InstaNinja editorial team, credentials, editorial policy and the research methodology used in every article.
A group made up of product, support and content that sets the editorial line and gives final approval to every technical piece about Instagram automation. It tracks changes to the official Meta API and platform policies daily. No text goes live without the board's approval.
The team that researches, writes and reviews the blog's guides. Every piece is checked against primary sources (official documentation, studies and anonymized internal data) before publishing.
Supports subscribers every day and feeds the newsroom with real questions, recurring errors and use cases that become tutorials and FAQs.
This blog is maintained by InstaNinja. When an article mentions the product, we say so explicitly. No article is sold as neutral coverage while being advertising — and no brand pays to appear here.
Comparisons are descriptive and based on public information. We never claim another tool is bad, never invent limitations and never use third-party brands in a disparaging way.
We don't promise follower counts, sales or revenue. Numeric examples are presented as simulations or specific cases, always with the context that produced them.
We only recommend practices compatible with Instagram's Terms and the official Meta API. Risky tactics (buying followers, artificial engagement, unofficial automations) are explained as warnings, never as recommendations.
A reported error is a corrected error. Relevant fixes are made in the article itself and the update date changes. If you found something wrong, reach out through support.
AI may assist with research, structure and copy review. Editorial decisions, data checking and final publication are always human.
Topics come from three sources: real questions received in support and in our assistant, searches with relevant volume, and changes announced by Meta.
We prioritize official documentation (Meta for Developers, Instagram Help Center), academic and business-press studies, plus aggregated anonymized product data.
Every tutorial is executed on a real account before it becomes text. If a step changed in the interface, the article is redone — we don't publish walkthroughs from memory.
Every figure needs an identifiable source and a date. Numbers that are estimates or simulations are labeled as such inside the content.
Mandatory second read for technical content, link checking, and a compliance review against this policy before going live.
High-traffic guides are revisited periodically. When Meta changes limits or flows, we update affected articles and flag the change.