold* ABM campaign. Why? Retargeting high intent website visitors sounds like a great idea, doesn’t it? After digging into which companies we were actually retargeting based on the page group visits (with ZenABM), I noticed that *a lot* of the accounts we ended up spending $$$$ on were a *very* bad fit. That’s the thing with inbound - your resource may be “designed” for high intent audience, but you have literally zero control over who lands on it from search. And then - if you use LinkedIn pixel - even if you restrict the retargeting to specific company sizes/ industry verticals - you’d still end up targeting a lot of bad fit accounts. Meanwhile - one of our cold LinkedIn ABM campaigns is generating $16 in pipeline per every $1 spent. But have I given up on retargeting? No. But there’s a smarter way to do it that I’m planning to implement: 1)) Choose high-intent, BOFU pages on your website, grouped by JTBD/intent (e.g. user onboarding) 2)) Very important: Retarget them with a TEXT ad with cost-per-click bidding - you will pretty much pay nothing as hardly anyone clicks on Text ads 3)) Based on the impressions of those text ads, ZenABM will deanonymize the companies LinkedIn Pixel detected on your high intent pages. 4)) Select the option to “update or create” the company in your CRM and push those companies back to your Hubspot 5)) Push the company list into Clay and run account scoring to exclude bad-fit accounts. Push the cleaned list back into Hubspot. 6)) Push this cleaned audience into a proper, intent-based Linkedin campaign from Hubspot. Ta-daam. You’ve just saved your company thousands of dollars on retargeting to Microsoft or Meta. 

I just audited an ad account spending $161K a month, and found a massive, common flaw: overspending. In this $161K account, the spend breakdown showed: - $34,000 on Engaged Audiences - $14,000 on Existing Customers At first glance, this might look fine but take a look at these ridiculous frequencies. - Engaged Customers: Average Frequency of 25x - Existing Customers: Average Frequency of 57x That is an unacceptable amount of wasted budget. It means you’re simply buying more impressions, blasting the same person with the same ad dozens of times instead of efficiently driving new conversions or acquiring new customers. The Misconception of Scaling: The core issue is that when you double your budget, you want most of that extra spend to go to New Audiences (prospecting). You assume Facebook will increase the spend proportionally. What actually happens: Facebook tries to "squeeze" more out of your existing and engaged audiences, causing their frequency (and your costs) to skyrocket. If you double your budget, your existing and engaged spend can easily double, too even though the size of that audience didn't. The Fix The key to significantly less wasted spend is creating clear "swim lanes" in your ad account, do not get this confused with TOF, MOF, BOF. 1. Prospecting Campaign (New Audiences) 2. Retargeting Campaign (Engaged Audiences) 3. Retention Campaign (Existing Customers) The only way to force Facebook to follow your lead is to put hard exclusions on each of these pockets. BTW - This post took a long time to write. If it helps you, tell a friend or drop a comment. Feed the algo, help me out ❤️ The Exclusion Setup (Step-by-Step): This is not a "suggestion" to Facebook; you must ensure these custom audiences are set as proper exclusions and not just suggestions. 1. Prospecting Campaign:EXCLUDE all users who have recently engaged or purchased. My recommended setup excludes: - Add to Cart + Initiate Checkout 90 Days - All Website Visitors 90 Days - Purchase 180 Days 2. Retargeting Campaign:EXCLUDE anyone who has already completed a purchase: Purchase 180 Days (Exclude any recent purchaser lists) 3. Retention Campaign:No exclusions needed, as the campaign is only targeting your past purchasers. The Unfair Advantage: This structure eliminates audience overlap, drops your ridiculous frequencies, and gives you control over your spend. If you want to spend more on Prospecting, you just put the cash into that campaign's budget, you never have to worry about accidentally over-impressing your existing customers. You can take the 10-30% of wasted budget and confidently reallocate it to new customer acquisition. Don’t listen to the next person telling you that the “1 campaign method” is going to save your ad account. It’s going to waste another 20-30% of your spend targeting the wrong people, yet again.

How to use Reddit ads to understand your audience's behavior. Most advertisers use Reddit Ads to reach predefined communities, but the real value is in discovering where your audience actually spends time. Here’s how we do it: Run a broad retargeting campaign. Instead of limiting targeting to a narrow set of subreddits, we retarget all Reddit visitors who engaged with our ads. This creates a dataset of users already familiar with our brand. Pull subreddit-level data using Looker and Supermetrics. Reddit’s native reporting is limited, but by extracting performance data through the API, we can see exactly which subreddits are appearing in our retargeting audience. Identify unexpected audience hubs. We often find that prospects spend time in niche communities outside of the obvious industry subreddits. A cybersecurity audience might be engaging with r/homelab or r/sysadmin instead of just r/cybersecurity. Adjust targeting based on insights. If certain subreddits keep showing up in our retargeting audience, we test running direct campaigns in those communities. If irrelevant subreddits appear, we exclude them just like negative keywords in Google Ads. Use subreddit insights for outbound and content. Understanding where your audience spends time informs more than just ad targeting. These insights help guide content strategy, influencer partnerships, and even outbound messaging. Instead of assuming where your buyers are, this method lets the data tell you where to go next.