When a business needs strategy help
Strategy work makes sense when you are spending money on marketing and cannot clearly say what is working, or when you are about to make a big decision on tools, agencies or AI.
Common starting points include a new owner or marketing lead taking over accounts, ad costs rising without more booked work, a CRM nobody trusts, or pressure to "do something with AI" without a clear use for it. We look at the evidence first and then recommend. Some clients take the plan and run it in-house. Others ask us to carry it out through our Growth and Engineering teams.
Marketing audits
A marketing audit reviews your ad accounts, website, tracking, local presence and reporting, then ranks what to fix by likely impact and effort.
We check things like:
- Ad account structure, keyword match types, search terms, negative keywords and wasted spend
- Whether conversion tracking counts real leads, or counts page views and duplicate events
- Landing page speed, clarity and mobile experience
- Google Business Profile completeness, categories, posts and reviews
- SEO basics: indexing, page structure, schema and content gaps
- Whether reports answer business questions or just list platform metrics
You receive a written report with plain-English findings, screenshots and a prioritized action list.
Martech audits and technology selection
A martech audit lists every marketing and sales tool you pay for, what each one does, how they connect, and where data breaks. It often finds overlap and gaps at the same time.
We map your stack as a diagram, note costs and owners, and flag tools that duplicate each other or sit unused. When you need a new tool, we help you choose. We write requirements, shortlist options, check integrations and total cost, and recommend one with reasons. We have no reseller deals, so recommendations are based on fit. Our default bias is described on our technology page: use what you already have before buying more.
AI adoption roadmaps
An AI adoption roadmap identifies where AI can help your marketing and operations, in what order, and with what safeguards. It replaces vague pressure with a short, specific plan.
We interview your team, list repetitive tasks, and score each one by time saved, risk and data readiness. Good early candidates are usually report drafts, research summaries, content first drafts and lead qualification support, all with human review. We flag tasks where AI is a poor fit today, and we define approval rules using the same model we use for AI agents. The roadmap covers tools, data needs, policies for staff use, and a phased timeline.
Competitive intelligence
Competitive intelligence shows how competitors market themselves, where they spend, and where they leave openings. We focus on findings you can act on.
We review competitors' search ads and landing pages, organic rankings, Google Business Profiles and reviews, offers and pricing pages where public, social ads in public ad libraries, and how they appear in AI search answers. The output is a short brief: who you compete with in each channel, what they promise, and where your business can stand apart. It feeds directly into campaigns, SEO plans and messaging.