Utilizing Customer Data Analytics

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

❓ Do Men and Women Use ChatGPT Differently ❓ New data from OpenAI suggests the answer is YES. The conversation around Generative AI's impact often focuses on the technology, not who is using it. The latest research on ChatGPT usage by millions of people reveals two key shifts: a move toward gender parity and distinct differences in how men and women are leveraging the tool. Let's start with usage. The initial significant GenAI gender gap has nearly disappeared. In the first few months after ChatGPT's launch, around 80% of active users had typically masculine names. By June 2025, that number had declined to 48%, with active users slightly more likely to have typically feminine names. This signals that ChatGPT usage basically mirrors the general population. Now, let's look at usage behaviour. While adoption is reaching parity, men and women still favor different applications: ♀️ Users with typically feminine first names are relatively more likely to use ChatGPT for 'writing' and 'practical guidance'. ♂️ Users with typically masculine first names are more likely to use it for 'technical help', 'seeking information', and 'multimedia' (e.g., creating or modifying images). Beyond usage, users with typically masculine names are more likely to engage in "Asking" behavior ('seeking information' or 'advice for decision support'), while users with typically feminine names show a greater propensity for "Doing" messages (requesting the model to complete a task, such as drafting a document) within their work-related messages. This aligns with the topic differences, where "Doing" is heavily skewed toward 'writing', a category more frequently used by those with typically feminine names. Here's a 🔗 to the academic article containing the full results: https://lnkd.in/eFQPEgEc IMD #GenerativeAI #FutureofWork #ChatGPT #GenderParity #AILiteracy

Your replenishment email flow is probably too generic. And it's hurting your customer retention and losing you sales. Most brands send the same replenishment emails to everyone—at the same time. But what if you personalized the timing based on how much a customer actually bought? Here’s an example that we did for one client: 🛒 Bought a 12-pack? → Time delay is 35 days 🛒 Bought a 24-pack? → Time delay is 45 days 🛒 Bought a 32-pack? → Time delay is 65 days (These are just example numbers to get the point across. I cannot share the exact numbers and time delays.) By doing this, the email hits when they actually need a refill—not too soon, not too late. ✅ Higher conversions (because the timing makes sense). ✅ Better retention (because the offer is relevant—they need it now because they're running low on it). ✅ More revenue (because you’re meeting customer demand perfectly & you can upsell them on something else as well). Every brand is different—analyze your time between orders and adjust your flow accordingly.

Your emails might not be reaching the inbox - here’s how to fix it Most brands don’t realize they have a deliverability problem until it’s too late. You’re still sending emails. You’re still seeing opens. But behind the scenes? More emails are landing in spam or promotions. Here’s how to protect your inbox placement: 📡 Sending Reputation – ISPs (Gmail, Yahoo) score you based on engagement. ✔️ Warm up new domains, avoid sudden volume spikes. 🛠 Authentication (SPF, DKIM, DMARC) – Without these, providers don’t trust you. ✔️ Set up proper records & align them correctly. 📩 Inbox Placement ≠ Open Rate – A 25% open rate doesn’t mean you’re in primary. ✔️ Test with tools like MailGenius or GlockApps. 🚀 Volume & Frequency – Sending too many emails too fast kills reputation. ✔️ Scale volume gradually & stay consistent. 💀 Dead Weight on Your List – Low engagement signals providers to filter you. ✔️ Suppress inactive subscribers after 90-120 days. Email isn’t just about what you send - it’s about whether it even gets seen. When’s the last time you checked your inbox placement? If you’re not monitoring it, you’re flying blind... #emailmarketing #ecom #ecommerce

You can craft the most creative messaging and have the best targeting in the world, but if you can't land in the inbox - your efforts will be wasted. I've outlined 8 steps for top notch email deliverability: After reviewing data from 10,000+ inboxes, these are the practices RevGrowth trusts for safe, consistent inbox placement. Most teams skip at least one of these, then wonder why their cold emails land in spam. Here’s how we set up every outbound campaign: 1️⃣ Use Secondary Domains → Never send from your main domain. ↳ We buy secondary domains through Cloudflare for extra security and easy management. 2️⃣ Track Replies Only → Open and click tracking hurt deliverability. ↳ We keep reply tracking on and turn everything else off. Clean signal, less risk. 3️⃣ Send Fewer Emails Per Mailbox → We stick to 30 emails/day per mailbox, max. ↳ Spread your volume across several domains. Fewer red flags, more consistency. 4️⃣ Warm Up Slowly → Ramp up sending volume over time. ↳ Start low, increase gradually. This builds trust with inbox providers. 5️⃣ Double-Verify Your Lists → Bad data kills sender reputation. ↳ We use LeadMagic, Icypeas, and Prospeo.io for initial cleaning, then double-check with BounceBan (Verify risky emails without sending messages). Clean lists = low bounce rates. 6️⃣ Use Modern Sending Platforms → Old-school SEPs drag down deliverability. ↳ We recommend Instantly.ai, Smartlead, or EmailBison. 7️⃣ Automate CRM Syncing → Manual updates cause errors and missed follow-ups. ↳ OutboundSync handles real-time syncing with HubSpot or SFDC. Less manual work, more accuracy. 8️⃣ Stick to Plain Text → Links and images lower inbox rates. ↳ We write text-only emails. They look more human and get better placement. Email is not dead. But the rules have changed. You need the right setup and clean data, not just good copy. I keep these 8 steps in every workflow for all of our client accounts. What’s been your biggest deliverability challenge lately?

I cracked the code on why some email flows make millions while others flop. The secret is what we used to take this clients revenue up 9.9% in just 30 days. After building 1000+ email flows... Most marketers focus on: → Subject lines → Send times → Pretty designs But the real difference maker? Timing. Here's what most people get wrong: → They use "best practice" timing. → Send welcome email immediately → Follow up in 3 days → Send again in 7 days But every brand is different. We analyzed time-to-purchase data and found: → Some customers buy in 13 minutes → Others take 6 days → 90% convert within 48 hours The fix: → Track YOUR customer behavior → Time emails based on YOUR data → Stop following generic advice Best practices are just average practices. Your data is your competitive advantage.

In 6 months, we tripled The Dallas Express' newsletter list size. While improving their inboxing from 70.5% to 98.7% (here’s how): The Problem? The Dallas Express damaged their sending reputation and email deliverability. How? Previous attempts to rapidly scale their email list within the Dallas/Fort Worth area But through their own efforts, they recover enough to land in spam just 30% of the time. DX came to our team looking for both improved deliverability and sustainable list growth. The solution? 1/ Segmentation Critical to preserving deliverability, we introduced key audience segments to include in the rotation of newsletter sends. If a contact doesn't engage with newsletters from DX for an extended period of time, they receive less frequent communication. With this simple change, we were able to drive down unsubscribe and spam complaints, making room for more new list growth. 2/ New data channels The Dallas Express has solid site traffic. We introduced identity resolution tools that enabled DX to collect email address based on that site traffic. Apart from opt-ins, data collected using this tool was our healthiest source for list growth. 3/ Prospecting In addition to opt-ins and identity resolution… The Dallas Express was still interested in re-incorporating the data they originally had (nearly 1 million records). So we put DX on a safe growth trajectory by introducing that data into the list with low doses. 4/ Sourcing more & better audiences We worked with a variety of different sources to find out new audiences that would be ideal for DX content. When contacts engaged, they would be incorporated to the primary content. These audiences were the best performing. The Outcome?  - Inbox Placement Improvement from 70% to 98%+  - Core List Growth from 200k contacts to 600k

Your emails are getting ignored because they're landing in promotions tabs...not because your content isn't compelling. Sounds simple, but ecommerce brands lose thousands monthly because their messages never hit the primary inbox. The brutal part? They're completely unaware it's happening. What's destroying your inbox placement: - Overloading emails with tracking pixels (major red flag for Gmail) - Using sketchy sender domains that don't match your brand - Ignoring unengaged subscribers for months (clean your lists) - Zero monitoring of your domain reputation Your clever copy and beautiful designs are useless if they're invisible. The gap between 60% and 90% inbox placement could mean a 40% revenue jump for your email program. When did you last audit your delivery rates? Most brands we work with can't even find this data. Three clicks in your email platform will show you everything. Under 85%? That's a backend issue that can multiply revenue without creating a single new campaign.

Sharper subject lines, punchier CTA but conversions are still flat. I’ve rewritten more emails at 2am than I care to admit. The problem wasn’t the words → It was the logic Wrong segments. Dead data. Fake personalization Turns out, pretty words don’t fix the wrong message So I built a process that starts with diagnosis, not copy. Here’s Our 3-step blueprint: 1. Review the data (and the plumbing) We pull the metrics most agencies ignore: • Click-to-open rates by segment • Dead-weight % (unengaged + bounces) • Deliverability configs (SPF, DKIM, DMARC) Most email issues aren’t creative → They’re clogged pipes. 2. Personalization teardown + segmentation logic check We run what I call the “Is this really personalized?” test: • Is it behavior based or just {first_name}? • Are dynamic blocks firing where they should? • Is the segment logic too broad or worse, not relevant? We tweak just enough to tighten impact. → No bloated “AI hyper-segmentation” here 3. A/B test strategy: build, don't spray Most folks “test subject lines” and call it strategy. We build an actual testing roadmap: • Prioritized personalization levers (not just buttons) • Test durations tied to audience size • Measured not guessed Each test gets a hypothesis → Each win gets a playbook. This audit isn’t magic → It’s process. It shows you exactly where you’re leaking revenue → and how to plug it. Want this audit done for your brand? Comment "TEARDOWN" to Book a call  and let’s fix it together

Poor email deliverability creates an invisible wall between you and your customers. We see this scenario play out too often: → A marketing team creates amazing content → The brand sends it out → Emails go to spam or bounce → Sales opportunities vanish That’s why you *must* make email deliverability your top priority. Here’s how: ↓ 1. Track key metrics daily Leverage your ESP to monitor: → Unsubscribe rates → Bounces → Domain health When numbers spike, find out why— Was it a specific campaign? A particular segment? Pinpoint the issue and fix it. 2. Segment strategically Ditch the “one size fits all” approach— Break your list into targeted groups: → New subscribers → Frequent buyers → People who browse but don’t buy → Fans of certain products → Engagement tracks based on varying levels of engagement …then write emails that fit each one. A skincare brand we work with split their list by skin type— Oily skin folks got different product recs than dry skin types… …and opens jumped 25% in just one month. 3. Keep your list clean Get rid of… → People who never open emails → Emails that bounce → Inactive contacts A small, engaged list beats a big, quiet one— This helps you avoid the dreaded Gmail promotions tab (once you get in, it’s hard to get out!). 4. Make it personal Use what you know about each subscriber to… → Recommend products they’ll like → Send emails when they’re likely to read → Create content based on their likes and needs Make your emails feel like they’re just for them. These elements work together: → Segmentation boosts relevance → Monitoring catches issues early → A clean list helps emails get through → Personal touches keep people reading The goal isn't more emails— It’s *better* emails that actually get in the hands of consumers when they are most likely to buy Quality content + the right consumers + engaged readers… …that's the formula for turning emails into revenue.