Pinterest engagement is measured in saves and outbound clicks. Reactions and comments exist on the platform, but they carry very little weight — for distribution or for your business. A pin with 200 saves, 40 outbound clicks and zero comments is a strong pin; a pin with 50 comments and three saves is a curiosity.
That difference is not cosmetic. Saves and clicks sit at different points in the funnel, and almost every optimisation you can make favours one over the other. A pin engineered to be saved often gets clicked less. A pin engineered to be clicked often gets saved less. Knowing which one you are trying to move — before you design the pin — is most of the work.
What Pinterest Actually Counts
Pinterest bundles several distinct actions into a single "engagements" total in its analytics, then divides that by impressions to give you an engagement rate. The bundle hides the interesting part, because the actions inside it mean very different things.
| Action | What it signals | Funnel stage | Optimise for it? |
|---|---|---|---|
| Impression | The pin was served — nothing more | Distribution | No, but it gates everything |
| Pin click | Enough curiosity to open the pin full size | Interest | As a diagnostic |
| Save | "I want this later" — filed into a collection | Consideration | Yes |
| Outbound click | "I want this now" — a visit to your site | Action | Yes |
| Reaction / comment | Mild approval, weak signal | Noise | No |
The two that matter compound differently. A save keeps working after the fact: it attaches your pin to somebody else's board, which gives Pinterest another topical context to distribute it from, sometimes for years. An outbound click does nothing for distribution — it just sends you a visitor. One builds the asset, the other cashes it in.
For the mechanics of how those signals feed back into distribution, how the Pinterest algorithm ranks and redistributes pins covers the ranking side in more depth than I will here.
The Benchmark Nobody Can Honestly Give You
You will find published "average Pinterest engagement rates" quoted with a decimal point of confidence. Treat them sceptically. They rarely disclose whether they used saves only or the full engagement bundle, whether the denominator was impressions or followers, or what mix of accounts and niches they sampled. A home-decor account and a B2B SaaS account are not on the same scale, and neither is a pin in week one versus a pin in month nine.
The benchmark that is worth having is your own. Pull 60 to 90 days of pin-level data from Pinterest analytics and record, per pin:
- Impressions
- Saves and save rate (saves divided by impressions)
- Outbound clicks and outbound click rate
- Which board it went to, and the primary keyword
Then use the median, not the mean — a single breakout pin will drag an average far enough to make every subsequent pin look like a failure. That median is your line. Everything below is a candidate for change, everything above is a template to reuse. If the terminology is fuzzy, what engagement rate means and how it is calculated sets out the general formula, and reading Pinterest analytics for impressions, saves and outbound clicks walks through where each of these numbers lives in the native dashboard.
One caveat that catches people out: Pinterest performance is slow. A pin's first fortnight is a read on early velocity, not on its lifetime value. Judge pins against each other over the same window, never against an absolute target.
Ranking the Levers
Five levers do most of the work. They are not equally powerful, and they do not move the same metric.
| Lever | Primary metric it moves | Secondary effect | Time to read a result |
|---|---|---|---|
| Keyword match | Impressions | Everything downstream | 2–6 weeks |
| Text overlay | Pin clicks, outbound clicks | Saves | 1–2 weeks |
| Pin format | Determines which metrics are even possible | Impressions | 2–4 weeks |
| Board context | Saves | Long-tail impressions | 4+ weeks |
| Timing | Early impression share | Marginal | 1–2 weeks |
Keyword match: moves impressions, which gates everything
Nothing else matters if the pin is not surfacing. Pinterest reads your pin title, description, board name and the text rendered on the image itself to work out what the pin is about, then matches it to what people are typing in the search bar. The most common failure I see is a pin described in brand language rather than searcher language: "Our Winter Capsule Edit" instead of "winter capsule wardrobe for cold climates".
Match the phrase, do not stuff it. One primary phrase in the title, the same phrase used naturally in the first sentence of the description, and a board whose name is topically adjacent. Writing pin descriptions that earn clicks rather than just filling the field covers the description mechanics, and the Pinterest SEO fundamentals covers phrase selection.
This is the highest-leverage lever and the slowest to read. Give it six weeks before you decide.
Text overlay: moves pin clicks and outbound clicks
The text on the image is your headline, and it decides whether somebody taps. Two patterns behave predictably:
- Complete-answer overlays ("7 winter capsule pieces that work under €40") earn saves. The pin itself is the useful artefact, so people file it.
- Curiosity-gap overlays ("The one capsule mistake that makes everything look cheap") earn outbound clicks. The pin cannot resolve itself, so the tap has to happen.
If your saves are healthy and outbound clicks are flat, your overlays are too complete — you are giving away the whole answer on the image. If clicks are decent but saves are near zero, your overlays are too thin to be worth filing. Legibility comes first either way: a pin that cannot be read at thumbnail size fails both tests, which is the practical core of designing pins that actually get tapped.
Pin format: decides which metrics are even available
Format is less of a lever than a constraint. A pin without a destination link cannot generate outbound clicks — that is arithmetic, not strategy. So before you compare formats, be honest about which metric each one is capable of producing in your setup as of December 2024.
Beyond that, static image pins remain the workhorse for search-driven saves, while video suits demonstrations, before-and-afters and anything where motion carries the value. Video will often show a strong engagement number driven by views rather than by saves or clicks, so check the breakdown before celebrating. When video pins are worth the production cost has the trade-offs.
Board context: moves saves, slowly
The board a pin lands on tells Pinterest what neighbourhood it belongs to, and it tells a human whether the pin fits their own collection. A tightly themed board earns more saves per impression than a general one, because the audience arriving is already sorted.
Two fixes worth making before you touch anything else: rename vague boards ("Inspo", "Stuff We Love") to searchable phrases, and stop pinning the same content across five boards to squeeze out extra impressions. Structuring boards so each one builds topical authority goes further, but the short version is fewer boards, tighter themes.
Timing: real, but the weakest of the five
Publishing when your audience is active affects early impression share, which affects how quickly a pin accumulates the initial signals. On a platform where pins keep surfacing for months, this is genuinely the smallest of the five levers — but it is also the cheapest to fix, because it costs nothing to move a scheduled slot. Start from the best times to post on Pinterest, then verify against your own data rather than trusting the general pattern.
Run It as a Two-Week Experiment
Pick one keyword cluster you already rank for at least modestly. Build five pins pointing at the same destination, varying exactly one lever each, and schedule them across the two weeks so no two go out on the same day.
- Control — your current standard pin, unchanged
- Keyword variant — same design, title and description rewritten to a searcher phrase
- Overlay variant — same keyword, curiosity-gap headline instead of a complete answer
- Format variant — same message in a different format
- Board variant — same pin, posted to a tighter, better-named board
This is where a scheduler stops being a convenience and starts being test infrastructure. In SocialKit you can lay the whole set out on the visual content calendar alongside the rest of your Pinterest publishing plan, stagger the slots using the best-time recommendations, and let them auto-publish, so the only thing varying between pins is the lever you chose — not whether you remembered to post on Thursday. Post analytics show you how each scheduled pin performed; for the save and outbound-click breakdown itself, stay in Pinterest's native analytics, which is where those two metrics are reported in full.
Worth saying plainly: SocialKit does not do social listening or comment moderation, so it will not tell you what people are saying about your pins. It will tell you what you published, when, and how it performed — which is all this particular experiment needs.
Reading the Results Without Fooling Yourself
At day 14, do not pick a winner. Rank the five pins on save rate and outbound click rate separately, and note the ordering. Then check the same ordering again at day 45. If the ranking holds across both reads, the lever is real. If it flips, you measured noise — which happens often at low impression volumes, and is why single-pin comparisons on a small account are close to worthless.
Three rules that keep the read honest:
- Change one thing per pin. A new design and a new keyword together tell you nothing.
- Compare rates, not totals. A pin that got more impressions will get more of everything.
- Never judge a Pinterest test on likes. They will move independently of the metrics you care about.
The same discipline applies on every other channel; how to structure a fair A/B test on social posts generalises the method beyond Pinterest.
Start Here
If you have one afternoon this week, do these in order:
- Export 60–90 days of pin data and calculate your median save rate and outbound click rate. That is your line.
- Sort your pins by save rate. Look at the top five and write down what the overlays have in common.
- Sort by outbound click rate. Do the same. The two lists will usually not overlap much — that gap is the save-versus-click tension in your own data.
- Rename any board whose title is not something a person would type into a search bar.
- Build and schedule the five-pin experiment above, staggered across two weeks.
- Diarise a check at day 14 and a second at day 45. Only act on levers that rank the same way twice.
Then repeat with the next keyword cluster. Pinterest rewards accumulation more than any other platform — the pins you fix now keep paying out long after the test window closes, which is the whole argument behind treating it as a traffic funnel rather than a feed. And if you want the broader save-and-share mechanics that apply across channels, engineering content people actually file away is the companion piece to this one.