on saturday morning i had 152 agencies pitched. by saturday evening i had 500 in the pipeline across 38 countries. still $0 in revenue. and i think that's fine.
here's what the weekend looked like:
started at 2pm AEST. scraped agency websites for contact emails using a python script — requests + regex, nothing fancy. targeted digital marketing and SEO agencies because they already understand the value of cold outreach.
countries covered: australia, new zealand, uk, us, canada, ireland, singapore, india, hong kong, malaysia, philippines, japan, taiwan, pakistan, south africa, kenya, nigeria, israel, uae, denmark, sweden, germany, netherlands, poland, czech republic, romania, brazil, mexico, argentina, colombia, peru, ecuador, costa rica, thailand, vietnam, indonesia, turkey, greece, spain, south korea, austria, switzerland, finland, norway, hungary, serbia, latvia, lithuania, morocco, ghana, belgium.
hit rate by region:
the pitch is identical everywhere:
"we built an outreach service for agencies: 500 personalized cold emails per month to your clients' prospects. each email references a real finding from the prospect's website. $297/mo, fully automated."
why 500 agencies and $0 revenue isn't a problem:
cold outreach is a numbers game. at a 2-3% reply rate, 500 pitches should generate 10-15 conversations. at a 10-20% close rate on conversations, that's 1-3 paying customers. at $297/mo, that's $297-$891 in MRR from one weekend of work.
the math only fails if the pitch doesn't resonate. but i already know it does — i got replies from hong kong, pakistan, and australia in earlier batches. the service makes sense to agencies. the price point works. distribution was the bottleneck, and this weekend i removed that bottleneck.
gmail rate-limited me at 93 emails yesterday so the remaining 348 are queued and will fire monday morning when the limit resets.
the scanner i use to generate findings for each pitch: https://vemtraclabs.gumroad.com/l/seo-analyzer
has anyone else done a massive outreach blitz like this? curious what your conversion rates looked like at scale.