An early-stage B2B SaaS with a broad product and a PLG motion. This is how iExcel built the startup growth operating system — structured acquisition experiments across six channels, run in lockstep.
Early-stage B2B SaaS with a product-led-growth motion. Minerva sits in the customer success and knowledge-workflow category — a horizontal-adjacent tool with a legitimate case for adoption across sales enablement, customer success, support, onboarding, and internal ops. Every one of those audiences is defensible. None of them are the answer on day one.
The problem with a broad product is not the product. It is attribution. Without structured experiments, every channel looks equally interesting, every persona looks equally viable, and the roadmap gets set by whichever teammate spoke last. Growth stalls on ambiguity, not effort.
When iExcel picked up the engagement, we set the rule that shaped the next twelve months: every acquisition motion becomes a named experiment, with a scope, a channel, a hypothesis, and a report. Ship the test. Read the data. Kill or double. Move.
The biggest workstream, and the one that changed the shape of the company's traffic curve, was programmatic SEO built around Recipe Landing Pages and How-To content. The insight was simple: prospects were already searching for platform-specific playbooks — how to run a customer-success workflow inside Shopify, ClickUp, Slack, WordPress, Wix, Squarespace, Twitter, LinkedIn, and Google Analytics. Every one of those queries was a real user with a real job to do. Every one of them was a landing-page opportunity Minerva was not yet claiming.
We mapped the demand. 7,000+ long-tail keyword rows out of SEMrush. 1,900+ Google keyword rows against the customer-success and workflow clusters. 151 customer-success-specific keywords filtered for buyer intent. 216 paid-search recipe targets reserved for the highest-value queries. And a technical audit that surfaced 2,948 structured-data issues the site needed to fix before Google could reward the content we were about to publish.
Then we shipped. Recipe page after recipe page — same template, same schema, tuned for the specific platform-plus-task query. The engine compounded quarter-over-quarter, and the search read at the end of the run was the clearest signal in the entire growth stack.
Every early-stage growth motion is a portfolio problem. The Experiment Grid is how iExcel structures that portfolio — one tile per channel, each with a defined scope, a running hypothesis, and a report against the roadmap. Ship the test. Read the data. Kill or double.
Programmatic recipe pages against platform-plus-task queries — Shopify, ClickUp, Slack, WordPress, Wix, Squarespace, Twitter, LinkedIn, Google Analytics. The workhorse channel.
Low-cost signup volume against platform-specific "how-to" keywords. Non-branded intent captured while the SEO engine was still ramping — kept the top of the funnel warm.
Persona-segmented against customer-success, sales enablement, and knowledge-workflow buyers. Tighter targeting, higher-intent traffic — a different signal than search.
Launch-day distribution as a repeatable playbook — hunter outreach, day-of comms sequence, community warm-up, follow-through the week after. Not a one-shot vanity moment.
Customer-success event playbook — RSVP funnel, attendance drivers, follow-through automations. Later expanded into a webinar sequence with a structured lead-capture flow underneath it.
Meetup / Facebook / Reddit / LinkedIn group research plus a directory-and-profile sweep. Structured outbound where the audience was already gathered.
The reset held: optimized campaigns cut cost-per-lead 38% against the program’s prior snapshot, and the efficiency held as spend scaled into a multi-channel program.
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Cold outreach to VP-level Customer Success targets accepted at 33% — above the 20–30% band published for cold outreach.
\2None of the six channels hold up without a shared measurement layer. Analytics, reporting, keyword intelligence, and CRO ran underneath the experiment grid so every test reported the same shape and the leadership dashboard read a single story.
Standing GA4 property wired to source, medium, and campaign attribution on every acquisition channel. Nothing lands in reporting without a clean tag map.
Every conversion event fires through GTM. Signup events, trial starts, webinar registrations, and CTA clicks all mapped to a common taxonomy.
7,000+ long-tail keyword rows sourced against the recipe-page thesis. Weekly visibility monitoring on the customer-success and workflow clusters.
Indexation, click-through, and impression monitoring across the recipe engine. The structured-data cleanup was reported and re-verified through Search Console.
The paid layer — signup CPA on Google, persona-targeted intent on LinkedIn, shared attribution model into GA4 so both sides of the funnel read consistently.
Ongoing conversion-rate optimization against the recipe-page template — headline tests, CTA placement, signup form friction, PLG onboarding path.
One weekly leadership view — the six experiment tiles, the signup funnel, the recipe-page cohort. Read in five minutes, actionable in ten.
Outreach automation with attribution intact — connection sequences, follow-up rules, and community-facing content, all reported into the same channel view.
Registration, reminder, attendance, and follow-through automations for the customer-success event and webinar sequence. Lifecycle tagged at first touch.
If you are running an early-stage B2B SaaS with a PLG motion and a product that legitimately serves several audiences — and you are trying to figure out which channel, which persona, and which experiment to double down on before the runway ends — the Minerva engagement is the shape of what to do about it.
Name every acquisition motion. Give each one a scope, a hypothesis, and a report. Run six channels in lockstep against one attribution model. Let the compounding channel — programmatic SEO on recipe pages — carry the traffic curve while the fast channels ignite the top of the funnel. Kill or double at the end of every sprint.
Most agencies sell one channel. iExcel builds the growth OS underneath all of them — and stays through the sprints that turn a broad product into a compounding acquisition curve.
Six channels running in lockstep. One attribution model. A recipe engine that compounds while paid buys the top of the funnel. Book a 15-minute sanity check on your growth stack — we'll tell you what's under-built and what to test first.
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