Locusive’s Post

Recently we launched a free product that helps detect fake emails called Email Checkpoint. We've seen some neat applications of the product, though my favorite thus far has been from an AI SaaS product with free trials. Upon sign-up, Email Checkpoint highlights numerous risk attributes for email; sign-ups with attributes such as temporary domains and invalid MX records get routed only to paid options. It was a simple workflow developed in 15 mins that will help the app: - Better understand their account base - Reduce the cost associated with free trials - Potentially convert customers who keep making fake accounts All from a free tool. If you want to catch >5x the number of accounts, you can also check out our full platform below.

Identifying web site visitors has been around for a while. RB2B has made a big splash with tech... Then recently, Apollo.io announced the same capability. And most recently, Instantly.ai. So here is why the Instantly launch could be a really a huge deal... 1) Its integrated directly into the outbound platform...no APIs needed 2) Tons of Instantly users also use Clay, me included. Why not spice up your copy or add some lead enrichment to your newly discovered visitor. 3) Slack notifications and LinkedIn data is part of the package 4) This opens the door for more personalized video, send your new lead a personalized video with Sendspark or Reachly 5) TIming matters...this is a signal of interest, actionable signals drive conversions. I don't know about you but I'm pretty excited....

Reason #2 to build on Botpress instead of on an LLM? You’re never alone. We offer best-in-class customer support, but there’s nothing quite like having direct access to tens of thousands of other people building bots on the same platform as you. Our community is everywhere: our partners, our builders, our Botbassadors. We stream daily on Discord. There's always people nearby. It's not just another SaaS tool that you'll bookmark and forget about. Our community is active and always pushing the boundaries of bot building - they're what make Botpress the best place to build bots.

We just got a 19.64% uplift in MQLs on my client's website. The most important factor? We didn't approach the project as a one-and-done event. We approached it with the intention of iterating. In our first attempt, the results were flat. There was a tiny uplift, but it wasn't statistically significant. It was a non-result. We learned from the first test, made some changes, and tested it again. This time we got the results we wanted. The lesson? If you want to improve your conversion rates, you have to iterate and experiment. I've been hired by many companies to "optimize" a landing page as a one-and-done project. Sometimes we got great results. Sometimes we got bad results. Often we got flat results. This is why I've pivoted my business to focus on iteration and learning, rather than updating a bunch of pages at once and praying for good results. If you're a B2B SaaS growth team running A/B tests on your website or landing pages... ...and you could use help figuring out how to run better experiments that are more likely to win, we should chat.

This is my first deep experiment running cold email. Tech stack I'm using : - Apollo.io to get leads - ZeroBounce to verify the email - Instantly.ai to warm email and send email campaign

What's new with Groundhogg 3.5.1? Take a look below 👇 💔 Better handling of soft bounces 🤩 Track changes to Opt-in status in funnels! https://lnkd.in/g3hgPduV

𝗔𝗣𝗜𝘀 𝘃/𝘀 𝗪𝗲𝗯𝗵𝗼𝗼𝗸𝘀 Most people get confused with APIs and webhooks because they sound technical. Here's a breakdown: API - making a manual request when you need something. eg: Adding leads from Clay to your Smartlead/Instantly.ai campaign Webhooks : getting notified when a specific event happens in realtime. eg: a slack notification as soon as you generate a positive lead. Use APIs when you want to manually push/get data. Use Webhooks when you want to get notified as soon as a specific event has occured

I just recently hosted a webinar where I talked about HubSpot chatflows and how I create them to provide a better chat experience on my website and brands I've worked with. During the presentation, I shared 4 common mistakes that brands make that make potential buyers not want to engage! Afterwards, I talk about building the top 4 common chatflows on HubSpot including live chat, lead qualifying bots, meeting booker bots, and a customer support ticket bot. I even highlighted the new Customer Agent AI Bot that uses your actual content to serve answers for your customers right from your platform using your actual words and training resources! Take a quick watch, lots of little gems and inspiration you can use to create better chat engagements on your website and within your SaaS platform. https://lnkd.in/edR7eT9x

Have you noticed Fake Email Addresses Issue as well on Opt-In Pages? Recently, we noticed in a number of accounts, fake email addresses popping up in our funnel opt in pages. It was a headache for our team and it was definitely skewing our results. So we took following steps to ensure this never happens again! Klaviyo was under attack recently with some AI bots as well. So these steps can save your funnels too! How you should Tackle fake email bots: - Integrated ZeroBounce software to get 99% validation of addresses in real-time before they entered my system. - Included a CAPTCHA field to block bots and reduce automated signups. - Established a Set of segments that will automatically identify & filter out your bots through a separate funnel for future. This can save you a lot of time in matching numbers when they don’t add up. If you are facing the same problem, all you have to do is reply in this tweet. My team will reach out to you and resolve this issue.

Wondering how many of your users click the cancel button but don't cancel (yet). With Raaft you get notified every single time. Here's how it works👇 1️⃣Implement Raaft in your cancellation flow 2️⃣Set up Slack Notifications (via Zapier) 3️⃣Get Slack message if users try to cancel 4️⃣Raaft dashboard with all ‘at risk’ customers You can react accordingly. Our customers save on average 20% of churn customers. Do you track at-risk customers?