# How to use a Righthand with Vimeo

Use Righthand to turn Vimeo engagement data into an editorial review for selected videos.

By Righthand Team · 2026-10-11

Source: https://www.righthand.ai/blog/how-to-use-righthand-with-vimeo

## Quick answer

Use Righthand to turn Vimeo engagement data into an editorial review for selected videos. Preserve the window and metric definitions so viewing activity is not mistaken for sales.

Start with a reviewable deliverable, keeping Vimeo as the accepted home for its records. This guide uses an explicitly approved snapshot or browser read; it does not assume that every provider API action is exposed by your Righthand connection.

## Evidence and access

Vimeo documents engagement-table CSV export and says those engagement analytics are unavailable through its public API. See the [official Vimeo reference](https://help.vimeo.com/hc/en-us/articles/44934439084561-About-engagement-analytics). Provider capabilities and Righthand's available tools are separate checks.

Have the owner supply the chosen video's engagement export and reporting window. Limit access to the approved videos and the intended audience segment. Verify the required tools and owner-approved scope through [Righthand integrations](/integrations); use the supplied packet when a native read is unavailable.

## Define the objects and authority

Include these fields in the working input: video ID, title, report period, plays, engagement columns, export time, source timezone. These are the requested review columns, not a promise that every provider endpoint returns them under those exact names.

Use the CSV route for this workflow. Engagement does not prove why viewers stopped watching or whether they became customers.

| Responsibility | Owner |
| --- | --- |
| Prepare source scope and access | Account owner |
| Organize evidence and proposed next steps | Righthand |
| Approve consequential changes | the video owner |

## Illustrative first-run brief

> Use the owner-provided Vimeo snapshot or approved read-only view. Review five onboarding videos from the supplied engagement CSV. Identify items warranting content review while preserving provider metric names. Do not change distribution or privacy. Run once for the agreed sample, using America/Los_Angeles for the review deadline and preserving source timestamps separately. Return the draft in this conversation by Friday at 3 PM Pacific for the video owner to review. Include source references and missing fields. Do not write records, spend money, change permissions, or send external messages. Stop and report an unavailable source rather than substituting another account.

## Expected result and verification

A video with weaker recorded engagement gets a playback-review question, not a claim that its content caused the difference.

Compare one row and its date interval with the original analytics screen. Record the source cutoff, applied filters, and items excluded from the sample. The reviewer should be able to follow each consequential finding back to an original object. A well-written summary is not evidence that a proposed action happened. If a later write is authorized, verify its specific result separately before changing the task's status.


### Illustrative input and draft output

These synthetic entries show the requested review, not live account results or a provider field schema.

| Source item | Supplied observation | Draft conclusion |
| --- | --- | --- |
| Video A | Engagement export supplied | Summarize defined metrics |
| Video B | Only total plays provided | Completion unknown |
| Video C | Different date window | Exclude from comparison |

## Common failure and recovery

Different periods or metric definitions produce false comparisons. Request aligned exports before calculating movement.

If engagement columns are unavailable, retain the supplied export's actual fields and request the missing report; do not substitute play counts for completion.

## FAQ

### What should the reviewer verify first?

Check video identity, reporting window, metric definitions, and audience filters. The engagement CSV and other statistics may answer different questions.

### How should a repeat run be scoped?

Preserve video IDs, export dates, and matching windows between runs. Keep historical snapshots for comparisons and label missing engagement information instead of claiming API access.

For connection and permission details, use [Righthand Docs](https://docs.righthand.ai). Review [Pricing](/pricing) alongside any separate provider charges before expanding the workflow.