Optimization

Re-running optimization

Reprocess assets under new settings.

Optimization applies to assets as they're processed. Changing a profile, upgrading a plan, or adding a folder does not retroactively reprocess anything — you re-run it deliberately.

When re-running makes sense

You changed the profile. The new balance applies going forward; existing assets keep whatever they got the first time.

You upgraded your plan. A higher tier gives the router more engines to try. Assets that were previously skipped may now find a result — this is the single most common reason to re-run, and it targets exactly the assets that failed before.

You added a location after the fact. Media that existed in a folder before you started watching it needs a one-off run to be processed.

The upstream source changed. If assets were re-uploaded or replaced in your platform, they're new files as far as Inverity is concerned and will be picked up automatically if they land in a watched location.

When re-running does nothing useful

On assets that already saved well. Re-running the same asset at the same profile on the same plan produces the same decision, and consumes volume again for no benefit.

To "try harder" on a skip. A skip under identical settings will skip again. Change something first — the profile, or the plan.

How to re-run

Run optimization on a folder or collection from the dashboard, the same way you process an existing backlog. Inverity works through the assets in that location and applies your current settings.

Re-running consumes volume again

Every asset processed in a re-run is metered at its source size, exactly like a first run. Re-running a large library is as expensive in volume terms as processing it the first time. Scope re-runs to the folders where the change actually matters. See Volume and usage.

A sensible re-run strategy

  1. Scope it. Pick the folders where the change matters — usually the highest-traffic content, or the folders with the worst previous results.
  2. Sample first. Re-run one folder, compare against its previous results, and confirm the change did what you wanted.
  3. Check the volume cost. Note what that folder consumed and extrapolate before widening.
  4. Then widen. Work through the remaining folders in batches.

What happens to the previous optimized file

The re-run result replaces the current file in your platform under the same write-back rules as a first run. In a DAM, it lands as a new version of the asset, so your version history shows the progression and your master is still untouched. See How write-back works.

If your site or CDN caches assets, purge the cache after a re-run or you'll keep seeing the previous version. See Delivery and caching.

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Results and savings