# ProductEVO **From 9 qualified calls in a quarter to $1.2M pipeline in 9 months.** *AGENCY & SERVICES · MANUFACTURING* ProductEVO hit a growth plateau after years of success. They'd burned through a $25K ZoomInfo subscription and gotten nothing to show. Nine months later, they'd closed 8 deals, attributed $90K in profit, and filled their pipeline to $1.2M. ## At a glance - **Industry:** Manufacturing & Sourcing - **Engagement:** 9 months, ongoing - **Pilot → Scale:** Pilot Feb 2024, now Scale tier ## Headline numbers - **9 months** — engagement - **$90K** — profit attributed - **142** — qualified meetings - **8** — deals closed ## Client quote > We've closed 8 deals...we've attributed some of that so about $90K in profits so far...We have 27 deals in the pipeline. — Josh Taylor, Founder, ProductEVO ## Before BuzzLead **Growth plateau. Previous agency delivered nothing.** ProductEVO had years of growth from referrals and inbound, but the well was drying up. They hired a full-time SDR and subscribed to ZoomInfo — $25K down, nine qualified calls over three months. They hired an outbound agency next; the agency delivered unqualified leads and burned the runway. By the time ProductEVO came to us, they were evaluating shutting down outbound entirely. - 9 qualified calls in 3 months - $25K wasted on ZoomInfo - Previous agency failure ## What we built for ProductEVO. ### 01 — SIGNAL DISCOVERY **Mapped supply chain pain signals** We audited ProductEVO's TAM — manufacturing and sourcing buyers with Asia-based supply chains. Identified three core signals: tariff news mentions, recent hires in supply chain roles, and companies publicly discussing supply diversification. - 3 priority signals identified - 2,800 target accounts mapped - Signal scoring system built in Clay ### 02 — DATA & ENRICHMENT **Built lists from 20+ sources** Pulled prospects from Ocean.io, Store Leads, Clay waterfall, Crunchbase, and 16 other sources. Enriched every contact with phone numbers, verified emails, and tech stack data. Filtered out companies already served by BuzzLead clients to protect partnerships. - 20+ data sources integrated - 2,800 contacts enriched - 85%+ email verification rate ### 03 — MESSAGING & SEQUENCING **"Why You, Why Now" framework** Our copywriter built sequences addressing the exact supply chain pain each prospect was experiencing. Every email referenced a specific signal — a news mention, a hiring signal, a tech change. No generic outreach. - 7 sequence variants A/B tested - Signal-matched subject lines - Copy reviewed by Josh before launch ### 04 — LAUNCH & OPTIMIZE **70 mailboxes, 35 domains, zero risk** We provisioned 70 dedicated mailboxes across 35 secondary subdomains. Warmed for 14 days in our EmailBison pool. Launched at 50 sends per day per mailbox. Automated positive replies directly to Slack with phone enrichment for same-hour follow-up. - 70 mailboxes provisioned - 35 secondary subdomains - Slack-routed hot replies ## Real emails ### SENT *Subject: Re: [Company]'s tariff exposure* Josh — saw [Company] was named in the [Industry Report] last week around Asia supply exposure. Most of our manufacturing clients in your category are rebuilding secondary supplier networks right now... *Signal: supply chain news mention · Day 1* ### REPLY *Subject: Re: Re: [Company]'s tariff exposure* Thanks for the context — this is actually something we've been discussing internally. Can we set up a call next week? Tuesday or Wednesday works. *Reply received · Day 3* ### BOOKED *Subject: Calendar confirmation · [Prospect name]* Meeting confirmed Tuesday 2pm ET. Prospect context: SVP Operations at Series B manufacturer, 400-employee company, actively rebuilding supplier base. Deal size est: $8K-15K/mo retainer. *Routed to Close CRM · Day 3* ## After BuzzLead **$90K in profit. $1.2M pipeline. 8 closed deals.** Nine months into the engagement, ProductEVO has closed 8 deals (all $5K+ monthly retainers), attributed $90K in profit directly to BuzzLead-sourced leads, and has 27 active opportunities totaling $1.2M in pipeline value. Their team is now evaluating expanding to a second ICP and adding LinkedIn outreach as a secondary channel. | Metric | Before | After | |---|---|---| | Qualified calls | 9 in Q1 | 142 in 9 months | | Deals closed | 0 | 8 | | Pipeline value | $0 | $1.2M | | Monthly CAC | Burning $25K/mo | ROI positive by month 3 | ## Timeline - **MONTH 1 — Infrastructure:** Domains warmed. First copy approved. Zero sends yet. - **MONTH 2 — First campaign live:** 14 qualified replies. 4 meetings booked. Deal negotiations begin. - **MONTH 3 — Optimization:** 31 meetings. First deal closed ($8K/mo). Sending volume expanded. - **MONTH 6 — Scaling:** 5 deals closed. $62K profit attributed. Pipeline hit $800K. - **MONTH 9 — Expansion:** 8 deals closed. $90K profit. $1.2M pipeline. Second ICP in eval. ## Technical details ### Infrastructure setup 70 dedicated mailboxes across 35 secondary subdomains. Mixed Microsoft 365 + Google Workspace to distribute risk. 14-day warm-up in our EmailBison pool before first production send. SPF, DKIM, DMARC with p=quarantine. Custom tracking domains. Separate reply-handling inbox routed to Slack. ### Data sources used Ocean.io for firmographic signals · Clay waterfall for contact enrichment · Crunchbase for funding triggers · Store Leads for eCommerce intelligence · BuiltWith for tech stack · LinkedIn Sales Navigator for hiring signals · and 14 other specialized sources. All unified in Clay with custom scoring. ### Automation flows n8n for reply routing and lifecycle events. Positive replies trigger Slack alerts with phone enrichment fired within 60s. Close CRM auto-populates with full context (signal matched, sequence version, reply sentiment). Calendar booking triggers CRM opportunity creation. Bounced emails auto-quarantine. ### Copy approach "Why You, Why Now" framework: every opener anchors to a specific, recent, company-level signal. Spintax on every sentence for variation. 7 full sequence variants A/B tested across the first 60 days. Josh personally reviewed and approved every variant before launch. No templates, no AI-generic copy. --- Source: https://buzzlead.io/case-studies/productevo