A digital marketing blueprint, from a product manager

I’ve always approached marketing as an extension of product development: user-centric, iterative and relentlessly data-driven. At Reach And Teach Learning Solutions, I led a digital campaign for a school client that delivered a 35% increase in leads and a 20% boost in conversion rate year on year. It wasn’t about chasing trends; it was a complete strategy built from years of optimising user journeys. Here’s the approach, step by step, so you can adapt it.

Building the foundation: forensic data analysis

The biggest mistake in digital campaigns is starting without a solid baseline. For this client we began by analysing last year’s performance, focusing on cost per lead (CPL) but going deeper into lead quality and conversion drop-off. Google Ads stood out for high-intent queries, with a CPL about 15% lower than Meta’s demographic-targeted campaigns, thanks to keywords that captured genuine search intent.

We added forecasting: cohort analysis of historical trends predicted seasonal swings, such as the Q3 back-to-school surge that can lift enquiries by up to 50%. That shaped the initial budget: 55% Google for precision, 35% Meta for awareness, and a 10% buffer for testing new channels. Build predictive elements in early so the campaign evolves with the market instead of reacting to it.

Phased rollout: iterate like a product roadmap

Campaigns thrive on agility, much like iterating on an MVP: test, learn, scale. I structured this one in phases, each with KPIs tied to business impact, so we could pivot without wasting budget.

Phase 1: hypothesis validation (weeks 1–4)

Budgets were weighted towards proven channels, with dynamic bidding on Google for keywords like “school enrolment deadlines”. On Meta, we refined audiences with psychographic segmentation, targeting engaged parents through interest-based ads. Adding negative keywords to filter irrelevant traffic gave a quick 20% CPL drop. This phase was about gathering usable data: confirming what worked and flagging what didn’t.

Phase 2: data-driven scaling (weeks 5–8)

With fresh data, we adjusted: Meta allocation up 30% when video formats showed stronger engagement, and Google spend trimmed on low-converting terms. Lookalike audiences built from Phase 1’s best performers added efficiency, and rotating creatives through A/B tests reduced ad fatigue and lifted click-through rate by 10%.

Phase 3: sustain and refine (week 9 onwards)

Automation took over: API-driven budget reallocation kept optimisation going. Attrition mapping found the bottlenecks (for example, a 25% drop-off after first enquiry), which we countered with personalised nurture sequences that reclaimed about 12% of lost leads. Feedback loops worked like product retrospectives, so the gains compounded.

Mapping the lead journey: from first click to enrolled student

I designed the end-to-end flow myself, treating it like a product experience: seamless, intuitive and conversion-focused, with privacy (GDPR) built in throughout.

1. Discovery: ads matched intent, whether a Google search for “best schools near me” or a Meta feed post with a parent education guide, and spoke to real pain points like simplifying admissions for busy families.
2. Frictionless integration: leads flowed automatically from the ad platforms into the admissions CRM through real-time APIs, with source attribution (e.g. “Google_Keyword_Search”) for precise tracking. No manual errors.
3. Nurture and close: the CRM worked as an intelligent task manager, alerting counsellors to follow up immediately, schedule appointments and log responses. It recommended next steps (a virtual tour invite for warm leads, automated emails for cooler ones). That personalisation lifted response rates by 25% in testing.

My role was hands-on throughout, from building the flows to ethical data handling, including consent mechanisms that protected privacy while still allowing effective remarketing.

Takeaways

• Holistic metrics matter. Don’t stop at CPL; add LTV and attrition for the full picture. That’s how short-term wins become lasting growth.
• Avoid silos. Don’t isolate channels or ignore device trends (mobile was 40% of our traffic). Diversify like a balanced product portfolio.
• The PM edge in marketing. Mapping journeys and iterating are product skills, and they transfer directly to growth work.

The short version, with the outcomes, is the case study Running an admissions campaign like a product roadmap.