Conversion Rate Analysis for Mailings

𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆: 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗘𝗺𝗮𝗶𝗹 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗳𝗿𝗼𝗺 $𝟰𝟵𝗞 𝘁𝗼 $𝟯𝟬𝟬𝗞 𝗶𝗻 𝟵𝟬 𝗗𝗮𝘆𝘀 Initial Situation and Challenges: The client was struggling with a stagnant email marketing performance: Open Rates: 7% Click Rates: Less than 0.2% Inbox Placement: Around 60% across major ISPs Spam Rates: Above 0.4% at Gmail, and 0.1% - 0.5% at other ISPs These figures highlighted significant deliverability issues, with a considerable portion of emails not reaching the inbox, affecting engagement and revenue. 𝗦𝘁𝗲𝗽 𝟭: 𝗔𝗻𝗮𝗹𝘆𝘇𝗶𝗻𝗴 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲. 𝗧𝗼 𝗶𝗱𝗲𝗻𝘁𝗶𝗳𝘆 𝘁𝗵𝗲 𝗿𝗼𝗼𝘁 𝗰𝗮𝘂𝘀𝗲𝘀, 𝘄𝗲: 1. Studied Unsubscribes and Soft Bounces: Determined that certain segments and content types had higher unsubscribes and soft bounces. 2. Content Performance Review: Found that concise content (no more than 2 scrolls) with a CTA within the first scroll had higher engagement rates. Actionable Insights: Shorter emails with prominent early CTAs drove better conversions. 𝗦𝘁𝗲𝗽 𝟮: 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 We executed multiple tests to refine content: 1. Layout and Image Alterations: Changed email layouts and image-to-text ratios to see their impact on deliverability. 2. Footer Disclaimers and Content Changes: Tweaked footer disclaimers which led to better inbox placement, especially in Gmail. Results: Improved Gmail inboxing rates and engagement. However, these changes did not significantly impact Yahoo and Hotmail. 𝗦𝘁𝗲𝗽 𝟯: 𝗜𝗦𝗣-𝗦𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗮𝗻𝗱 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 1. Revenue and Click Analysis by ISP: Discovered Yahoo and Hotmail had better conversion rates than Gmail, indicating higher engagement from these ISPs. 2. Hotmail Focus: Despite low inboxing (45%), Hotmail drove more revenue than Yahoo. We liaised with Microsoft for three weeks to resolve IP blocking issues, doubling the volume sent to Hotmail. 3. Yahoo Adjustments: Improved inboxing to 80% by targeting users who had engaged (opened emails at least 10 times and clicked once) in the last 60 days. 4. Gmail Strategy: Implemented content changes and special segmentation strategies, boosting inboxing to 70% and reducing spam rates below 0.2%. Outcome: ISP-specific strategies led to improved inbox placement and engagement across the board. Step 4: Results and Impact Inboxing Improvements: Gmail: Increased to 70% Yahoo: Improved to 80% Hotmail: Resolved IP issues and doubled volume. Open Rates: Grew to an average of 15% in 90 days Revenue: Increased from $49K to $300K per month within 90 days. Continued in the comment section... #email #emailmarketing

Your email marketing list has three types of people on it: Readers who never buy Buyers who never read And the 8% who do both Most brands optimize for the readers. They craft perfect subject lines, test send times, obsess over open rates. Meanwhile, the buyers are ignoring every email and just coming back when they need to reorder. Here's what nobody talks about: Your buyers don't need more emails. They need fewer, better timed ones. I pulled data from brand's ESP. Here's what we found: People who bought 3+ times had an average email open rate of 11%. People who bought once had an average email open rate of 34%. The best customers were ignoring most emails! So we split the list: Segment 1: High engagement, low purchase These people open everything but never buy. They're tire kickers. Entertainment seekers. Freebie hunters. Action: Moved them to a weekly digest instead of daily sends. One email, all the content. Stop burning domain reputation on people who aren't converting. Segment 2: Low engagement, high purchase These people buy every 40-60 days like clockwork. They ignore promotional emails. They don't care about your content. Action: Sent them exactly three emails between purchases: - Day 30: Refill reminder (just inventory check, no pitch) - Day 45: "You're probably running low" - Day 55: Reorder link, one-click Open rates stayed low (12%). Conversion rate on those three emails: 43%. Segment 3: High engagement, high purchase The golden 8%. They read AND buy. Action: These people got everything. New products first. Behind-the-scenes content. Early access. VIP treatment. The result after 90 days: Total email volume: Down 62% Revenue from email: Up 31% Unsubscribe rate: Down 55% The lesson: Stop treating your email list as ONE Your best customers don't want to hear from you more. They want to hear from you smarter. Figure out who's buying despite your emails, and get out of their way.

Is your newsletter's click-through rate stuck at 0.5-1%? 5 ways to consistently hit 3-4% CTRs (a few lessons from working with top newsletters): 1. Put your links above the fold Reader attention drops fast. So, put your most clickable content at the top before anyone scrolls: • If you're curating news: move the most compelling stories to the top • If you're running ads: test sponsor placement before the first section • If you're linking out to long-form content: tease it up high 2. Write short emails with one CTA Not every email needs to be a blog post. Often, a short, focused message with one clear ask performs better, especially for launches, webinars, or sponsor promos. 3. Ditch corporate language for sponsor copy Stop writing like a brand. Start writing like a human who actually uses the product. Bad: "This CRM helps you track customers and increase conversions" Good: "I used to forget to follow up. Day AI now pings me in Slack before key meetings with a reminder: ' Hey, you’ve got a meeting in 3 days—you still need that data.’ I wouldn’t remember otherwise, we LOVE this thing" 4. Segment your data Your readers aren’t one-size-fits-all. So, segment your list to send more relevant messages to smaller groups of readers based on their: • Engagement history (e.g., opened the last 5 emails, clicked on a SaaS-related link) → Use your ESP • Demographics or job roles (e.g., marketers vs. founders) → use Megahit • Purchase stage (subscriber vs. trial user vs. paying customer) → Use subscription management platform / ESP Example: Got a sponsor for a marketing analytics tool? Instead of blasting it to everyone, send it only to people who: • Have clicked on previous marketing tools • Work in marketing roles (based on past surveys or onboarding questions) • Have engaged with similar content Even basic segmentation can 2–3x CTR. 5. A/B test Start with small micro-optimizations: • Button vs. text link • Hyperlink color (blue vs. black) • With/without images • Sponsor-written copy vs. creator-written For example, The Neuron uses images while 1440 doesn’t, based on reader feedback. Both approaches work. That’s why you test.

Average metrics are comfort blankets for marketers who don’t zoom in. - Conversion Rate = 3% - AOV = $60 - ROAS = 3.2 Looks healthy? Look deeper. The problem’s buried in your segments, not your metrics. Let me show you 👇🏻 ➡️ Conversion Rate - First-time: 0.5% - Returning: 8% > Retention is working. Acquisition is broken. -- ➡️ AOV - Desktop: $80 - Mobile: $45 > Mobile is killing your average. -- ➡️ Add-to-Cart Rate - 1 product view: 20% - 5+ product views: 5% > Too much browsing = confused user = no cart. -- ➡️ Cart Abandonment Rate - Logged-in: 40% - Guest: 85% > Anonymous traffic is bleeding money. -- ➡️ ROAS - Branded Search: 9.5 - Prospecting: 1.2 > Your "ROAS 3.2" hides where the scaling’s happening. -- ➡️ Email CTR - Educational flow: 7% - Winback flow: 0.8% > Don’t scale flows that aren’t fixed. -- Framework takeaway? - Before you scale, segment. - Before you brag, diagnose. - Before you blame Meta, fix your flows. #ecommerce #D2C #performanceMarketing #retention #growth

Most people are losing revenue by tracking the wrong metrics. Only looking at reply rates? You're burning cash. Elite operators build comprehensive funnels that capture value at every stage. Here's the complete outbound analytics framework that's transformed how we measure and optimize campaigns. Stage 1: Outbound Efforts Analysis We track performance across three dimensions: • Message Analysis (LinkedIn + Email engagement) • Sequence Evaluation (CRM tracking and decay mapping) • Channel Performance (Analytics on cost-per-conversion and ROI) This gives us granular visibility into what's working where. Stage 2: Response Quality Assessment: Beyond counting replies, we analyze: • Quality of responses (interest level, decision-maker status) • Response-to-meeting conversion rates using Calendly data • Budget Qualification and pricing success metrics Most agencies miss this - they count all responses equally when they're not. Stage 3: Deal Value & Pipeline Management We track every opportunity through: • Meeting booking rates and show-up percentages • Sales velocity and close rate analysis • Meeting-to-close ratio optimization Only caveat here is that closing metrics can be somewhat skewed depending on who the closer is. Stage 4: The Revenue Recovery System Here's where most agencies leave money on the table: For prospects who DON'T book meetings: • 21-day re-engagement sequences (push big offers) • Retargeting analysis comparing CTR across different segments (yes, you can use CTR on reengagements) • Systematic nurturing that brings prospects back when timing improves For prospects who DO book meetings: • Pipeline velocity tracking through CRM • Close rate analysis to identify bottlenecks • Optimization of meeting-to-close conversion By implementing this full-funnel approach, we're recovering revenue that most agencies write off as "lost prospects." The breakthrough insight: Your first outbound touch is just the beginning of a longer revenue cycle. Most operators optimize for immediate responses. We optimize for total lifetime value from each prospect interaction. If you're still measuring success by reply rates alone, you're missing massive revenue opportunities. Are you tracking your complete outbound funnel, or just measuring the top of it?

We generated $55M testing email campaigns for clients. Not guessing, not copying templates, actually testing what drives revenue. CTA LANGUAGE Three approaches work. Straightforward ("Shop the Sale"), humor-based ("Treat Mom - She Deserves It"), emotional ("Experience It for Yourself"). Run 3 variations at once across different segments. Track click-through AND conversion. CTA BUTTON DESIGN Shape, color, size, and placement all impact conversion. Brand colors vs high-contrast colors, large prominent buttons vs subtle inline vs multiple CTAs vs single focused. HERO IMAGES Static product shot for ecommerce. Looping GIF for lifestyle brands. Lifestyle imagery for aspirational brands. Cozy/organic for wellness brands. Glossy close-up for tech and luxury. SUBJECT LINES Emoji at beginning grabs attention, at end adds subtle emphasis, none feels professional. Short (3-5 words) vs medium (6-10 words) vs longer & personal (10+ words). PRICING DISPLAY Upfront pricing for premium products. No pricing for complex products. Range pricing for service businesses. "Starting at $99" anchors low, "Only $299" emphasizes value, "$399 $299" shows savings, "3 payments of $99" reduces barrier. REVIEWS Video testimonials drive highest trust and engagement. Text + photo drives high trust and engagement. Star ratings drive medium trust and engagement. FLOW TIMING Abandoned cart at 24 hours often performs best. People need time to process. Product-specific messaging outperforms generic messaging significantly. TESTING RESULTS Customer reviews add +23% conversion. Benefit-focused copy adds +31% conversion vs feature-focused. Strong urgency adds +18% conversion vs subtle scarcity. POP-UPS Free shipping wins on long-term value with 9.8% conversion and no AOV impact. Revenue per email is the only metric that actually matters. Everything else is just a signal. Test relentlessly, track what drives revenue, scale what works.

A client’s conversion rate recently dropped from 3.2% to 2.2%! Just had a strategy session to assess where to go from here…and how to get that conversion rate back. Remember that’s not a 1% drop. That’s a 33% relative drop. That’s trouble. Here’s a look at the process we went through to help diagnose the issue and work towards a solution. #1 - Understand if the conversion rate drop is across the board or varied by channel. Run a report in Google Analytics and look in platform at all major traffic sources. Was there a major drop in conversion rate in one channel over another? For example is Meta cruising, but Google conversions fell off a cliff? Then I would go deeper and see if it was a campaign issue or an ad issue inside of Google. In this case, no traffic source had seen a material drop in conversion rate. Interesting. #2 - Did traffic composition change? For example if my traffic and conversion rate usually look like this: 30% traffic from Meta with a 2% conversion rate 15% traffic from Google with a 5% conversion rate 30% traffic from Email with a 10% conversion rate 25% traffic from organic with a 5% conversion rate If we had a few weeks where email stopped (as an example), and Meta went from 30% of traffic to 60% of traffic and email went to 0%, then ALL conversion rates could have stayed the same by channel but we would have seen a large drop in conversion rate. This is mostly what happened, but still didn’t explain the issue. Email dropped percipitously and Meta grew. NEXT STEPS: get email back to normal levels - NOW. #3 - Start at the cart for onsite issues and work your way back. We still believed there were some issues with the site in addition to a major shift in traffic composition.  What did we do? We started at the cart. The did have some issues recently with cart errors, but those reportedly were fixed. We then looked at landers, PDPs and collection page. Turns out they did make some pretty significant images changes on some popular landers. NEXT STEPS: run more tests to confirm the cart issue is truly fixed. Revert recent changes to landers. It’s really a process of understanding: - What's the actual problem? - Why? - Breaking everything down into meaningful components. - Working on strategic & tactical next steps.

This new welcome email converts 2.4 times better. Let me show you how we increased sales of a welcome email by 2.4 times with Trust Acceleration. Take a look at the Klaviyo screenshot attached. The email on the left (set up by a previous agency) has a 7.9% conversion rate. The email to the right (ours) has an 18.7% conversion rate. In other words: For every 100 subscribers receiving the old email, only 8 would buy. Now with our new email, 19 are buying. Can you see how this shifts the entire business around? This business relies on Google ads to get visitors, and they're spending thousands of dollars a day. Meaning every site visitor sets them back $2-5. It's our professional duty to make sure those clicks are not wasted. Previously they were flushing down the toilet hundreds of dollars A DAY on unconverted visitors who went away and shopped elsewhere. Everyone talks about a "leaky bucket". But this is exactly what it looks like and how to prevent it. The right welcome email can make or break a business. Because we're not only converting 2.4 times more subscribers into buyers. But also 2.4 times as many folks are going through our post-purchase sequences. And 2.4 times more folks are more likely to pay attention to our future campaigns (customers have higher open rates). This creates a snowball effect. And such is the power of Trust Acceleration. The faster you gain their trust the faster you get the sale. So why not do it right from the first email they receive? That's exactly what we did. And that's also why we tested various versions of this email before we decided on a winner. More: We do this with every other core flow as well. Such as the checkout abandonment and post-purchase sequences. Even more: I mentioned how this creates a snowball effect. And that's because this Trust "spreads" elsewhere. When we do this right, we see all campaigns convert better, flows convert better. It amplifies the results of all email marketing (and I'm confident it positively impacts paid marketing too, raising ROAS, although I don't have the data at hand). That's how we increased this brand's email sales from $38k per month to $168k per month within 3 months. Trust Acceleration

I made one brand $55,570 in 1 month with segmented email campaigns. A consumer CPG brand was struggling with low email conversion rates, sending generic promotions to their entire list. Engagement was dropping and they weren’t seeing the sales they expected. The Problem: No segmentation. One-size-fits-all emails. Minimal personalization. Here’s What I Did: 1. Segmented the Email List: Divided their audience into groups based on behavior—new subscribers, frequent buyers, and dormant customers. 2. Tailored Messaging for Each Group: New subscribers got educational content. Frequent buyers received loyalty-driving emails. Dormant customers were re-engaged with value-focused offers instead of just discounts. 3. Personalized Content: Added dynamic content to make emails feel personal and relevant. The Results: 35% increase in conversion rates. 25% boost in open rates. Higher engagement across all customer segments. An extra $55,570 in just 4 weeks. By sending the right message to the right audience, we turned their emails into a reliable sales driver. Stop sending the same emails to everyone. #EmailMarketing #CaseStudy #MarketingStrategy #CustomerSegmentation #ConsumerBrands #DigitalMarketing #RetentionMarketing Read this post and more on my Typeshare Social Blog: https://lnkd.in/ectNZQic