Is localization working? Metrics, comparisons and when to expand or stop

Decide what success means before you publish

Localized videos serve different goals, and one metric cannot judge them all. A tutorial succeeds if people finish it and stop filing tickets; an explainer on a landing page succeeds if visitors sign up; a training video succeeds if staff complete it and pass the check. Write down, per video or per tier, the one or two numbers that matter and the period over which you will judge them. Without that, almost any result can be framed as success.

Record the investment too: processing cost per language, reviewer hours and any design work. Measurement only helps if you can set it against what the localization cost.

Metrics that match each goal

Reach

Views, impressions and new viewers from the target market. Useful early, but easy to inflate and weak on its own.

Engagement

Watch time, average view duration and retention curves. The clearest sign that viewers understood and stayed.

Audience growth

Subscribers or followers gained from the localized videos, and returning viewers from that market.

Conversion

Sign-ups, trials, demo requests, purchases or enrollments attributed to pages carrying the localized video.

Support

Ticket volume and topics from the market, and how many tickets are resolved by linking a video.

Completion

For training and onboarding, completion and assessment results by language.

Choose from this list per goal. A help-center video does not need subscriber numbers, and a creator channel does not need ticket data.

Segmenting results by language

Measurement fails most often because results cannot be separated by language. How you separate them depends on how you publish:

• Separate uploads per language give the cleanest data, with each version's own views, watch time and retention.
• Multiple audio tracks or subtitle files on one upload are convenient for viewers but can blend the data. Some platforms report audio-track or subtitle-language usage; check what yours provides, since these reports differ and change.
• Localized landing pages with their own URLs let web analytics attribute conversions per language.
• Country is a proxy for language, not a substitute; which languages to translate videos into explains why the two diverge.
• Tagged links (UTM parameters) in localized descriptions and emails attribute the traffic you send yourself.

Decide the structure before publishing; it is hard to reconstruct afterwards.

Setting up a fair comparison

Comparing a localized video's views with the original's is almost always unfair: the original has a head start, an established audience and a long search history. Better comparisons:

1. Before and after in one market: the market's performance on your chosen metric in the months before localization against the months after.
2. Matched markets: two similar markets, one with localized videos and one without, over the same period.
3. Original versus localized within a market: viewers in the target country watching the original against those watching the localized version, where your analytics can separate them.
4. Format tests: subtitles only versus a voice track, for similar videos in the same language.

Run comparisons over the same calendar period where possible, since seasonality and platform changes affect everything at once, and let each test gather a meaningful number of views before reading it.

Example: reading results from a two-language pilot

Support tickets and qualitative signals

Numbers say what happened; comments and tickets often say why. Watch for comments in the target language, especially complaints about terminology, voice pace or subtitles, and ask support staff in the market what customers mention. Fewer how-to tickets for features covered by localized tutorials is one of the most convincing signals available, because it ties video to a cost the business already tracks. For internal and training videos, a one-question survey such as "Was this video clear in your language?" fills the gap where platforms give no data.

Pitfalls in reading localization data

• Judging too early: localized videos often start slowly while search and recommendations catch up.
• Untranslated metadata: a translated video with a source-language title is hard to find, so weak reach may be a discoverability problem rather than a quality one; see translating YouTube titles and descriptions.
• Small numbers: a handful of conversions can swing wildly between months, so read trends, not single months.
• Confounding changes: a price change, product launch or platform update in the same period can explain a result better than localization does.
• Vanity metrics: views can climb while watch time and conversions stay flat.
• Ignoring quality: poor retention may mean a weak translation rather than a lack of interest, so check the transcript before giving up on a market.

Expand, hold or stop: a decision rule

Write the rule down at the start, then apply it at each review:

1. Expand when localized videos meet or approach the target and the cost per result is acceptable: add the next tier of videos in that language, or upgrade the format, for example from subtitles to a voice track.
2. Hold when results are mixed: fix the likely causes (glossary, titles, format) on a few videos and measure for one more period.
3. Stop adding new videos when a fair test, with translated metadata and reviewed translations, still shows little response. Keep existing videos published; they cost nothing to leave up.

Revisit stopped languages once a year, because audiences shift.

Feeding measurements back into mydubly projects

mydubly charges per minute, so the processing cost of each language is easy to set against its results: a 10-minute tutorial with an AI voice track costs 500 credits (50¢) per language, and subtitles with transcripts alone cost 10 credits (1¢). That makes inexpensive format tests practical, such as publishing subtitles first and adding a voice track only where a market responds. The translated transcripts also help diagnose weak results, because a reviewer can read the exact wording behind a retention drop. Credits do not expire, so there is no pressure to spend a budget before results come in. Use the video localization page to produce the next batch.

Next step

Before your next localized release, write down the metric, the comparison and the decision rule for each language, and set up the segmentation in your analytics. Then publish, wait a fair period, and decide. If you have not chosen your first batch yet, video localization strategy covers tiers and budgets, and the video localization page is where to produce it.