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A 12% reply rate to a cold distributor list.Deliverability, engineered first.

Cold outbound email to a built list of hydraulics distributors and OEM buyers, run over 8 weeks as one part of the full Northern Hydraulics engagement. Deliverability came first: SPF, DKIM, and DMARC set up, sending domains warmed, then a tight 5-touch sequence to a researched list. The list returned a 12% reply rate.

Client
Northern Hydraulics
Scale
~8,500 SKUs
Services
Outbound Email
Engagement
2024 · 8 weeks

  • 12%

    Reply rate from cold outbound to the built list

  • 5

    Touches per sequence, plain text, one ask each

  • 3/3

    SPF, DKIM, DMARC aligned before the first cold send

  • 8 weeks

    From zero deliverability to a sequence returning replies

The situation

Where they started.

Northern Hydraulics sells JIC and NPT fittings, adapters, and assemblies to engineers and MRO buyers. The buying side is concentrated: a known set of distributors and OEM accounts, most of whom already buy hydraulic fittings from someone. Reaching them by email is easy to attempt and easy to get wrong.

Their prior attempts at cold email had gone straight to spam. No SPF or DKIM alignment, no DMARC policy, a cold primary domain sending hundreds a day. We started this cut with deliverability at zero and a target of a 12% reply rate from a built list, measured over an 8-week window. The qualified-lead growth from the wider program is reported on the anchor study, not here.

The constraint

What made it hard.

Cold B2B email to industrial buyers fails on two axes at once. It lands in spam, or it lands in the inbox and reads like every other vendor blast. Fixing deliverability is plumbing work with no shortcut. Domains warm on their own clock, and reputation is unforgiving once burned. We had 8 weeks and couldn’t torch the sending domains on volume.

What we ran

The work, phase by phase. What shipped, and when.

  1. Weeks 1–2

    Authentication and sender setup

    Stood up SPF, DKIM, and DMARC on separate sending domains kept off the primary corporate domain. Set DMARC to monitor first, then enforce, so a misconfiguration could not silently tank delivery.

  2. Weeks 2–4

    Warm the domains

    Ramped send volume slowly across warmed inboxes, seeding real replies and engagement before any cold send went out. Held daily volume per inbox low until placement tests landed in the inbox, not spam.

  3. Weeks 3–5

    Build and research the list

    Built a list of distributors and OEM buyers, verified every address, and removed catch-all and risky domains. Researched each account so the first line referenced the buyer’s real product lines, not a mail-merge token.

  4. Weeks 5–8

    Run the 5-touch sequence

    Shipped a 5-email sequence: a specific opener, two short follow-ups, a value touch with a catalog reference, and a clean break-up. Plain text, one ask, no images or tracking pixels that trip filters.

This is what a Outbound Email engagement at this scale looks like in practice.

Why it worked

The mechanism. What actually moved the number.

Reply rate on cold email is mostly a deliverability problem wearing a copywriting costume. If the message never reaches the inbox, the best copy in the world replies to no one. Getting SPF, DKIM, and DMARC aligned, then warming the domains slowly, meant the sequence landed in front of buyers instead of dying in a spam folder.

The second half was relevance. A researched list and a first line that named the buyer’s own product lines turned a cold send into something that read like it was meant for one person. Industrial buyers reply when an email proves the sender knows what they stock. Five touches gave the message enough chances to catch someone at the right moment without becoming noise.

What happened

The results. As measured, dips included.

Over the 8-week window the sequence returned a 12% reply rate from cold outbound to the built distributor and OEM list. The first two weeks produced almost nothing, by design. Nobody cold-emails during domain warmup. Replies started landing in week 5 once the sequence went live on domains that were already trusted.

Not every reply was a yes. The 12% includes referrals, not-now responses, and unsubscribes handled cleanly to protect sender reputation for the next cycle. The point of this cut was a list that reaches the inbox and earns answers. Whether those conversations became qualified leads is counted once, on the anchor study, so the credit isn’t double-claimed.

The number that mattered

12%

Reply rate, cold outbound to a built distributor list

8-week run · engineered sender reputation

First cold campaign we have run that didn’t end up in spam. The replies actually came from buyers who stock what we sell.
VP of Sales, Northern HydraulicsIndustrial hydraulics distributor · ~8,500 SKUs

Measurement notes

How these numbers were measured.

A metric without a source is an assertion. Every number on this page is listed below with how it was counted.

12% reply rate
Replies divided by unique recipients delivered, tracked in the outbound sending platform over the 8-week run. Bounces and undeliverables excluded from the denominator; auto-replies and out-of-office excluded from the numerator.
Deliverability / inbox placement
SPF, DKIM, and DMARC alignment verified per domain; inbox-versus-spam placement confirmed with seed-list tests before and during the warmup ramp.

Attribution. Published with the client’s sign-off. Metrics are as measured in the sources listed above.

Part of a bigger engagement

The rest of the Northern Hydraulics engagement.

  • Full engagement

    Industrial hydraulics distributor~8,500 SKUs

    Named · with consent

    +43.5%

    Qualified leads a month, across the full engagement

    2022 – 2025 · client CRM

    1,840 to 2,640 qualified leads a month. The full-stack rebuild behind it.

    Northern Hydraulics is an industrial hydraulics distributor — ~8,500 SKUs of JIC/NPT fittings, adapters, and assemblies sold to engineers and MRO buyers. Over a three-year relationship (2022–2025) we ran the whole growth function: brand and design, a Magento 1 to headless replatform, AI-search and technical SEO, an AI-assisted catalog rewrite, pillar content, paid ads, and cold outbound. Qualified leads went from 1,840 to 2,640 a month, up 43.5%.

    Full Growth OwnershipWebsite DevelopmentAI Search & GEOEditorial AuthorityOutbound Email2022 – 2025

  • Industrial hydraulics distributor~8,500 SKUs

    Named · with consent

    8,500

    SKUs replatformed off Magento 1

    6 months · schema-complete from day one

    8,500 SKUs off Magento 1, onto a storefront AI can read.

    Northern Hydraulics ran an 8,500-SKU catalog on Magento 1, which hit end-of-life with no security patches and product markup AI search engines couldn't parse. Over 6 months we replatformed the whole catalog to a headless Next.js storefront on Shopify Hydrogen, schema-complete from day one, and carried the JIC/NPT spec quote flow across intact. Mobile category-browse INP dropped from 600ms+ to under 200ms. This was the web-dev cut of the full engagement; the qualified-lead growth is reported on the anchor study.

    Website DevelopmentAI Search & GEO2022

  • Industrial hydraulics distributor~8,500 SKUs

    Named · with consent

    ×8.5

    AI-Overview citations, top 50 commercial queries

    4 → 34 · 6-month engagement

    4 to 34 AI-Overview citations on the top 50 commercial queries.

    Northern Hydraulics is an industrial hydraulics distributor with ~8,500 SKUs. On the top 50 commercial queries, AI Overviews were citing its manufacturers, not its own pages, so it sat in AI answers exactly 4 times. Six months of product-schema and answer-shaped page work took that to 34 AIO citations (×8.5), making the distributor the citable source instead of its suppliers.

    AI Search & GEOCatalog AI2023

  • Industrial hydraulics distributor~8,500 SKUs

    Named · with consent

    ×2

    Organic sessions from informational & pillar pages

    6-month pillar-and-cluster build

    Pillar content that out-writes the manufacturers. Informational sessions, doubled.

    Editorial cut of the Northern Hydraulics engagement (2022–2025). Over six months, senior subject-matter pillar-and-cluster content on the core fitting categories roughly doubled organic sessions from informational and pillar pages, and pushed Northern's pillars to the top of AI-Overview answers for six category terms the manufacturers used to own. This was one discipline inside the full engagement; the qualified-lead growth is reported on the anchor study.

    Editorial Authority2023 – 2024

More case studies

Other distributors. Same standard of proof.

  • Industrial hydraulics distributor~8,500 SKUs

    Anonymized · NDA

    +43.5%

    Qualified leads per month, on the August baseline

    Aug 2024 – Jan 2025 · client CRM

    1,840 to 2,640 qualified leads a month. No new ad spend.

    An ~8,500-SKU hydraulics distributor was stuck at 1,840 qualified inbounds a month. AI Overviews were citing its manufacturers, not its own category pages. Six months of catalog and AI-search work later, January closed at 2,640. That’s +43.5% over the August baseline, and we didn’t add a dollar of ad spend.

    Catalog AIAI Search & GEOAug 2024 – Jan 2025

  • Industrial automation distributor~12K SKUs

    Anonymized · NDA

    ×8.5

    AI Overview citation count, top 50 commercial queries

    4 → 34 citations · 6-month engagement

    4 to 34 AI Overview citations in six months. One Standard retainer.

    A mid-market automation distributor with ~12K SKUs was ranking well and still bleeding organic share, because AI Overviews were eating the click-through on informational queries. Six months on the Standard editorial retainer took its AI Overview citations on the top 50 commercial queries from 4 to 34. Organic leads from informational pages doubled.

    Editorial Authority2025

  • Industrial hydraulics distributor~8,500 SKUs

    Anonymized · NDA

    8,500

    SKUs replatformed in six months

    Magento 1 → Next.js + Shopify Hydrogen

    8,500 SKUs off Magento 1, onto a storefront AI engines can read.

    The same hydraulics distributor’s commerce stack was at end-of-life. Magento 1, schema AI Overviews couldn’t read, and 600ms-plus INP that was killing add-to-cart on mobile category browsing. A six-month replatform moved all 8,500 SKUs onto a headless Next.js + Shopify Hydrogen storefront, with a complete schema graph live on the first deploy.

    Website DevelopmentAI Search & GEO2024

Your catalog, same standard

Want a number like these for your catalog?

Held to the same standard as the studies above: we measure where you stand today — organic and AI-search visibility across your top categories — and show you the baseline before we propose a thing.

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