ColdIQ’s Post

This workflow booked 10+ meetings for every 1000 non-responding CRM or newsletter leads included. Doing it like this, is advantageous because you: 1️⃣ Target warmer leads thanks to your marketing efforts. Extra points if you personalize your outreach. 2️⃣ Get the most out of multichannel bandwidth, since you're prioritizing the most promising leads. 3️⃣ Maximize deliverability since newsletter email open rates can be much lower versus sending on Instantly.ai or lemlist. 4️⃣ Clean and update CRM data in the process. This is how the workflow is split up: Cleaning contact info 🛁 - Formulate basic merge fields (e.g. Company and first names). - Validate emails with LeadMagic. - Use LinkedIn to find updated work emails for invalids with Prospeo, LeadMagic, Datagma, Icypeas, Findymail, and Hunter.io. Scoring leads 💯 - Qualify based on basic prospect info (job title + company size). - Find additional relevant data points (hiring, ads, or funding data). - “Score row in Clay" based on data + validation formula outputs. Personalizing messaging 👫 Personalize first line based on their last engagement date. (Optional) Further personalize relevancy in first line using AI. (Optional) Personalize the value prop based on significant lead score triggers. Campaign routing 🛣 - Route into Phone+LI+Email, Email+LI, and Email only sequences based on scores, enriching for phones with FullEnrich. - Lookup invalid emails in CRM (where we have a new email) for previous deals at the company. - Enrol those leads into new in role "previous champion" campaign. ----------------------------------------------------------- Here’s the general messaging framework I use here: {{first_name}}- Since you were having a look at (the problem you solve) {{Time since last engagement}}, I was wondering how it's been going with (the wider initiative) recently. {{Value Proposition}} Opposed to checking out the latest? No expectations. (Shoutout to Gong for inspiration on the CTA!) Hope this is useful. Like + comment on this post and I can send over the Clay table, full-res schematic, and Notion page containing the formula personalization prompts we used for this 🚀 .