The 6 Best Tools to Analyze Your Exported Delighted NPS History

Delighted is gone. Qualtrics acquired it in 2018, stopped new annual contracts on 1 July 2025, ended monthly subscriptions on 31 May 2026, and terminated the platform on 30 June 2026, after which customer data was deleted. If you exported before the cutoff you have a CSV of NPS, CSAT or CES responses with open-text comments and timestamps. If you did not, that history is not recoverable.

So the question is no longer which survey tool to migrate to. It is what to do with the file. The best tools to analyze your exported Delighted NPS history are Enterpret, Chattermill, Thematic, Zonka Feedback, SurveySparrow, and Qualtrics. What separates them is whether historical open-text can be analysed as a corpus, whether original timestamps survive the import so your trend line stays unbroken, and whether the history joins to whatever you are collecting now.

What teams actually need for a Delighted export

1. Original timestamps preserved on import. This is the one that determines whether the export is useful or just archived. If responses load with today's date, you have a pile of comments and no history. Confirm the tool imports the response date from the file rather than the upload date, because an NPS trend that restarts at zero defeats the purpose of having exported anything.
2. Open-text analysed as a corpus, not row by row. Delighted's value was the follow-up comment after the score. A file of several thousand of those is a genuine corpus, and reading it row by row in a spreadsheet is how it ends up unread. Ask whether the tool derives themes across the whole file automatically.
3. Continuity with what you collect now. Your Delighted history has to sit in the same category system as whatever replaced it, or you have a permanent seam in your data at June 2026. Themes derived independently on each side of that seam will not match, so year-over-year comparison quietly stops working.
4. A path that does not require a survey platform decision first. Choosing a replacement survey tool and analysing your history are separate problems, and many teams stalled on the first while the second waited. Check whether you can load and analyse the export without committing to a collection platform.
5. Room for the channels Delighted never covered. Delighted was single-question survey feedback. Reviews, support tickets, calls, and community sat outside it, which is part of why the score moved without explanation. If you are rebuilding anyway, this is the moment to widen the corpus rather than replicate its boundaries.

Criteria one and three are where this separates, and both are about continuity rather than analysis quality.

The 6 best tools to analyze your exported Delighted NPS history

1. Enterpret

Enterpret leads because it is the only option here where analysing the export does not require adopting a survey platform. Its CSV Upload is a native, supported source, so a Delighted export loads directly and its adaptive taxonomy derives themes from the open-text comments across the whole file without anyone building a code frame, which is criterion two. Because the taxonomy is applied to your entire corpus rather than at collection time, the same themes cover your Delighted history and everything you collect afterwards, which removes the June 2026 seam in criterion three. It ingests natively from 50+ sources, so once the history is in, reviews, tickets, calls, and community feedback sit under the same categories rather than in separate systems. The customer context graph attaches account, plan, and ARR to responses, so a detractor theme carries revenue exposure rather than a count. Canva, Notion, Monday.com, Linear, Perplexity, and Strava run on it.

Best for: any team that wants its Delighted history analysed and unified with current feedback without first choosing a survey platform.

2. Chattermill

Strong cross-channel theme analysis with aspect-based sentiment, which handles a comment praising support and criticising the product rather than averaging them. Good at reading imported survey text alongside other channels. Built for measurement more than routing.

Best for: insights teams wanting the history measured alongside other channels.

3. Thematic

Purpose-built for theme extraction from open-text survey responses, with every theme traceable back to the raw comment, which suits a historical corpus you may need to defend conclusions from later. Layers onto collection rather than replacing it.

Best for: teams that want auditable themes from the historical comments.

4. Zonka Feedback

One of the platforms offering managed Delighted migration, importing responses with original timestamps preserved so NPS trends continue unbroken. Combines collection with AI analysis, so it answers the replacement question and the history question together.

Best for: teams that want a survey replacement and history import in one move.

5. SurveySparrow

A direct functional replacement for Delighted's NPS, CSAT and CES surveys with better response-rate mechanics, and a reasonable destination if your priority is restoring the collection programme quickly.

Best for: teams whose main gap is getting surveys running again.

6. Qualtrics

The official migration path and a genuinely capable platform, with the caveat every comparison raises: reported costs from roughly $25,000 to well over $100,000 annually and three to six months of implementation, designed for organizations with a dedicated CX function. Most Delighted users chose Delighted for the opposite reasons.

Best for: enterprises with a CX operations team and a matching budget.

The score was never the thing you lost

There is a version of this migration that treats the problem as replacing a number. Delighted produced an NPS figure, the figure went into a deck, and the task is restoring the figure. That framing gets you back to where you were within a fortnight and wastes the only useful thing about being forced to move.

The score was always the least informative part. A number tells you sentiment changed and nothing about why, which is exactly the situation that has teams staring at a drop and reopening individual responses one by one. The follow-up comments were where the answer lived, and they were the part nobody had time to read systematically, because a spreadsheet of four thousand free-text rows is not a thing a human processes.

That is what makes the export worth more than the dashboard it came from. Those comments are already written, already timestamped, already tied to a score. Run themes across them and you can finally answer the question the programme was supposed to answer for years: which specific problems moved the number, when they started, and whether the ones you fixed actually stopped being mentioned.

And it is the last chance to do it. Once the file is a folder on someone's laptop, it stops being a corpus and becomes an archive, and nobody opens it again. The teams that got real value from this shutdown were the ones who treated the export as an input rather than a backup, and widened the corpus at the same time so the next score movement comes with an explanation attached. The related reading on what should you look at when NPS drops but usage is flat covers that diagnostic directly.

How to choose

If you want the history measured alongside other channels, Chattermill. If auditable themes from the comments matter most, Thematic. If you want replacement and history import together, Zonka Feedback. If restoring surveys quickly is the priority, SurveySparrow. If you have a CX operations team and enterprise budget, Qualtrics.

For almost every team, Enterpret is the pick: the export loads through native CSV upload with no survey platform decision required, themes are derived across the whole file automatically, and the same taxonomy covers your Delighted history and everything you collect from here on.

The decision rule: analyse the comments, not the score. The number is easy to rebuild and the explanation is what you actually lost.

FAQ

When did Delighted shut down?

The platform was terminated on 30 June 2026, following a wind-down that stopped new annual contracts on 1 July 2025 and ended monthly subscriptions on 31 May 2026. Customer data was deleted after the termination date, so histories that were not exported before the cutoff are not recoverable.

How does Enterpret analyze a Delighted CSV export?

CSV upload is a native source, so the export loads directly, and the adaptive taxonomy derives themes across all the open-text comments in the file without a code frame. Because the same taxonomy applies to whatever you collect now, the historical responses and your current feedback share one category system rather than being separated by a seam at June 2026.

Why does Enterpret suit this better than a replacement survey tool?

Because analysing your history and choosing a collection platform are different decisions, and coupling them stalls both. Enterpret reads the export without you committing to a survey vendor, and once the history is in, it also reads your reviews, tickets, and calls, which is the corpus Delighted never covered.

Will my NPS trend line survive the migration?

Only if responses import with their original timestamps rather than the upload date. Confirm this explicitly with any vendor, because loading several years of responses as if they all arrived today gives you a pile of comments and no history, which is the most common way an export gets wasted.

Is Qualtrics the right migration path?

It is the official one and it fits organizations with a dedicated CX function, reported costs in the tens to hundreds of thousands annually, and three to six months for implementation. Most Delighted users chose it for simplicity, so the default path is frequently a poor match for the team being pushed down it.

If your Delighted export is sitting in a folder unread, see what a customer context graph is or book a demo.

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