From internal theories to real buyer evidence.

Your team has plenty of theories about why deals close and why they stall, but no hard proof from the market. Internal feedback comes from whoever was loudest in the deal room, and it usually contradicts itself. Maybe you've even tried running customer calls in-house, but buyers rarely give candid answers to the people who sold them.

Rachel brings business experience and the skills to implement go-to-market, product marketing, content production, and technical documentation.

What we can work on together.

Win/loss

Interview buyers after won and lost deals to learn the real reasons from the buyer and fix the causes that repeat.

  • Learn about the positives and negatives when it's still fresh in memory.
  • Understand where you're doing well.
  • Fix repeatable loss causes.
  • Sharpen competitive positioning.
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  • Interview guides and recruiting for closed-won and closed-lost accounts
  • Independent interviews, recorded and transcribed
  • Coded themes with the buyer's verbatim quote attached to each finding
  • A readout each cycle, routed to product, sales, and messaging
← Back to outcomes

Feedback loops & roadmap input

Collect, score, and route customer requests through one intake to give product and sales a shared basis for roadmap decisions.

  • Ground roadmap decisions in documented evidence.
  • Reduce churn from ignored requests.
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  • One intake for requests from sales, support, community, and customer calls
  • A weighted scoring rubric for ranking requests
  • Standing working sessions with product
  • A reply to the person who raised each request
← Back to outcomes
Read more about my approach
→

Voice of the customer

Interview, survey, and review-mine current and churned users to base messaging and product decisions on what buyers actually say.

  • Base messaging and product decisions on buyer evidence.
  • Learn why customers churn.
  • Find new segments.
  • Cut churn from requests that went unanswered.
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  • Interview guides and recruiting for current and churned accounts
  • Surveys, review mining, and support-ticket themes
  • Coded findings with the customer's verbatim quote attached
  • A readout each cycle, routed to product, engineering, marketing, and success
  • A reply to the customers whose feedback was raised, so they know what happened to it
← Back to outcomes

Onboarding programs

Design the first-week experience across email, in-app messages, and content to bring new signups to activation and repeat use.

  • Raise activation rate.
  • Cut time to first value.
  • Reduce early churn.
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  • Onboarding flow design, mapped to the first real value moment
  • Welcome and activation email sequences
  • In-app messaging and milestone triggers
  • Tests on the steps where people drop off
← Back to outcomes

Retention & nurture campaigns

Run lifecycle sequences built on real usage signals, keeping existing customers engaged and moving toward renewal or expansion.

  • Raise renewal rate.
  • Grow expansion revenue.
  • Catch at-risk accounts early.
  • Stop losing customers to launches they never heard about.
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A cadence built around usage signals ensures that you bring value to your customers at the right points in time.

  • Lifecycle email sequences, mapped to usage and renewal stage
  • Win-back campaigns for accounts going quiet
  • Expansion and upsell messaging tied to product usage
  • Segmentation built on behavior, not just firmographics
← Back to outcomes

Customer marketing content

Write your best customers' stories into case studies, spotlights, and customer communications to arm sales with proof.

  • Shorten deal cycles with proof.
  • Support renewals.
  • Reuse customer stories across channels.
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  • Customer spotlights and case studies, from interview to published piece
  • Customer newsletters and community updates
  • Renewal and expansion collateral built on customer proof
← Back to outcomes

Customer advocacy programs

Turn your best customers into references, reviewers, and community voices through clear asks and reciprocity.

  • Supply references on demand.
  • Lift review scores.
  • Generate referrals.
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  • Advocate identification and recruitment criteria
  • Reference call and review request workflows
  • Community or ambassador program structure
  • Recognition built into the program, not left to goodwill
← Back to outcomes

Product-led growth (PLG)

Build acquisition, activation, and expansion loops into the product itself to grow with less outbound effort.

  • Acquire and expand via the product itself.
  • Reduce outbound costs.
  • Enable self-serve conversion.
  • Decrease CAC.
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  • Growth loop design: invite flows, sharing, viral mechanics
  • Free trial, freemium, or sandbox strategy and conversion paths
  • In-product upgrade and expansion prompts
  • PLG metrics: activation, time-to-value, expansion revenue
← Back to outcomes

Who this is for.

For growth teams who need repeatable market insight, seed to Series C.

Why work with me.

One person, one story

Brand and product read better in one voice, especially for technical products.

Curious & flexible approach

New approaches every time, based on your business needs specifically.

Speaks everyone's language

Tell your story uniformly to anyone, using clear, persuasive language adapted by persona.

Strategic thinking, critical eye

I'll give you my honest opinion every single time.

Have it your way

We'll agree together on how to manage the engagement, based on your business needs.

Fast, and also pedantic

I learn super fast, and I'm pedantically attentive to the small details simultaneously.

Read about my values.

Questions?

What does "deep tech" mean?

Products whose primary value is the technology itself, and where the buyer or first discoverer is often technical: cybersecurity, AI and computer vision, developer tools, fleet and operations platforms.

Practically, this usually means that copy should be direct and technical - at least for that part of your audience.

Do you replace an in-house team or work alongside one?

My engagement with each company changes depending on the business needs!

What does an engagement look like?

A project, a quarter, or the long haul: this can be anything from hands-on execution through to fractional marketing leadership.

Do you write the work yourself, or manage writers?

I write it. That is the point of the arrangement: the strategy and the technical writing that makes it credible come from the same person.

When volume genuinely needs more hands, I bring in and manage contractors, but the through-line stays mine.

How technical does it actually get?

Further than most strategists go: docs-as-code, analytics, product and UX specs, and content structured so that LLMs can read it.

Developer portals, product documentation and release notes are inside the work, not adjacent to it.

How do you use AI in the work?

AI accelerates work that I have always done myself but didn't really need to, and makes me available to do the work that only an experienced human can do. AI workflows, skill systems, pipelines and automations.

I also teach it, including to marketers who are wary of it. Judgment about when not to use it is part of the job.

What does "deep tech" mean?

Products whose primary value is the technology itself, and where the buyer or first discoverer is often technical: cybersecurity, AI and computer vision, developer tools, fleet and operations platforms.

Practically, this usually means that copy should be direct and technical - at least for that part of your audience.

Do you replace an in-house team or work alongside one?

My engagement with each company changes depending on the business needs!

What does an engagement look like?

A project, a quarter, or the long haul: this can be anything from hands-on execution through to fractional marketing leadership.

Do you write the work yourself, or manage writers?

I write it. That is the point of the arrangement: the strategy and the technical writing that makes it credible come from the same person.

When volume genuinely needs more hands, I bring in and manage contractors, but the through-line stays mine.

How technical does it actually get?

Further than most strategists go: docs-as-code, analytics, product and UX specs, and content structured so that LLMs can read it.

Developer portals, product documentation and release notes are inside the work, not adjacent to it.

How do you use AI in the work?

AI accelerates work that I have always done myself but didn't really need to, and makes me available to do the work that only an experienced human can do. AI workflows, skill systems, pipelines and automations.

I also teach it, including to marketers who are wary of it. Judgment about when not to use it is part of the job.

Is the mentoring really free?

Yes. For marketers and technical writers: breaking in, using AI with judgment, and building systems that get used.

There is no upsell attached to it and no catch.

How do you measure success?

Metrics depend on what we're working on together.

For example, for internal enablement, we might look at engagement and adoption after implementing a new platform. For a new social media platform, we might track traffic, engagement and conversion. It all depends on the project and goals.

We'll establish scope and measurements at the start of the project.

Still not sure?

Tell me what you're working on. I'll help you understand how I can help you find the right solutions.