Case studies

Work & results

What changed for B2B teams once RevOps and growth stopped pulling in different directions. The anchor case runs first, then the named client cases, whose figures are quoted from the client’s own case deck for the period that deck states.

Anchor case · Webfleet / Bridgestone
+130%
SQLs, 50 to 115
+268%
Opportunities, 25 to 92

Representative outcomes, as reported by the client engagement.

Personalisation only pays when the data beneath it is clean

Twelve months inside one Salesforce org. I rebuilt the data model first and tied the personalised journeys to it second, and every stage of the funnel widened.

Global mobility brand · Webfleet / Bridgestone Salesforce Salesforce Personalisation Web personalisation Funnel reporting 12 months
Client type

Global mobility, enterprise B2B

Webfleet, part of Bridgestone. One Salesforce org carrying the commercial motion, with personalised web journeys running on top of it.

The problem

Personalisation firing on records that disagreed

More campaigns kept going out and the funnel would not move. The journeys were reading from a data model where the same account could look like three different things.

What I built

The data model first, the journeys on top of it

Rebuilt the object model and the records beneath it, rewired the personalised web journeys to read from it, then rebuilt the reporting so the funnel could be watched stage by stage.

Illustrative view of the kind of setup described above. Not a client screenshot.

The two services behind this case: RevOps Systems for the data model underneath, and Salesforce Personalisation for the journeys on top of it.

The year, in four numbers

Same team, same product, same market. What changed underneath was the data, and once that settled every stage of the funnel widened at once.

+130%
SQLs · 50 → 115
+268%
Opps · 25 → 92
+171%
Closed-won · 14 → 38
+875%
Web personalisation wins · 64 → 624

More campaigns were never the fix. The records had to agree first.

Every stage, before and after BeforeAfter Growack
50 115 25 92 14 38 SQLs Opportunities Closed-won

Those are representative outcomes from this engagement, not a forecast for yours. Your starting data, your market and your sales motion decide what a rebuild is worth. I will give you my honest read on that before you commit to anything.

Get my read on your funnel

Even when there were some barriers within what we could do, Growack always did the best to find a workaround.

Marketing Director, LoRaWAN Company

Growack Media was resourceful in the different lead generation and growth hacking techniques that they have

Head of E-Commerce, EdCast (now Cornerstone)

From a startup perspective, Growack’s services were very beneficial to us. The new processes impact was clear winner.

Felix HCo-Founder, Clairify (now Volantis)

A marketplace with two sides to feed, and one number to move

EdCast Inc. is a B2B training courseware and solution business in the LXP category, running Leapest, a digital platform for sourcing corporate and IT training coursewares and in-class instructor services. The OKR was one line: grow the top-line revenue. Every figure below is quoted from the client case deck, with the period it was measured over.

EdCast Inc. · Leapest HubSpot Leadfeeder Mailchimp Unbounce Phantom Busters LinkedIn and Google May 2019 - Dec, 2019
The client

A two-sided training marketplace

Leapest was positioning itself as one stop solution for training needs, with content providers on one side and buyers on the other, both live since 2017. Growth had to come from sellers and content partners, corporate buyers, IT training providers, instructors and classroom training projects on the marketplace, all at once.

The problem

Acquisition and activation on both sides, or neither side moves

How do you grow the top-line from those services and grow the key customer base with it? Buyers had to be identified, qualified and activated into a first transaction. Instructors had to complete and publish profiles. Sellers had to keep supply ahead of the demand the buyers created.

What I built

A marketing system, then campaigns that ran on it

HubSpot as the marketing system and automation layer, Leadfeeder alongside it, Unbounce landing pages for offers and promotions, and an automated funnel with Mailchimp workflows. On top of that, paid acquisition on Google and social, activation and onboarding email campaigns, a content roadmap for lead generation, SEO and product category optimisations, and measurement and reporting.

Inbound acquisition
  • Offers created and targeted to the key ICPs, launched as MoFu offer campaigns with their own landing pages.
  • A/B tests set up for conversion, with the conversion workflows themselves running in Mailchimp and HubSpot.
  • Paid acquisition run as segmented, geo-targeted campaigns on LinkedIn and Google.
Outbound cadence
  • Research across email, Vidyard and LinkedIn before anyone was touched.
  • At least three contacts engaged per account, across more than one channel.
  • A twelve day sequence, day 1 to day 12, then the account goes back on the watch list for a different trigger rather than getting hammered.
Outcomes

Top-line revenue growth, May 2019 to December 2019

67.24%
Avg MoM growth, revenue by new buyers. The average of the seven month on month changes across the May to December 2019 window.
+25.56%
Quarter on quarter top-line revenue, Q1 to Q2 2019. Quarter one runs January to March, so this comparison starts before the May engagement window.
+3.19%
Quarter on quarter top-line revenue, Q2 to Q3 2019.
Quarterly top-line revenue, 2019
Q1 · €849,620.33 Q2 · €1,066,809.13 Q3 · €1,100,791.86

The deck’s own read on why: activation strategy plays a vital role in scaling the quarter on quarter growth, and the onboarding and activation campaigns contributed most to the conversion rate.

The year around those quarters. The same deck records full-year revenue of €4,251,767 for 2019 against €5,862,928 for 2018, a fall of 27.48% across the year, through the churn of the single most important buyer. The growth above is the May to December window inside that year, which is where this work ran. I publish both, because a rising quarter series without the year around it is not proof of anything.

Figures as recorded in the client’s own case deck for the stated periods. Quarter four 2019 is not published here.

The service behind this case: Growth Marketing, with HubSpot Enablement underneath it.

Certified and technology partners

  • customer.io Certified Partner
  • Leadinfo Partner
  • MoEngage Partner
  • ActiveCampaign Official Agency Partner
  • HubSpot Solutions Partner
  • CrawlQ Partner
  • Uncapped Partner
  • RevenueHero Partner
  • PhantomBuster Partner

Entering a new market with no database to sell into

Cogoport is a marketplace for cargo and freight booking management, a digital platform for integrated sea freight logistics and a one-stop shop for container transport. Cogoport Europe B.V. started operations in Europe in October 2018 and needed a customer base from a standing start. The stated OKR was a strong 50K MQL database for targeting and outreach. The window was four months.

Cogoport Europe B.V. Dux Soup Phantom Busters Findthatlead Leadfeeder Clearbit LinkedIn campaigns 4 months
The client

A freight marketplace, newly live in Europe

To accelerate the growth of the customer base and market share, they wanted to test growth strategies for the acquisition of customers, partners and service providers. Five audiences in one motion: partners, exporters, importers, shippers and intermediate service providers.

The problem

Three acquisition problems that did not share a playbook

Small and medium exporters and importers had to be identified, qualified and acquired to test the platform over an available port pair. The partner base had to grow in the Benelux market, including the Port of Rotterdam and other shipping governing bodies. And intermediate service providers, insurance and customs among them, had to be acquired steadily to support what the buyers needed.

What I built

A scraping funnel, then a segmented database campaigns could actually use

APIs to pull target groups from Twitter, LinkedIn and Facebook, contact data extracted from company lists, then cleaning and segmentation into an account and title based database, split again by relevance into decision makers against influencers so the nurturing campaigns could be designed properly. Outbound email, custom audience ads in multiple formats, lead gen and InMail campaigns ran on top of it.

Outcomes

What moved in the four months

342.7%
Increase in traffic from the target market. The deck credits the paid campaigns, the social posts and the content, with Benelux seeing the largest growth.
150%
Increase in demo booking via paid campaigns. LinkedIn campaigns in multiple formats, campaign time Jan - Mar 2019, with Leadfeeder and Clearbit integrations behind them. 35 customers and 4-6 demo per week.
17.9%
Increase in partnership interest, running at over 3-5 partners per month. Awareness and social engagement was one of the key requirements for a business this new to the market.

Against the OKR, not against a flattering baseline. The target was a 50K MQL database. The four months added 30k in net MQL growth, so the database moved a long way and still finished short of the number it was set. That is the honest read, and it is the one I would give you in the room.

Figures as recorded in the client’s own case deck. The deck’s MQL date range is internally inconsistent, so only its stated four-month timeframe and its Jan - Mar 2019 campaign window are published here.

The service behind this case: Growth Marketing.

An e-commerce marketplace whose growth had to be made repeatable

Peddler is a social buying e-commerce marketplace, trading into the UK. The brief was a strategy for month on month growth, so the work was a framework the team could run in sprints rather than a campaign: agree the North Star, read the data already there, then test and iterate against it. What follows separates what the deck measured from what it set as a target, because the deck itself does both.

Peddler · e-commerce, social buying Google Shopping Facebook and Instagram Email acquisition SEO and PR Referral 2018
The client

Social buying, sold into the UK

An e-commerce marketplace built on social buying. The UK list stood at 1,623 people, 31% of whom had bought something, and the deck notes that figure excludes the Mumsnet subscribers. Revenue was set as the North Star metric, so every channel below was judged against it rather than against its own vanity number.

The problem

Growth that could not be repeated on purpose

Growth had averaged 13% a month before February and then ran at 155% across March and April 2018. The question was not how to grow once. It was which crowds to concentrate on, and which channels would still be producing after the spike, given paid spend on Google Shopping had gone from 40 a day to an average of 175 a day, a 335% increase, in the last six days of April.

What I built

A North Star, four strategies, and sprints underneath them

The growth structure first: establish the North Star KPI, then evaluate the existing data and prioritise channels against it. Four strategies hung off it, each with its own tactics, dependencies and named risks: revenue from bottom of funnel paid, traffic and email acquisition, virality, and activation with average order size. The tactics were scheduled into weekly and bi-weekly sprints so they could be changed without the strategy moving.

Outcomes

What the optimisation work actually moved

€76,000
Google Shopping sales over 22 days, against roughly €4,600 of cost in the same window. Both figures are the deck’s own approximations.
600%+
Increase in Google Shopping impressions after the schedule optimisation. About 3K a day to 10K in a single day, settling to a 20K a day average within two weeks.
+47%
Purchases from organic traffic, 0.68 a day to 1 a day, with organic traffic itself up 28%, 22 users a day to 26. Jan to 29 March, 88 days, against 30 March to 15 May, 46 days.
Inside the Google Shopping account
  • Schedule optimisation, from 29 March, which is where the impression increase above came from.
  • Title optimisation, from 4 May. One Nike shoe went from not showing up 70% of the time to not showing up 10% of the time.
  • Segmented CPC on a shared budget, from 11 May. The deck records very high and very low days and keeps it on a weekly optimisation cycle rather than calling it finished.

The deck’s own caveat, kept here because it is the useful part: Google Shopping takes two to three days to learn, so results need patience. Its best single day, 14 May, is recorded with the note that it was hard to tell whether the campaign change was the contributing factor.

The targets, and what the deck does not tell you. The strategy set 150% month on month revenue, a three month goal of €245K and an end of year goal of €1.2M, with paid up 150%, traffic up 100%, virality up 20% and activation and average order size up 100%. Those are targets, not results: this document stops in May 2018 and never records the outcome against them. It does record what was already not working, and that is worth as much. The Mums community did not drive high conversions, virality had no clear formula, and attribution was listed as a live risk against the paid strategy.

Figures as recorded in the client’s own case deck for the stated periods. Where the deck gives an approximation it is published as an approximation, and its targets are published as targets.

The service behind this case: Growth Marketing.

Lead source tracking, online and offline, in one HubSpot portal

A HubSpot build for Settly, covering where a lead came from and how that answer stays true after handover. The engagement record for this one lists the scope and not the outcome, so the scope is what runs here, in full.

Settly · HubSpot build HubSpot Lead source tracking Workflows Custom properties UTM governance
What I built
  • Online lead source tracking management.
  • Offline lead source tracking management, so the sources that never touch a form still land in the same place.
  • A customised lead source assignment workflow.
  • The HubSpot custom properties underneath it.
  • A UTM template setup, so the tagging stays consistent once the portal is theirs.
What is not here

No metrics, and that is the whole of it

The engagement record for this one lists the scope and not the outcome, so I publish the scope and leave the rest alone. There is no measured result to quote, so there is no number on this case, and I would rather you saw the build than a figure I cannot stand behind.

Scope as recorded in the engagement record. No figures are published for this engagement because none were recorded.

The services behind this case: HubSpot Enablement, with RevOps Systems underneath it.

One more body of work, in the summary I wrote at the time

This comes from my own work overview rather than a full case deck, so it runs as narrative rather than as a metrics case. What follows is the shape of the work and what it was built to do.

Where I built this experience

Elsevier

Growth curve with respect to business objective, a data driven approach to maximize marketing output and be on the top of target.

The same pattern, different teams

Different tools, team sizes and starting points. The work rhymes: fix what the CRM records, wire the campaigns into it, and the reporting stops being guesswork. Each card carries the client, the problem, what was built and the metrics the client’s own deck recorded. Filter by the part of the stack you care about.

Global mobility · Webfleet / Bridgestone

Personalisation on broken records → a funnel that widened at every stage

The problem. Campaigns were running, but the funnel would not move. The personalised journeys were reading from a Salesforce data model where the same account could look like three different things.

What I built. A rebuilt object model, personalised web journeys rewired to read from it, and funnel reporting rebuilt on top so each stage could be watched on its own.

+130%
SQLs, 50 to 115
+268%
Opportunities, 25 to 92
+171%
Closed-won, 14 to 38
+875%
Personalisation wins, 64 to 624
B2B training marketplace · EdCast Inc. / Leapest

Two sides to feed → eight months of measured top-line growth

The problem. A training marketplace that had to grow buyers, instructors and content sellers at the same time, with one OKR sitting over all of it: grow the top-line revenue.

What I built. HubSpot as the marketing system with Leadfeeder alongside it, Unbounce landing pages and Mailchimp workflows for the automated funnel, then paid acquisition on Google and social, activation and onboarding email campaigns, and the reporting to measure all of it.

67.24%
Avg MoM growth, revenue by new buyers, May 2019 - Dec, 2019
+25.56%
QoQ top-line revenue, Q1 to Q2 2019. Q1 predates the engagement window.
Freight marketplace · Cogoport Europe B.V.

A standing start in a new market → traffic, demos and partners moving together

The problem. Operations had opened in Europe in October 2018 with no database to sell into, and five audiences to acquire at once: partners, exporters, importers, shippers and intermediate service providers.

What I built. A scraping funnel across Twitter, LinkedIn and Facebook, contact data extracted from company lists, then cleaning and segmentation into an account and title based database split by decision makers against influencers, with outbound email, custom audience ads and InMail campaigns running on it.

342.7%
Increase in traffic from target market
150%
Increase in demo booking via paid campaigns
17.9%
Increase in partnership interest
30k
Net MQL growth, against a stated 50K OKR
E-commerce · Peddler

A spike nobody could repeat → channels that kept producing after it

The problem. Growth had run at 155% across March and April 2018 off an average of 13% a month, on sharply increased paid spend. Which crowds to concentrate on, and which channels would still be working afterwards, was the open question.

What I built. Revenue as the North Star, four strategies under it with their own tactics, dependencies and named risks, run in weekly and bi-weekly sprints, plus the Google Shopping schedule, title and CPC optimisations underneath the paid strategy.

€76k
Google Shopping sales in 22 days, on about €4,600 of cost
600%+
Google Shopping impressions, after the schedule optimisation
+47%
Purchases from organic traffic, 0.68 a day to 1 a day
+28%
Organic traffic, 22 users a day to 26
HubSpot build · Settly

Lead source tracking, online and offline, in one HubSpot portal

What I built. Online lead source tracking management and offline lead source tracking management, a customised lead source assignment workflow, the HubSpot custom properties underneath it, and a UTM template setup so the tagging stays consistent after handover.

What is not here. No metrics. The engagement record for this one lists the scope and not the outcome, so I publish the scope and leave the rest alone.

Every number on this page is quoted from the client’s own case deck for the period that deck states, and where a deck records something unflattering next to the growth I have put it on the page too. They are what happened in those engagements, not a promise of the same numbers in your funnel. Where there is no measured result I say so and publish what was built instead, because I would rather show you the work than a number I cannot stand behind.

What clients say about the way I work

In their own words, from teams I have worked with directly.

Their commitment to a comprehensive discovery and audit process demonstrated a genuine investment in understanding our business.

SusieDigital Marketing Manager, Solplanet

HubSpot Heroes: Growack to the Rescue! We had a great experience working our HubSpot implementation. Incredibly professional.

Martin CEMEA Channel Partner Manager, Co-Flo Enterprise

From a startup perspective, Growack’s services were very beneficial to us. The new processes impact was clear winner.

Felix HCo-Founder, Clairify (now Volantis)

The tools behind the work

I work inside HubSpot and Salesforce daily. The rest of this stack connects to whichever one your team already runs on.

  • HubSpot
  • Salesforce
  • Salesforce personalisation
  • Google Ads
  • LinkedIn Ads
  • Analytics & attribution
Start here · RevOps Diagnostic

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