❓ Problem
B2B software companies will do literally anything for leads. They pay agencies, buy email lists, host events, and of course throw ungodly amounts of money at Meta and Google, where every competitor is bidding on the same keywords for the attention of the same exhausted buyers. Meanwhile the average cold email reply rate has slumped to around 5.1% and falling, because every inbox on earth is now an AI-generated slurry of "quick question" follow-ups.
Here is the uncomfortable truth the performance marketers don't want to hear: the physical channel quietly outperforms all of it. Direct mail response rates run around 4.4%, roughly 36x higher than email, and 84% of marketers say direct mail delivers the highest ROI of any channel they use. Sam Blond, co-founder of Monaco, broke down the economics on X: send a $100 gift with a genuinely handwritten note to your top 100 prospects and the ROI embarrasses anything you'll get from a $10k Meta budget. A $10k campaign that opens conversations with 100 named, high-value accounts is not a marketing expense, it's a cheat code.
So why does nobody do it? Because it's an operational nightmare. Someone has to pick 100 gifts that don't scream "vendor swag", find shipping addresses for people who work hybrid and guard their home address like a state secret, write 100 notes that don't read like a mail merge, package everything, ship it, track delivery, and then have a rep follow up on the exact day the box lands. That's a week of work across three teams for one campaign. So marketers take the lazy route and hand the money to Zuck. The ROI is sitting there. The operations are the moat nobody has built. Here's the idea.
✅ Solution
An AI-powered gifting platform that operationalises large-scale gifting campaigns end to end, so a marketer can launch a 500-person gifting campaign with the same effort as a 500-person email sequence.
- It picks the targets for you. The platform plugs into your CRM, scores accounts against your ICP and pipeline value, and surfaces the 100, 500, or 1,000 prospects where a $100 gift has the highest expected return. No more guessing which accounts deserve the white-glove treatment.
- It solves the hardest unglamorous problem: addresses. Shipping-address enrichment via waterfall data providers, with a graceful fallback where the recipient confirms their preferred delivery address through a branded claim link. This single feature is half the reason these campaigns die today.
- It personalises like a human who did their homework. The AI pulls each prospect's LinkedIn activity, interests, recent wins and company news, suggests the gift most likely to land (the golf nut gets something very different from the espresso obsessive), and drafts a genuinely personal note, fulfilled as real pen-on-paper handwriting through robotic handwriting services.
- It runs the logistics and closes the loop. Gift curation, sourcing, packaging and delivery are handled by the platform's fulfilment network. Delivery confirmation fires a task to the account owner in the CRM the moment the box lands, the single highest-converting follow-up moment in outbound. Every send, claim and reply is attributed back to pipeline so the CMO can finally see gifting as a channel with a CAC, not a vibe.
The wedge is the campaign workflow. The platform underneath, prospect scoring plus enrichment plus personalised physical fulfilment plus CRM attribution, expands into the entire offline arm of B2B go-to-market.
📊 Key Numbers
Market size
ARR potential
- Bottom-up: 500 customers on a $1,500/mo platform fee is $9M in subscription ARR. Layer on a 15-20% take of gift-and-fulfilment spend, and a typical customer running $40k/yr through the platform adds another $6k-8k each, roughly $3.5M more. That's a ~$12.5M ARR business at just 500 logos.
- Scale to 2,000 customers with larger enterprise accounts running six-figure gifting programmes and you're at $40-60M ARR, in a category where the leader raised a $100M Series C from SoftBank on the same thesis with worse technology.
- The kicker: gifting spend is budget that already exists. You're not asking marketers to find new money, you're rerouting a slice of the Meta/Google budget into a channel with measurably better response rates.