Analyzing Customer Behavior Trends

We analyzed 4 million recruiting emails sent through Gem. Most get opened. But only 22.6% get replies. Half those replies are "thanks, but no thanks." We dug into what actually works. Here are 8 factors that drive REAL responses: 1. Strategic timing beats everything else - 8am gets 68% open rates. 4pm hits 67.3%. 10am lands at 67% - Most recruiters blast at 9am when inboxes are flooded - Avoiding peak times alone can boost your opens by 7-10% 2. Weekend outreach is criminally underused - Saturday/Sunday emails get ≥66% open rates consistently - Why? Empty inboxes. Zero competition. Candidates actually have time - Yet few recruiters send on weekends. Their loss is your gain 3. Keep messages between 101-150 words - Shorter feels spammy. Longer gets skimmed - You need exactly 10 sentences to nail the essentials - Every word beyond 150 drops performance 4. Generic templates kill response rates - Generic templates: 22% reply rate - Personalized outreach: 47% increased response rate - Even adding name + company to subject lines boosts opens by 5% 5. Subject lines need 3-9 words - Include company name + job title for highest opens - "Senior Engineer Role at [Company]" beats clever wordplay - 11+ words can work if genuinely intriguing, but why risk it? 6. The 4-stage sequence is optimal - One-off emails are dead. Send exactly 4 follow-up messages - You'll see 68% higher "interested" rates with proper sequencing - After stage 4, engagement completely flatlines. Stop there 7. Get the hiring manager involved - Having the hiring manager send ONE follow-up boosts reply rates by 50%+ - Yet most recruiters don't use this tactic - Weekend advantage: Minimal competition for attention 8. Leadership involvement is a cheat code - Role-specific timing (tech vs non-tech) matters - Technical roles: 3 of 4 best send times are weekends - Engineers check email differently than salespeople. Adjust accordingly TAKEAWAY: These aren't opinions. This is what 4 million emails tell us. Most recruiting teams are stuck in 2019 playbooks wondering why their reply rates won't budge. Meanwhile, recruiters who implement these 8 factors see dramatically better results. The data is right there. The patterns are clear. The only question is: will you actually change how you operate? Or will you keep sending the same tired emails at 9am on Tuesday? Your call.

I sat down with Lea Algazy, Head of Partnerships at Rep AI, to break down how combining Rep AI and Mailability.io is unlocking 50%+ of total store revenue through email with Klaviyo. The secret? Using Conversational AI data + real-time intent scoring to move beyond static email journeys. Here’s the 3-step strategy powering it: Step 1: Turn live conversations into data-backed email journeys - Rep AI’s chatbot collects emails through natural, high-intent on-site interactions. - Those subscribers are synced directly to Klaviyo, enriched with context and preferences. - Mailability.io applies a real-time Intent Score to each profile the moment they enter your system. Step 2: Score and segment based on real behavior - Every profile is scored individually, not just tagged - That allows brands to: • Re-engage shoppers who chatted in the past but didn’t convert • Identify moderate-intent profiles and warm them up • Pinpoint hyper-engaged users who just need one more nudge to buy - Profiles move in and out of Mailability’s AI segments and AI flows automatically, based on real-time behavior. Step 3: Personalize flows and campaigns at scale - Use the combination of Rep AI’s 500+ chat data points and Mailability’s Intent Scores and smart actions to send the right message, to the right message, at the right time, on autopilot. - Brands are using this to: • Warm up cold profiles and bring them into high-performing AI campaign lists and flows • Increase site activity by 71.5% by sending the right message at the right time • Trigger on-site engagement when high-intent users return, without missing the moment to increase email revenue by 32% It’s not about blasting more emails. It’s about aligning signals across your tech stack and letting real-time behavior guide every send. The full breakdown is in the slides. Curious how this might look inside your Klaviyo account? Let’s connect? https://lnkd.in/dCdwyQ2d

POST-4/7👉 Email used to be a megaphone. In 2025, it’s a whisper in a very specific ear. Gone are the days when “blast to all” could pass as a strategy. In fact, that approach in 2025 is actively hurting your deliverability. Email Service Providers (ESPs) like Gmail, Yahoo, and Outlook are no longer just evaluating your IP health—they’re scoring your sender behavior at the recipient level. That means if 40% of your list is cold or disengaged, Gmail sees you as the problem—not just the user. ⚠️ Real Consequence: 1. We audited an ecommerce fashion brand with 220K contacts. Over 92K of them hadn’t clicked a single email in 90+ days. Gmail flagged them for bulk spam behavior, and inboxing fell from 78% to 46% overnight. 2. They were running promos weekly. Nothing was technically broken—but nothing was relevant. That’s what got them crushed. What Micro-Segmentation Solves in 2025: ✅ Reduces spam complaints ✅ Increases engagement velocity ✅ Signals positive intent to inbox providers ✅ Unlocks higher revenue per send with smaller cohorts Micro-Segmentation Tactics That Work Now: 1. Behavior-Based Journeys: Forget static tags. If someone viewed winter boots but didn’t buy, your next 3 emails better talk about warmth, snow, or style—not your general spring lookbook. ✅ Klaviyo + Shopify data lets you trigger flow branches based on: Last viewed product category Cart abandonment by SKU group Pages viewed in session (via UTMs or on-site behavior) Pro Tip: Use dynamic content blocks inside campaigns to adjust hero sections based on browse activity without cloning entire flows. 2. Lifecycle Automation by Spend Velocity This isn’t “new vs returning” logic anymore. In 2025, flows shift based on: Time since last order AOV trends SKU replenishment cycles Example: First-time customer who hasn’t returned in 30 days → “2nd purchase incentive” High-value buyer within 7 days → “VIP early access” Customer inactive 60+ days → Winback + dynamic offer block + channel sync suppression 3. AI-Supported Clustering Tools like RetentionX, Lexer, and even Klaviyo’s predictive analytics are now building multi-dimensional customer clusters using: Purchase frequency Channel source Time to second order Category loyalty It’s loyal mid-value buyers who shop monthly but only when free shipping is offered. ✅ What to do: Export these clusters to your ESP Build messaging that maps exactly to their past actions Suppress low responders from paid channels and warm email instead. Ready to Execute? Create 5 foundational micro-segments: 1. High spenders 2. First-time buyers 3. VIPs (CLV > 2.5x avg) 4. Dormant >90 days 5. Active clickers, no conversion Test 2 cadences per segment: VIPs: 4x/month + early access Dormant: 1x/month reactivation with content—not promos Use Recency, Frequency, and Monetary score buckets to tag customers and let your automations react to movement between them. #EmailMarketing #email

The biggest hack in growing a business in 2025 is understanding consumer behaviour, especially when it comes to platforms. From my research and experience, different audiences interact with content differently and belong to communities in unique ways. Outside the US, WhatsApp is the go-to platform for communication and community. No wonder all the top brands now have WhatsApp channels and communities. To put this in perspective, WhatsApp has over 2 billion global users, making it the leading messaging app in many regions outside the US. Brands are leveraging WhatsApp’s group and community features, which support up to 1,024 members per group and up to 50 groups within a community, to build highly engaged audiences. We conducted a litmus test on community building and engagement. We discovered that email open rates, Slack engagement, and other platforms performed considerably lower compared to WhatsApp. For example, WhatsApp messages have an average open rate of 98%, while email open rates hover around 21-25%. Conversion rates on WhatsApp can reach 45-60%, significantly higher than the 2-5% typically seen with email or SMS campaigns. Now, with the rise of AI, WhatsApp automation and chatbots are helping businesses increase engagement, boost appointment show-up rates, and drive overall sales. Businesses using WhatsApp chatbots have reported up to a 60% increase in sales, 3x higher customer conversion rates, and a 30% reduction in operational costs. These AI-powered tools enable personalised, real-time communication, which 72% of consumers say makes them more likely to engage, and 66% have made purchases after interacting with a brand on WhatsApp. As a founder, you should not only tailor your customer journey to the platforms your audience already uses but also start leveraging AI to speed up conversations and free up your time. Building and managing communities on WhatsApp, using sub-groups, broadcast lists, and polls, keeps engagement high and fosters a sense of belonging. If you’d like to learn more about how WhatsApp can help you scale your business, I’m happy to chat. ♻️ Repost and Share with someone who needs this strategy #socialmedia #digitalmarketing #ai #marketing #growth #community #communitybuilder #whatsapp #aiautomation

#BackToTheField #FieldWorkDiaries Thrilled to be returning to what energizes me most - some people call it grassroots research and field work - I call it unfiltered gossip! Currently undertaking consultations with #women living near industrial areas in #Odisha, exploring critical intersections: #WomensWorkforce participation: Understanding employment patterns, educational pursuits, and skill development initiatives among women in industrial peripheries. #GenderedMobilityPatterns: Examining how women navigate their daily commutes and how factors like age, employment status, and family dynamics shape their movement patterns—bringing fresh perspectives to gendered mobility research. #TheCareEconomy: Investigating how unpaid care responsibilities impact women’s professional opportunities and personal well-being. #RestRecovery: A dimension we rarely discuss—how much time do women actually have for rest and sleep? These conversations remind me why fieldwork remains irreplaceable. Behind every statistic are real stories, complex trade-offs, and insights that can only emerge through genuine dialogue with communities. The women I’m speaking with are experts - from their own experiences, they offer such a clear understanding of how industrial development intersects with gender, mobility, and economic participation. Am excited to see how our team at Nikore Associates will translate these insights into research that centers lived experiences and contributes to more inclusive policy frameworks. #FieldResearch #WomenEconomicEmpowerment #GenderEconomics #Mobility #WomenAndWork #CareEconomy #Odisha #CommunityEngagement #PolicyResearch

Financial services consumers are among the most digitally active, yet the least understood. There’s always been deep investment in product and tech. But far less in decoding how consumers actually discover, evaluate, and adopt financial products in a digital-first world. Meta in partnership with Ipsos set out to understand that with one of the most comprehensive studies in recent times on how Indians navigate financial services online. Across insurance, lending, banking, and investment, this research maps the real consumer journey, with a lens on platforms, content, influencers, and behaviors. Here are a few insights that stood out for me: • Digital First Purchase Journeys 6 out of 8 touchpoints in the consumer journey are digital. Half of those happen on Meta platforms. • New Financial Literacy Codes 57% use Reels and 53% use Facebook video to make financial choices • Creators' Choice is Consumer Choice Content creators now fuel discovery for financial products as well as aid evaluation, 67% trust them for advice. • Women Drive Financial Decisions Women are leading engagement with more time on Instagram & WhatsApp, and 80% say they make financial decisions independently. • Conversational Marketing Fuels Purchase WhatsApp is more than chat, it powers discovery (44%), evaluation (50%) and purchase (48%). The full report is attached in the first comment. Worth a read if you’re building for this space. With Shweta B., Raveesh Bhatnagar, Manya Joshi, Shalaka Pawar, Jerrin Joy, Rajat Jadhav And Kamayani Singh, Amrita Ray Chaku, Devendranath Bangi, Mahima Gandhi, Gaurav Agrawal, Ambika Balasubramaniam, Prache Agarwaal, Chitra Chatterjee And Meta for Business #MetaForBusiness #FinancialServices #DigitalJourneys #MarketingResearch #ReelsForFinance

Should you treat email, SMS, and WhatsApp the same? Absolutely not. Email is expected. It’s the channel customers check when they have time. It’s passive, it sits quietly in the inbox. SMS and WhatsApp are different - they interrupt. They live next to messages from partners, friends, group chats. You’re not just competing with other brands, you’re stepping into someone’s personal life. If you're going to use those channels, the message has to earn its place. What’s worthy? A product drop with real demand. A time-sensitive, high-impact promotion. A restock alert for something I actually wanted. “New arrivals” and “browse the latest” might be fine for email, but they're lazy content for SMS or WhatsApp. If you’re working across multiple platforms, the question isn’t just what you’re saying, it’s how, where, and when you're saying it. We should be considering: Sequencing: If the customer received the offer via email this morning, should SMS follow up tomorrow if unopened? Or should WhatsApp be used only if they’ve historically engaged there? Suppression logic: Avoid over-messaging. Are we throttling based on frequency and channel mix? Personalisation by behaviour: Does the channel match the customer's engagement pattern? (E.g. only send SMS to those who click and convert from it.) Context-aware content: Messaging should feel native to the channel. WhatsApp shouldn’t feel like an email copy-paste. SMS shouldn't mimic a website banner. Most importantly: your customer is one person. They deserve a joined-up, intentional journey, not three disconnected nudges about the same thing.

The hidden reason 90% of outbound campaigns die after 30 days (and it's not what you think). It's not deliverability issues. It's not terrible offers. It's not bad copy. It's that most teams never build feedback loops. They launch a campaign, send it for a month, and when results plateau, they blame the list. Then they start over with new: Copy. Targeting. And sequences. And the cycle repeats itself. Here's what we learned after running outbound for 120+ companies: Your best-performing campaigns are hiding in your current data. You're just not listening to it. At ColdIQ, we treat every reply as intelligence. Prospects' feedback should be leveraged into better campaigns: 1. Tag Every Single Reply We use three categories in Instantly.ai: → Positive (interested, asking questions, booking calls) → Negative (unsubscribes, "not interested," objections) → Neutral (out of office, wrong person, timing issues) But we go deeper. For positive replies, we track: → Which email in the sequence hooked them → Which subject line did they respond to → Which value proposition resonated → Which persona/role they hold For negative replies, we track: → Budget concerns by role → Common objections by industry → And timing pushbacks by company size 2. Analyze Patterns Weekly Every Friday, we pull campaign data from Instantly and Clay. We look for: → Which industries respond best to specific messaging → Which angles get the most positive replies → Which CTAs drive the most meetings Example from last month: CTOs at Series A companies responded 40% better to efficiency messaging than to ROI messaging. So, we built a separate sequence just for that segment. 3. Build Iteration Workflows Based on weekly data, we create new email variations using Claude. But we don't rewrite entire campaigns. We test micro-improvements: → New subject lines for low open rates → Different pain points for cold segments → Alternative CTAs for warm prospects We use Instantly's A/B testing to run these variations against control groups. 4. Create Campaign Evolution Rules When a campaign hits certain thresholds, we automatically evolve it: → If positive reply rate drops below 2% after 500 sends, we test new angles → If objections cluster around budget, we add ROI-focused follow-ups → If timing pushbacks exceed 30%, we build nurture sequences 5. Feed Insights Back Into New Campaigns Every insight gets documented in our Clay database. When we build campaigns for new clients, we start with proven patterns: → Subject lines that work by industry → Pain points that resonate by role → CTAs that convert by company size We're not starting from scratch each time, but building on what already works. The result? Average positive reply rates improve 30-40% between month 1 and month 3. Feedback should guide your strategy. Treat outbound like a conversation where you actually listen and optimize accordingly. Questions? 👇

In 2023, 70% of SAP customers were considering RISE. By mid-2024, that number dropped into the low 40s. The shift raises a big question: what made so many rethink the move? I’ve supported RISE customers around the world — from North America to Europe to APAC. And the patterns I’m seeing? They’re consistent, and a bit unsettling. Here’s what’s driving the hesitation: 1. Service Level Disappointment - 99.7% uptime sounds fine until it hits your critical workflows. 2. Hidden Complexity - What looked like a bundled solution often turns into 100+ pages of service exclusions. 3. Slow Execution - Simple tickets take weeks. Why? Lack of automation and fragmented delivery teams. 4. The Premium Paywall - Want the service you thought you were buying? There’s a premium tier for that. What started as a CFO-friendly commercial model has hit resistance from Ops teams who are left holding the bag. RISE isn’t failing. But the experience gap is real. And for many customers, that’s been enough to hit pause...or backpedal entirely. If you’ve evaluated RISE or lived through the shift, what was your biggest surprise? I’d love to hear it in the comments.