Tech trainingUS

How Big Data Trunk ran three outbound tracks at once

Big Data Trunk runs live AI, data and cloud training. Growth came from referrals, inbound and relationships. Each of its markets needed a different message, so we built separate tracks.

75+positive replies in 90 days
66from partnership campaigns
47.6%of replies positive on the best campaign
3parallel tracks
What they sell
Live, instructor-led training in AI, data engineering, cloud and GenAI, for companies and universities.
Market
Startups, enterprises and universities in the US
Timeframe
90 days
Channels
Cold email, LinkedIn outreach, Webinars
Who we reached
Founders, CTOs and L&D leaders at startups and enterprises, and deans and programme heads at universities, plus training companies as partners
Tools in this build
Sales NavigatorSales NavigatorApolloApolloIndeedIndeedClayClaySendrSendrMillionVerifierMillionVerifierClaudeClaudeSmartleadSmartleadLinkedInLinkedInGoogle WorkspaceGoogle WorkspaceSlackSlack
The starting point

Where they started

What was in the way before the first campaign went out.

The goal

A separate, repeatable track for each market, and partners who could resell the catalogue.

01

Referral-led growth

Referrals, inbound and relationships worked, but didn't scale and weren't predictable.

02

Three different buyers

Startups, enterprises and universities buy training for different reasons, through different people.

03

Cheaper alternatives

A market full of low-cost self-paced platforms.

The ideal customer

Who we went after

Agreed with the team before the first campaign. Every list, message and ad was built for these people and nobody else.

NotionIdeal customer profile: Big Data Trunk
TracksStartups, 50 to 200 peopleEnterprises, 200+UniversitiesTraining companies as partners
Who we reachedFounders and CTOsHeads of engineeringL&D leadersDeans and programme heads
WhereUnited StatesCanada
The workflow

The system we built

From finding the accounts to handing over the reply. Each card is one step, with the tools that ran it.

Outbound engine for Big Data Trunk4 stages, 12 steps
01Find the accounts
Sales NavigatorApolloTrack listsStartups, enterprises, universities, partners
IndeedTraining-need signalsL&D hiring, AI upskilling, GenAI readiness
ClayUniversity listsBy state and programme
02Enrich and score
ClaySendrEnrichApollo, Sendr and Clay
MillionVerifierVerifySafe tier only
ClaudePick the first offerWorkshop, bootcamp or partnership
03Reach them
SmartleadCold emailOne sequence per track75 positive
LinkedInLinkedInConnect, value, invite
Google WorkspaceWebinars and invitesCalendar invites in beta
04Hand over
Zoho CRMTwo pipelines, eight stages
SlackReply SLAEvery reply answered within 24 hours
BDT's teamDiscovery calls and proposals
A step we ranWhat that step producedHover a tool icon to see its name
The copy

What we sent

The actual copy, from the campaigns. Merge fields are shown as grey tags; a custom opener was written for each person.

SmartleadEmail
SmartleadEmails from the campaigns
Universities, day 0From Big Data Trunk's team
SubjectHey First name, built this after what we did for Stanford

We've helped Stanford and other top schools bring AI, cloud and analytics into their programmes, through bootcamps, live virtual sessions and certificate tracks.

After reviewing Company's current offerings, we built a proposal to expand your catalogue. No pressure. Want us to send it?

Partners, day 0From Big Data Trunk's team
SubjectFirst name, your thoughts on a partnership

Noticed Company is strong in corporate training. At Big Data Trunk, we've worked with clients like Salesforce, Roku and Stanford.

We're exploring revenue-share partnerships where we cross-offer courses (500+ AI, cloud and data bootcamps), white-label eLearning catalogues and share access to enterprise clients.

Worth a quick chat?

Partners, variantFrom Big Data Trunk's team
SubjectYou are our competitor, let's team up

A partnership variant that named the overlap head-on.

Replies

What came back

Replies are copied from the inbox and trimmed. Names and companies are removed; roles and sectors are kept.

SmartleadCampaign results
CampaignVolumeRepliesPositive
AI write-up partnership2,050 contacted8239
Old list, relaunched2,512 contacted3620
Universities8,303 contacted5839
Partnerships, non-IT1,587 contacted557
L&D manager, EV manufacturer, GermanyMeeting

“My colleague is not with the company anymore. We can connect in a short call. I am very interested in what you can offer.”

Results

What came out of it

The result

75+ positive replies in 90 days across universities and partner campaigns, without relying on referrals or inbound.

BeforeReferrals, inbound and relationship selling. Good, but not predictable.
After
  • 75+ positive replies in 90 days
  • 66 from partnership campaigns
  • 47.6% of replies positive on the best campaign
  • 3 parallel tracks
Where the 75 came from75 in total
  • Partnership campaigns6688%
  • Universities912%
Want a plan like this for your market?The signals we'd track, the campaigns we'd run and a week-by-week plan. Free, built by hand.Get my GTM plan
Timeline

How it unfolded

From the first call to where the account stands now.

  1. Jun 2025
    University track

    The first campaign to universities.

  2. Sep to Oct
    Partnership tracks

    IT and non-IT training companies as resellers.

  3. Nov
    Old list relaunched

    20 positive replies from a list that had gone quiet.

  4. Dec
    AI write-up campaign

    39 positive replies, nearly half of all replies.

  5. Jan 2026
    Startups and new university lists

    Plus a Zoho CRM with two pipelines and automatic tasks.

What the team said

In their words

From LinkedIn recommendations, unedited.

“Toshad and his team bring strong expertise in cold email and LinkedIn outreach. They work with consistency, professionalism, and a clear focus on delivering outcomes. Toshad is approachable, dependable, and committed to achieving results while maintaining smooth communication. He and his team make a reliable partner for scaling outbound growth efforts.”
Raju S.Raju S.CEO, Big Data TrunkLinkedIn recommendation
Takeaways

What we'd tell a team like theirs

  1. Three markets need three tracks, each with its own list, message and first offer.
  2. Lead with a small first step that is easy to say yes to.
  3. Old lists aren't dead. A new angle brought 20 positive replies from one.

More stories like this

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