Not directly. SleekRank renders from your data source. If your sheet calls an API or pulls from a quarterly investor report via a connected script, those numbers flow through on the next cache cycle. The scraping or import layer lives upstream of SleekRank, which is responsible for rendering whatever is current in the source consistently across solo and pair pages.

Both page groups read from the networks sheet. The pairs group joins two rows at render time using a slug pair from a pairs sheet. A change to a network row updates every page that references the network, including per-network, pair, and category roll-ups, after the cache window expires.

Define a separate page group with a different URL pattern, source from the same matrix, and filter on the format columns. A /social/short-video/ landing page becomes its own SEO target with the matching subset rendered from the source. Per-monetization or per-audience-size cuts work the same way.

No. The verdict is yours, stored in the sheet. SleekRank does not generate content, it injects content. For longer verdicts that exceed a sheet's column width, store them in a separate JSON file keyed by network slug and join at render time. The render layer is mechanical; the editorial layer is yours.

Yes. Map an image URL column to og:image with the meta type. Each per-network page renders its own social card. Pairing with SleekPixel lets the OG image render dynamically from the row, overlaying network name, MAU, and an icon on a styled background, so OG cards stay aligned with the page data as numbers refresh.

Update a status column to discontinued or pivoted and let the template render a banner via selector mapping. Or remove the row entirely so the URL stops generating, and add a 301 redirect to the closest successor to preserve link equity. Either way, the comparison set keeps reflecting the current platform landscape without manual page edits.

Yes. Store the current threshold in a column and a historical series in a separate JSON file keyed by network slug. The template renders the current number from the main row and an optional history chart from the side dataset. Each threshold change is one row edit, with the historical context preserved so creators can see how a program has evolved.

Yes. Add an affiliate or referral URL column for each network and map it into the call-to-action via selector mapping. Networks without a referral program render a plain link. When a referral program migrates, edit one cell and every page reflects the new URL on the next cache flush.