I help SaaS companies grow. Shopify apps are my specialty.

Who it’s for. You run a Shopify app with a team of 1 to 10, and nobody owns growth. The app is good. It isn’t getting found.

• Rewrite the App Store listing: name, subtitle, intro, features, screenshots and search terms.
• Research keywords: what merchants search for, who ranks, and where your app can realistically rank.
• Run App Store ads and cut the keywords that spend without bringing installs.
• Fix attribution, so organic, ad, referral and partner installs are counted separately.
• Test pricing and plans one change at a time, with a clean before and after.
• Report retention by channel, so you stop paying for installs that uninstall within 30 minutes.

How it’s sold. A fixed-price audit that takes 1 to 2 weeks. After that, a monthly retainer if you want me to run the ads and tests.

Who it’s for. Your customers are merchants, and agencies manage many of them. You tried affiliates and got little out of it.

• Define the partner worth having: how many clients, what store revenue, which verticals.
• Find candidates on Upwork, in Shopify Partner directories, on LinkedIn and in agency lists.
• Write the job post, the screening questions and a scoring sheet, then run the calls.
• Set the offer: paid tests, a payout per install or per activation, or revenue share.
• Verify every store before payout. It needs real orders and real revenue, and it can’t be a dev store or one account installing everywhere.
• Report what a verified store costs you and how long partner stores stay.

What I learned running one: a flat $10 per store attracts the wrong partners. Agencies want a reason that helps their clients, and store owners worry about data access. The offer has to answer both.

How it’s sold. A fixed-scope launch over 6 to 8 weeks, up to your first signed partners. Monthly partner management after that is optional.

Who it’s for. Your open and reply rates have dropped, and you can’t tell if it’s the domain, the list or the copy. Or you’re starting outbound and want it set up properly once.

• Check the sending setup: domains, mailboxes, SPF, DKIM, DMARC, warm-up and daily volume.
• Run inbox placement tests and read the DMARC reports to see what goes to spam.
• Build and clean the list. Bounces, past repliers, open deals and generic addresses come out.
• Cap contacts per company, so 30 people at one agency don’t get the same email.
• Write short, specific sequences that stop when someone replies.

Before I change anything, I work out whether the problem is the sending setup, the list or the copy. Rewriting the copy won’t help if the email is in spam.

How it’s sold. A fixed-price deliverability rescue over 1 to 2 weeks, then a monthly retainer per campaign.

Who it’s for. You have PostHog, Mixpanel or a database full of events. Nobody on the team turns it into decisions.

• Map your events and database tables, and list what isn’t tracked.
• Agree with you what counts as activated, and build the funnel from signup to paid.
• Build dashboards where every chart has a description anyone on the team can read.
• Measure releases, pricing changes and promos before and after, with test accounts left out.
• Write SQL against a read replica for the questions dashboards can’t answer.
• Turn each finding into a ticket with the evidence and acceptance criteria.

How it’s sold. A setup project over 2 to 3 weeks, then a block of analytics hours each month.

Who it’s for. You spend $2k to $30k a month on ads and can’t show which part of it works.

• Set up conversion tracking and check it against your product database. The ad platform and your analytics will disagree.
• Structure campaigns by goal across Google, Meta, Reddit and LinkedIn.
• Brief and test creatives and landing pages.
• Keep one tracker with spend, cost per customer and a decision for every campaign.
• Compare how long paid customers stay against organic ones, and stop the channels whose customers leave.

How it’s sold. A monthly fee based on your spend. It works best next to the growth or analytics work, because what I add is the link between ad spend and retention.

Who it’s for. You have plenty of free or trial users and few of them pay. You’re probably already paying for Customer.io, Klaviyo or Intercom.

• Map the lifecycle and pick the 5 to 8 moments worth a message.
• Write onboarding sequences where each email points to one next action.
• Build emails that show what the product did for the user, such as a daily report of what the app caught.
• Send promo and trial-expiry reminders 7 days and 1 day out.
• Get opt-outs and unsubscribes right, including when defaults change.
• Test subject lines, timing and calls to action, and judge them on activation. Opens don’t count.

How it’s sold. A fixed project per set of flows (onboarding, upgrade, win-back), then a monthly retainer to keep improving them.

Who it’s for. Your marketing or growth team is 2 to 15 people. You know AI could save hours a week, and so far it’s a chat box.

• Find the 5 recurring tasks that eat the most hours: reports, meeting prep, ad reviews, tickets, follow-ups.
• Connect your tools with the right permissions: ads, CRM, outbound, analytics, docs and databases.
• Turn your playbooks into reusable skills, such as copy rules, an ads audit or a listing review.
• Set up recurring jobs, like a Monday growth report and a brief before each meeting.
• Put guardrails in place: read-only data access, and your approval before anything sends or spends.
• Train the team and hand over the documentation.

I run my own marketing through Claude with more than 15 connected tools, so you can see it working before you buy it.

How it’s sold. A fixed-price setup over 3 to 4 weeks, with optional monthly support.