SEO audit and content plan
Deliverable: A full audit of a real website with prioritised technical and content findings, plus a keyword map assigning one primary query per page with no overlaps.
Course
SEO, paid advertising, content, email and analytics taught around measurement, with real campaigns on real budgets and an emphasis on attributing results honestly.
7 modules · 4 months
Deliverable: A full audit of a real website with prioritised technical and content findings, plus a keyword map assigning one primary query per page with no overlaps.
Deliverable: A Google Ads campaign run on a small real budget, with documented structure, negative keyword management, and a post-campaign report separating what you changed from what changed anyway.
Deliverable: A structured creative test on Meta with a stated hypothesis, sufficient runtime, and an honest conclusion about whether the difference observed was meaningful.
Deliverable: GA4 and Tag Manager configured on a real site with conversion tracking, plus a reporting dashboard built to answer three specific stakeholder questions.
Every student gets placement assistance — that is what 100% placement assistance means. It is support for all, not a job for all. We do not promise a specific salary, a specific number of interviews, or placement at any named company, and you should be wary of anyone who does.
Most digital marketing courses teach channels first — here is SEO, here is Google Ads, here is Meta — and analytics somewhere near the end, if at all.
That ordering produces marketers who can launch a campaign and cannot tell you whether it worked. So this course inverts it. The first module is objectives, tracking and attribution, before a rupee is spent. Every campaign you run afterwards has measurement in place from the start, which is the only condition under which you learn anything from the result.
You will run live campaigns with small real budgets.
This matters more than it sounds. A simulated campaign never disapproves your ad, never spends your daily budget in two hours on an irrelevant search term, and never forces you to decide whether to stop something you argued for. Those experiences are the course.
We teach using AI assistants, and we teach why publishing their unedited output is a poor strategy.
Generic content is now abundant and close to free, which means it is worth close to nothing in a search results page. What earns rankings and links is something the model could not have produced: original data, genuine experience, a specific point of view. The content module is built around that distinction rather than around production volume.
Questions
The content-production part has become cheaper and more commoditised, which is exactly why the strategic and analytical parts are now worth more. Deciding what to measure, structuring a campaign, diagnosing why conversions dropped and judging whether a result is real are the durable skills, and this course weights them accordingly.
No. Some technical literacy helps with technical SEO and tag management, and we cover what you need — how crawling works, what a redirect does, how a tag fires. You will not be writing applications. Comfort with spreadsheets and data matters considerably more than programming.
Yes, on small budgets. This is the part most courses skip, and it is where the learning is. Managing a live campaign teaches things simulated exercises cannot — sudden cost changes, disapproved ads, and the discipline of stopping something that is not working rather than defending it.
They suit different temperaments. SEO is slower, compounding and rewards patience; paid ads are faster, more measurable and more volatile. This course covers both properly so you can choose from experience rather than a description. Most working professionals end up with a primary strength and working literacy in the other.
Three details is all we need. A course advisor will call you back.
A structured path from spreadsheets to SQL, Power BI and Python, built around the four things a data analyst is actually paid to do — pull the data, clean it, analyse it and explain it.
The Excel that offices actually run on — lookup logic, PivotTables, Power Query pipelines, dashboards and enough VBA to automate the work you repeat every month.
Next step
Tell us what you want to learn and we will help you pick the right course, batch and mode.