How to Use Pinterest Trends to Plan Content That Actually Ranks

Pinpress Team August 12, 2026 7 min read

Pinterest Trends is a free keyword intelligence tool that shows you what people are searching for on the platform, so you can create content around topics before they hit their peak. If you have been guessing which keywords to target, or reacting to trends after everyone else has already published, this guide gives you a system to get ahead of that.

Pinterest Trends lives at trends.pinterest.com and it is completely free to use. You do not need a paid account or a promoted Pins budget. What you do need is a Pinterest Business account, because some features, including Trend Predictions, are locked behind the business login.

One thing most tutorials skip: access is currently limited to users in the US, UK, Canada, Australia, and Ireland. If you are outside those countries and the tool is not loading correctly, that is why.

It is also worth drawing a clear line between Pinterest Trends and Pinterest Analytics. Analytics shows you how your own Pins and boards are performing. Trends shows you platform-wide search behaviour — what the entire Pinterest audience is looking for, regardless of whether they have ever seen your content. They answer different questions and you need both.

Type any keyword into the search bar and you get a 12-month popularity graph. The Y-axis runs from 0 to 100, but it is an index of relative popularity, not an absolute search volume number. A score of 80 does not mean 80,000 searches. It means that keyword is at 80% of its peak popularity over the period shown. Treat it as a directional signal rather than a hard count.

The Compare button is one of the most useful features here. You can overlay up to four keywords on the same graph, which makes it straightforward to choose between content angles. If you are deciding between "capsule wardrobe" and "minimalist outfits," plot both and see which is trending upward, which is seasonal, and when each typically peaks.

Adjust the time range filter depending on what you need:

  • Past 12 months is good for spotting seasonal patterns and annual cycles.
  • Past 3 months catches fast-rising micro-trends that a full-year view can flatten out.
  • Past month is useful for real-time content decisions but gives you less context.

You can also filter by interest category (Food, Home Decor, Fashion, and so on) to cut through noise when a keyword spans multiple niches. Searching "white" without a category filter returns a mess. Searching it within Home Decor gives you something you can actually use.

How to use the Trend Predictions feature before your competitors do

Inside trends.pinterest.com there is a Trend Predictions tab that most guides ignore. It surfaces keywords that Pinterest forecasts will grow over the next 30 to 90 days, based on year-over-year trajectory. Predicted trends are flagged with an upward arrow and labelled "Predicted to grow" alongside a percentage increase estimate.

The practical use is building your monthly content calendar. At the start of each month, check this tab and identify two or three keywords that fit your niche. Those become your priority content for the next four weeks, published before the topic hits its peak and competition floods in.

Before you commit production time, cross-reference the keyword on Google Trends to confirm the signal exists off-platform too. If both tools point upward, you have a stronger case for investing in that content.

A concrete example: if you spot "Halloween table settings" trending upward in August, you create and schedule those Pins in late August for peak September and October reach. By the time most creators notice the trend, your content already has weeks of distribution momentum behind it.

Pinterest Trends includes demographic filters for gender (Female, Male, Unspecified) and age groups (18-24, 25-34, 35-44, 45-54, 55-64, 65+). These filters change how you read the data significantly.

A keyword can look flat in the overall view but show a sharp upward curve among the 25-34 age group. If that is your core audience, the flat headline number is misleading. The filtered view is the one that matters for your content decisions and your targeting brief.

For categories like fitness or home decor, where audience skew affects both Pin design and copy, run the gender filter before you brief any creative. A "home gym setup" trend skewed heavily male calls for different visuals and language than the same keyword skewed female. Getting this right at the research stage saves a lot of editing later.

A three-phase workflow: discover, validate, and schedule

Running Pinterest Trends without a process leads to scattered content. Here is a repeatable workflow that keeps things systematic.

Phase 1: discover

Each week, run five to ten broad keywords from your niche through Trends. Flag any that show growth above 20% month-over-month or appear in the Predicted tab. You are building a shortlist, not committing to anything yet.

Phase 2: validate

Take your flagged keywords and type each one directly into the Pinterest search bar. Look at the top-performing Pins: note save counts, image style, and whether top results are standard Pins or Idea Pins (the carousel format). This tells you what the algorithm is already rewarding for that keyword and what visual style resonates with the audience searching it.

Phase 3: schedule

Pinterest content needs a two to three week runway to build initial distribution momentum. That means publishing three to four weeks before a trend's projected peak, not the week it arrives. Use Pinterest's native scheduler or a tool like Tailwind to queue content in advance.

A simple spreadsheet keeps this manageable. Track:

  • Keyword
  • Current trend score
  • Month-over-month change
  • Demographic skew
  • Target publish date
  • Pin format (standard or Idea Pin)

Revisit the same keywords every four weeks. A trend that was climbing at score 55 last month might be plateauing at 85 this month, which changes whether you keep publishing on that topic or wind it down.

The data is only useful if it informs what you actually publish. A few specifics that make a difference:

  • Use the trending keyword exactly as it appears in Trends as your Pin title and within the first 40 characters of your Pin description. Pinterest's search algorithm reads titles and early description text most heavily.
  • Check the Related Trends section at the bottom of each Trends result page. These are semantic keywords Pinterest already associates with your main term. Weave two or three of them into your board descriptions to strengthen topical relevance.
  • Match your visual style to what is already performing. If the top-saved Pins for "linen living room" all use light, airy photography, a dark moody aesthetic will work against you regardless of your SEO.
  • Create a dedicated board whose title matches the trending keyword. Board SEO contributes to how Pinterest distributes your Pins into relevant feeds.
  • Prioritise Idea Pins for trend-based topics. The carousel format currently receives algorithmic priority for trending content, making it a better fit for step-by-step or list-style posts tied to a rising keyword.

Most of the errors people make with Pinterest Trends come down to timing and context.

Publishing at peak. When a keyword scores 90 to 100 on the index, competition is at its highest and organic reach is at its lowest. The window you want is the upswing, roughly scores 40 to 70, before the majority of creators pile in.

Ignoring seasonal recurrence. Most Pinterest trends are cyclical. A keyword that peaked last October will very likely peak again this October. Save your trend data year to year so you can plan six months ahead rather than reacting in real time.

Using Trends data in isolation. Pinterest Trends tells you what the platform's audience wants broadly. Pinterest Analytics tells you what your specific audience responds to. Use both together. If a trend-based Pin is getting impressions but zero saves, the topic may be right but the content is missing something your audience cares about.

Only researching broad terms. Head terms like "bedroom ideas" are competitive and vague. Niche long-tail keywords like "small bedroom storage ideas for renters" often show steadier growth curves with significantly less Pin competition, and they are easier to rank for because fewer creators are targeting them precisely.

Frequently asked questions

Is Pinterest Trends free to use, or do I need a paid account?

Pinterest Trends is completely free. You do not need a paid plan or an active ad budget. You do need to be logged into a Pinterest Business account to access the full feature set, including Trend Predictions.

How far in advance should I create content based on Pinterest Trends data?

Aim to publish three to four weeks before a trend's projected peak. Pinterest content typically needs two to three weeks to build distribution momentum, so publishing too close to peak means you miss most of the organic reach window.

Can I use Pinterest Trends for keyword research the same way I use Google Keyword Planner?

They serve similar purposes but measure different things. Pinterest Trends shows relative popularity of searches within Pinterest, while Google Keyword Planner shows estimated search volume across Google. Use Pinterest Trends for platform-specific content planning and cross-reference with Google Trends to confirm a topic has broader demand before investing heavily in it.

What does the Pinterest Trends graph percentage actually measure — is it real search volume?

The Y-axis is a relative index from 0 to 100, not an absolute search volume figure. A score of 80 means the keyword is at 80% of its peak popularity over the time period shown. Treat it as a directional signal for trending momentum rather than an exact count of searches.

How often does Pinterest update the data shown in Pinterest Trends?

Pinterest does not publish an exact refresh schedule for Trends data publicly, but the tool generally reflects recent search behaviour and is updated on a rolling basis. Checking weekly gives you a reliable view of momentum changes without over-indexing on day-to-day noise.

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