What this blog actually covers
This is the long-form library for people who already buy paid media for a living, or who are trying to. The articles here are written by media buyers and ad-operations engineers, not by a marketing team trying to fill a content calendar — which means the topics are narrow on purpose: how the Meta and TikTok auctions actually behave in 2026, how to scale a Facebook account without resetting the learning phase, how Google's Performance Max really decides what to spend on, and the operational reality of launching ads at volume across Meta, TikTok, Google Ads, and Snapchat without losing your weekends to Ads Manager.
The three threads we keep returning to
- Strategy and craft. How to run Facebook ads in 2026, how to scale them once something works, what creative testing actually looks like when the algorithm has already eaten most of the targeting edge. These are the foundational pieces — if you are picking up paid media for the first time or coming back after a long break, start here.
- Operations. The unglamorous half of the job: bulk launching ads across platforms, keeping naming conventions sane, avoiding the silent errors that quietly cost you days of optimisation data. This thread is where Meta ads bulk upload, TikTok ads bulk upload, and Google Ads bulk upload meet the real workflows on this list.
- Industry changes and data. Monthly Meta Ads platform updates that actually move performance, statistics on creative testing and bulk uploading, and what changed in the major ad APIs since the last release. This is the thread that ages quickly and is refreshed most often.
Who these articles are written for
The writing voice is aimed at a senior media buyer or ad-operations lead — somebody who already knows what a conversion event is, who has read at least one Meta Ads Manager error message at 11pm, and who wants the actual playbook rather than a beginner's overview. That said, the articles try to be readable for marketers who are newer to the discipline: vocabulary is defined the first time it appears, screenshots and examples are concrete, and we try to flag where common advice on the wider internet is wrong or out of date.
How we keep the articles honest
Every article is reviewed against either real campaign data that we ran, or the live behaviour of the Meta, TikTok, Google, or Snapchat platforms at the time of publishing. When a platform changes — Meta deprecates an ad-set field, Google ships a new Performance Max constraint, TikTok updates its Smart Performance Campaign rules — the relevant article is revisited and the date at the top is bumped. If an article is more than six months old and the platform behaviour underneath it has shifted, treat the high-level structure as still useful and the specific clicks as needing a quick sanity check.
Where to go from here
If you want a workflow you can apply this week, browse the Solutions library. If you are evaluating ad-launching tools and want a side-by-side breakdown, look at the comparison pages. If you want the pillar overviews — the long versions of "what does an ad-launching workflow look like" for each platform — start with the media buying platform pillar.
Questions readers tend to ask about the blog
Is any of this written by AI?
The drafts are written by humans — practitioners who run ads or build the AdLiftr product — and then go through a second pair of human eyes before publish. We use AI for research and proofreading, the same way most teams use spell-check, but the structure, opinions, and specific examples in every article come from real work. If an article reads like a generic content-marketing post, that is a bug we want to hear about.
How often do new articles go up?
A few per month, plus an ongoing refresh cycle on the pages that age fastest — the Meta monthly updates digest, the scaling guides, and the platform-specific bulk-upload explainers. We deliberately publish less than the typical SaaS blog calendar because we would rather ship articles that hold up two years from now than fill a content calendar today.
Where do the sources come from?
Where we cite specific numbers, statistics, or platform behaviours, we link to the primary source — usually Meta's, TikTok's, Google's, or Snapchat's own documentation, a published industry benchmark report, or a clearly-dated screenshot of the relevant Ads Manager screen. Articles older than six months may link to sources that the platform has since moved or rewritten; if you spot a broken or outdated reference, it is worth flagging.
Can I republish or quote these articles?
Short quotes with a clear link back to the article are welcome and do not require permission. Republishing whole sections, translating an article in full, or embedding the content inside another product needs a quick email — we have said yes to most reasonable requests and credit-with-link is the only standing condition.
Why are the articles longer than the typical SaaS blog?
Because the questions media buyers actually ask do not fit in five hundred words. "How do I run Facebook ads in 2026" only has a useful answer if you also explain why learning-phase resets cost money, why Advantage+ now eats most of the targeting decisions, what the realistic creative-volume target is for a scaled account, and where the platform changed since the last time you looked. A short post that skips all of that reads well but does not change how anybody works the next morning, which is the bar we are trying to clear.