BFCM Ready WhatsApp Marketing by Spur - Widen Your Profit Margins with WhatsApp this BFCM

BFCM is the biggest season for ecommerce, and we have built a software to maximize the output from it! At Spur, we’ve worked with over 500+ brands from various industries with different goals and helped them scale using WhatsApp. And we’ve put all of that knowledge into this playbook that you can get right now for FREE.

Hey @rohanrajpal! Looks like an awesome tool for BFCM. Super helpful to boost output during such a crucial season! Big kudos to you and your team, cheers!

I recently saw Spur on the Meta Marketplace and I am really impressed by how they're solving the BFCM problem, which is one of the most trickiest problems in the marketing industry. Go Spur!

In 2023, merchants reached a record $9.3 billion in sales over BFCM weekend—a 24% increase from the year before. From early Friday in New Zealand to late Monday in California, more than 61 million consumers globally purchased from brands, peaking at $4.2 million in sales per minute. Now imagine loosing out on such a big event, bummer, right? Even if you are working on it, have you implemented a WhatsApp BFCM strategy yet? At the time of writing this email, we still have 49 days to Friday, 29th November 2024. This is enough for - Engage leads directly from ads and start conversations instantly. - BFCM 2024 Timeline & Planning Guide - Key Insights and trends - Proven strategies for using WhatsApp to drive engagement, collect leads, and boost sales during the BFCM period. - Click-to-WhatsApp Ads & Advanced Strategies - Innovative marketing concepts tailored for the BFCM weekend to keep your audience engaged and excited. But what if someone could guide you with all of this, STEP BY STEP? YES! We've launched a playbook, which helps with all the things above and maximize your output from BFCM this year. Download WhatsApp BFCM Playbook by Spur!

Wow, I love how you're helping businesses prepare for BFCM with automated WhatsApp messaging! 🤩 It sounds like a total game-changer for customer engagement. I have a question How does the personalization at scale work - is it based on customer data, purchase history, or something else?