Most repurposing advice describes a process — pillar, extract, derive — without answering the question that actually stalls people: given the specific thing I have, what should it become? A 40-minute customer interview and a spreadsheet of churn numbers don't want the same destination format. This matrix is the reference: five common source types down the side, five common destination formats across the top, and a plain-language verdict in every cell.
The matrix
| Source ↓ / Destination → | Carousel | Quote card | Text post | Thread | Chart post |
|---|---|---|---|---|---|
| Video | Strong fit — structure maps directly to slides | Strong fit — pull the single best line | Strong fit — the core claim, typed | Good fit if the video argues a point step by step | Only if the video cites a number worth isolating |
| Blog post | Strong fit — headers become slide titles almost unedited | Good fit — needs a genuinely quotable sentence, not every post has one | Strong fit — the thesis, compressed | Strong fit — posts already built for linear argument | Good fit if the post includes original data |
| Podcast | Good fit — works from the transcript's topic order, see our podcast repurposing guide | Strong fit — conversation produces natural quotable lines | Good fit — best for a guest's specific claim | Forced — conversational flow resists linear argument structure | Weak fit — podcasts rarely cite hard numbers cleanly |
| Data / stats | Good fit if there are 4+ related numbers to sequence | Weak fit — a number alone isn't quotable prose | Good fit — one surprising stat, stated plainly | Good fit — a stat plus 3-4 supporting numbers | Strong fit — this is the native format for data |
| Customer story | Strong fit — before/after/result maps to slides cleanly | Strong fit — the exact words, attributed, see our testimonial repurposing guide | Good fit — one sentence of the outcome | Forced — a single narrative rarely survives being split into 8 escalating points | Weak fit — stories are rarely about a number |
Reading the forced cells honestly
Two pairings above are marked forced, and it's worth explaining why instead of just posting the table. A podcast-to-thread attempt usually happens because someone wants a thread that week and picks whatever source is on hand — but conversational audio doesn't have the linear, escalating structure a thread needs, so the result reads like a transcript chopped into tweet-sized pieces rather than an argument. A customer-story-to-thread attempt fails for a related reason: a testimonial's power is almost always in one line, and threads dilute a single strong line across eight weaker ones instead of concentrating it. In both cases, the fix isn't to force the pairing better — it's to pick a different destination for that source and find a different source for the thread you wanted.
The strongest single pairing, and why
Data-to-chart is the least effortful conversion in the whole matrix. There's no voice to preserve, no structure to reduce, no attribution to get right — just an honest visualization of a number that's already interesting on its own. If you have a spreadsheet of anything (usage numbers, survey results, before/after metrics) and you're stuck for content, this is the first place to look.
Using the matrix as a starting point, not a script
The table describes typical strength of fit, not a rule. A phenomenal customer story with a clean three-part arc can make a good carousel and a mediocre one just makes an awkward slide deck — the matrix tells you where to look for a good outcome, not that every source of that type will produce one. Read the row for whatever raw material you're sitting on, start with its strong-fit columns, and only reach for a forced pairing when you have a specific reason to believe this particular piece of source content is the exception.
If you want the operational side of turning any single source into 8-10 posts on a weekly cadence rather than one-off conversions, see the pillar-and-derivatives system in our content repurposing guide.