12x marketing case study video

This clip comes from our marketing case study material. The page around it explains how we think about growth for the websites, apps and AI products we build, because the question behind a video like this is usually the same one: we launched, so where do the customers come from?

Our answer starts before any campaign. Growth work fails most often because the basics underneath it are missing: no reliable analytics, no clear conversion goal, and a site that search engines and AI assistants cannot read. Spending on ads before those are fixed buys traffic that nobody can measure and that the site does not convert.

Every growth engagement begins with analytics setup. That means deciding what a lead is for this business, whether a booked call, a form, a purchase or a trial, and tracking it end to end so each channel can be judged on the leads it produces rather than on clicks. Tags run through a consent gate so tracking respects the choices visitors make.

With measurement in place, the first report is usually uncomfortable and useful. It shows which pages bring in visitors who never convert, which channels bring in the few who do, and where people abandon a form halfway through. Those findings decide the plan more than any general best practice.

Search is still the channel with the best long-term return for most service businesses, and it has changed. People now ask ChatGPT, Gemini, Perplexity and Google's AI answers the questions they used to type into a search box. A page has to be written so that an assistant can lift a complete, accurate answer from it, with the real figure in the first sentence.

That is the work behind our SEO, answer engine optimization and GEO services. In practice it means pages rendered on the server so crawlers see the content, structured data that describes the business correctly, answers to the questions buyers actually ask, and content substantial enough to be worth citing. Thin pages get neither ranked nor quoted.

Local SEO sits alongside this for businesses that serve a place. A complete Google Business Profile with accurate services, products and categories is where many local customers first find a business, and it is one of the cheapest channels to get right.

Paid channels such as Google Ads and social media advertising are useful for testing demand quickly and for filling gaps while organic search builds. We run them against the conversion tracking from step one, so a campaign that does not produce leads at an acceptable cost gets cut rather than defended.

Email and marketing automation turn leads into customers over time. Most enquiries are not ready to buy on day one. A short sequence that answers the next question they will have, sent at the right moment, recovers a large share of the value that would otherwise go cold. Conversion optimization then works on the pages themselves, testing changes to forms, offers and layout against the baseline.

A growing part of lead generation is simply answering. A lead that calls after hours and reaches voicemail is often a lead lost to a competitor who picked up. An AI receptionist answers on the first ring at any hour, asks the qualifying questions your front desk would ask, books into your calendar and hands off to a person when needed. A single-location receptionist starts at $5,000 to build and is usually live in three to four weeks.

The same applies to the website. An AI chatbot that knows your services and prices can answer the questions that currently stop visitors from filling in a form. Neither replaces the marketing above. Both make sure the leads it produces are not wasted.

Much of what we build is mobile apps, and growing an app follows different rules from growing a website. The store listing is a landing page in its own right, so app store optimization, meaning the title, keywords, screenshots and reviews, decides how many people install after finding it. Installs are only the start. An app that people open once and abandon will not grow however much is spent acquiring users, which is why retention comes before acquisition in any plan we write for an app.

The practical sequence is to instrument retention from the first release, fix the reasons people leave in the first week, and only then spend to bring more people in. Spending first means paying to fill a bucket with a hole in it.

Growth work attracts big promises: guaranteed rankings, guaranteed multiples of traffic, guaranteed leads. We do not make them. Search engines and AI assistants change how they rank and cite pages, ad costs move with competition, and every market is different. What we commit to is the method above, measured reporting against an agreed baseline, and a clear view each month of what is working and what should stop.

That reporting is written for the person paying for it, not for marketers. It shows leads, their cost and where they came from, and it says plainly when a channel has not earned its budget.

If you want help with growth, the useful first step is a conversation about what a lead is worth to you and what is being measured today. From there we can say which of these services would move the number and which would not. Our case studies show the products we have built and launched, and the services page lists every line of work in detail.