Choosing a Deletion Scope: Everything, By Date, or By Risk

How the main scopes differ

Scope	How it selects	Strength	Cost
Delete everything	All historical posts regardless of content	Exposure drops to zero in one pass	Irreversible, timeline empties out
Delete by date	Before a date, or within a range	Simple to run, easy to split into batches	Misses the same risk outside the range
Delete by risk	Based on flagged categories in the report	Highest hit rate, normal posts survive	Depends on report accuracy
Delete by keyword	Matching specific words or tags	Good for one topic at a time	Needs repeated tuning, over-deletes

Deleting everything fits the case where you are leaving the platform. If the account will not be used again, clearing the timeline is a reasonable endpoint, though it takes normal content with it.

Deleting by risk suits most people. It does depend on trusting the report, so spot-check a handful of flagged items first and confirm the categories match your own reading of the posts.

When a date range is enough

A date range handles traces tied to a period. If you are about to change jobs and want student-era posts pushed down, or moving city and want check-ins with the old address cleared, the goal is already bound to time and a date cut matches it directly.

It is a poor main strategy for risk. Risky items are not evenly spread: one person may post location-heavy content in a period that is not the one they wanted to remove. Run a check first, look at how flagged items distribute across years, and set the cut from that instead of from memory. For how timestamps come out of the archive, see parsing an archive in the browser.

Watch the boundary as well. When you set a cut before a given date, tools differ on whether posts from that day are included. After setting the range, look at the estimated count and check it against your own sense of the history before starting.

Three checks once the scope is set

1. Confirm the estimated count. Tools usually show how many posts this run will touch. If the number is far above or below expectation, stop and inspect the range settings.
2. Confirm the archive opens. Check that the ZIP opens cleanly and the files inside are complete. Keep it on local storage rather than a synced folder.
3. Confirm the job can be stopped. Look for pause and resume support. The smaller the scope, the easier it is to misjudge, and a stoppable job covers that. See how pause and resume work.

Those three checks take under ten minutes and prevent most irreversible mistakes.

Using two scopes together

In practice the two approaches often combine. Use the report to mark the risk categories, then split the work into two or three date-based batches: run the earliest batch first, watch how the job behaves and what the result looks like, then move on.

If the goal is a lower score, handle the identity category first regardless of which years those posts fall in. If the goal is a cleaner-looking timeline, deleting by date is more direct. You can pursue both, just do not mix them inside a single run.

About Digital Footprint Health

Digital Footprint Health (digital-footprint-health.shop) produces the list before anything is removed. Upload your X data archive and it parses every tweet on your own device, returning a score from 0 to 100 plus flagged items by category; the check is free and read-only. Once you trust the list, set your deletion scope by risk category, with options and pricing on the pricing page. Run a check from the homepage, and the end-to-end walkthrough lives at bulk deletion, step by step. More reading is on the blog.