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Results

The problems I’ve solved, and what changed after.

I usually walk into a content function that doesn’t exist yet or a brand nobody’s defined (once, a buyer the company had only just decided to chase). Below is what I decided in each case and why, with the results that moved.

48%
Marketing-sourced pipeline in peak months, as a team of one in content
€150K+
Raised above a fundraising target, on a campaign built around the people running
35%
Of site traffic from launch content during campaign windows

Pipeline figures are the content operation’s contribution, produced from CRM reports by the marketing manager who owned that system. Content rarely closes a B2B deal alone, so I report it as a contributor.

01 · The problems

Find yours, then read what I did.

02 · Pipeline

Turning content into pipeline.

Full Fabric · B2B SaaS for 200+ higher education institutions

The problem

I was the only content person on a four-person marketing team, writing for a buying committee of five roles: IT, Deans and CEOs, Admissions, Marketing and CFOs. Each one needed different evidence, and there was no way to serve all five at full depth.

What I decided, and why

I asked to be judged on pipeline contribution, because downloads would have looked good while telling leadership nothing. Every content goal traced back to a business goal in one line. Our marketing manager ran the CRM and produced the pipeline reports, while I chose the metric and decided how we’d report it.

I built each persona from sales conversations and customer language, then wrote a priority split every quarter based on live deals and the gaps costing us opportunities that week (plus any persona we’d ignored long enough to stall a sale later). One quarter ran 40% IT, 25% Admissions, 20% Leadership, 10% Marketing and 5% CFO.

The biggest single asset was a 50+ page academic workflow playbook, which I broke down into other formats (ad copy for the agency’s campaigns included) and which became one of the strongest campaigns across channels.

03 · Repositioning

Repositioning for a new buyer.

Full Fabric · the move from admissions-led to IT-first

The problem

Six months in, leadership moved the primary buyer from Admissions Directors to IT leaders: CIOs, CTOs and heads of infrastructure. Deals were stalling because IT joined late and wasn’t bought in, and the library had nothing credible for them on integrations or security, let alone architecture.

What I decided, and why

I triaged the whole library in about a day and a half into keep, deprioritise, rework and build from scratch. I moved Admissions content down to the opportunistic tier and rewrote the product pages that led with it, which freed around half of capacity for IT while the other four personas stayed in maintenance mode.

I warned leadership up front that Admissions blog traffic would dip and swapped in transition KPIs to match. I also told them to expect the first measurable results around week six, so nobody would panic at week three.

04 · Brand

Defining a brand nobody had defined.

EVA Global · B2B eMobility services in 39 countries

The problem

I took over content and found 40+ brand assets, each describing a slightly different company. Nobody had written a positioning document or a messaging hierarchy, let alone a tonal framework, and the brief asked me to clean up a brand that had never been defined.

What I decided, and why

I treated it as a rebuild, because a refresh assumes there’s a coherent brand underneath to polish. I audited every asset on audience, tone, what it promised, look and status, then wrote a short positioning document: who the company is, who it’s for (specific enough to exclude someone), what it stands against and how it sounds, with “we say this, we never say that” examples.

I pitched it to leadership on time and money with the audit as evidence, and brought Sales in early, since they used the deck and one-pagers every day. The company later went bankrupt, for reasons far bigger than its brand.

One Hundred Group · a global ultra trail running championship

I rebuilt the positioning around the runners, since a race is more compelling told through the people running it, and the social strategy followed.

+75%Followers
+45%Engagement per post
05 · Campaigns

Campaigns with a deadline.

One Hundred Group · a fundraiser tied to a multi-day race

The problem

The championship raced across more than five countries and had a fundraising initiative with a conservative target, because nobody there had run a comparable campaign before. I was the sole marketing lead, coordinating four freelance social media specialists in the UK, the USA, Italy and Brazil on race days.

What I decided, and why

Fundraising has days instead of months, and has to move someone from feeling something to giving in the same scroll. So I built each runner’s story before race day and centred the campaign on a named runner instead of the organisation. Most of the effort went into live coverage, when urgency and emotion peaked together, with the race clock as the deadline and the running community doing the distribution.

EVA Global · two product launches

Both launches had tight campaign windows and eight very different buyer types to reach. I built the strategy and launch narrative and wrote every asset myself, then ran both launches end to end across web and social so the message stayed the same wherever a buyer met it.

35%Of site traffic from launch content in campaign windows
07 · Digital

Owning digital end to end.

Cleanwatts · renewable energy SaaS across Portugal, Europe and Brazil

The problem

Cleanwatts had a full marketing team, and I was its only digital marketer for 18 months, covering blog, case studies, PR, web, social, design and email for business buyers, energy community managers and residential consumers. Social and email didn’t exist when I arrived.

What I decided, and why

Sales came first, because the gap between how a company describes itself and how buyers describe their problem is where the content plan comes from. With them, I split the audience by buying motivation instead of CRM fields, and that split drove everything from the blog to the email programme.

Each email carried one idea and one call to action matched to where the reader was, and specific, benefit-led subject lines won every test. I rewrote the product messaging and user flow across 20+ pages and built the changes myself in HTML and CSS instead of waiting on a developer.

08 · Social

Social that earns its reach.

Full Fabric · the company LinkedIn page

What I decided, and why

I ran a fixed mix at a cadence I could keep for a year, 39+ posts a quarter. Product content stayed at 10% on purpose, because pages that give it 40% to 60% watch their engagement collapse. Every blog post went out as a native post with the link in the first comment, and I wrote three or four suggested angles per piece so colleagues could share it in their own words.

What I cut along the way

Video underperformed in every format I tried, so I dropped it within a quarter. Polls got impressions and no conversation, and generic listicles lost to specific case studies with numbers by four or five times.

09 · Now

What I’m working on now.

Current role · B2B SaaS · sole content lead

Fix the analytics before the content

Every decision after this would rely on the analytics, so I audited them first and found 43% of site traffic being miscounted. I rebuilt the tracking with cross-domain measurement, then set up three buyer personas and seven behavioural segments to see who content brings in.

Give AI search a baseline

I built a fixed set of 20 buyer prompts and run it across ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews. In the first baseline, the brand was named in 38% of answers and cited as a source in 37%, at an average list position of 2.3.

Rework what already ranks

The blog already ranked for queries buyers type, so updating it with my AEO/LLMO framework was the cheapest route to better rankings and more citations: the claim and named sources up top, an early self-contained answer, question headings, FAQ schema and links between pieces.

Write the system down

I wrote the positioning, a brand voice guide with learner and expert registers, a sales playbook and a measurement framework, and built a production system with a Claude skill per content type and a claims register as the source of truth, with my review before anything ships.

18.4 → 8.8
Average Google position in five weeks
+54%
Search click-through rate on the previous quarter’s average
4x
LinkedIn impressions quarter on quarter (743 to 2,993)
10%
LinkedIn engagement rate, up from 4.2%
10 · How I decide

The rules under every result.

I agree the metric before the quarter starts

Picking it afterwards looks exactly like what it is, and my test for any metric is whether a change in it would change what I do next.

Personas come from sales calls

I build them from customer language and give them a written priority split every quarter, since giving every persona equal time is the most expensive way to split the work.

Keywords come after pillars

A topic earns a slot when we can say something competitors can’t about a pain one of our personas has, and the demand shows up in search, AI questions or sales calls.

Every idea states its job in one sentence

Then I price it on total effort and check it against the positioning we’re running. When a senior stakeholder pitches something, I show them what it would push off the calendar and let them choose.

Sales tells me what’s missing

I ask what they wish they had at each stage, then look at what they’ve been building themselves in a hurry, which is basically the spec.

Substance before structure in AI search

SEO basics come before both, of course. I read four signals side by side (a fixed prompt set, branded search, where buyers say they heard of us and AI referral sessions) and only make a claim when two move together.

11 · Hindsight

What I’d do differently.

  • Start five personas as three primary and two secondary, instead of serving all five equally and adjusting later.
  • Act on three KPIs and treat the rest as diagnostics. None of my 17 KPIs asked buyers where they first heard of us, and a required field on sales calls would have been the cheapest source of all.
  • Start a pivot’s triage before it’s announced, and ask for a named engineering contact on day one, since verifying technical claims was the slowest step.
  • Retire outdated and duplicate brand assets before rewriting anything else.
  • Turn the obvious hand-sent emails into triggered flows based on what people did.

Working through one of these? I’d like to hear how it’s going.

I’m based in Leiria, Portugal, and my full work history is on LinkedIn.

Solange Rainha · Results · November 2026