- Women's Fashion
- PROSPECT
- NEW · every 48h
- 1/day
- https://jessanneboutique.com/
Step 3.1 · Keyword harvest & classification
- What happens
- Collect candidates from four sources, deduplicate them against the shared volume cache, work the remaining misses through PinClicks, then classify: parent interests, generic keywords, topic clusters, seasonal type and publishing windows.
- Where
- Pinterest search bar and bubbles, the interest taxonomy in this dashboard, competitor annotations, and a PinClicks session for the volume lookups.
- Owner
- Media buyer
- Done when
- A classified keyword bank where every term has a cached volume, a type and a seasonal classification.
Candidates from the search bar
Type the seed keyword and note the suggestions including their order. That order is ranked by volume: a free proxy.
Seed "Casual Outfits" → 11 new, 0 dupes.
Candidates from bubbles
The coloured filters above the search results and the related searches at the bottom.
Bubbles + related → 15 new, 0 dupes.
Candidates from the Interest Sheet
Search the official Pinterest taxonomy in the dashboard. If an interest exists, there is demonstrable audience.
Interest-taxonomy picks → 15 new, 0 dupes.
Candidates from competitor annotations
From the PinInspector exports. Note: annotations are not keywords until they have volume.
Mined 93 annotation candidates → 93 new, 0 dupes.
Recognise a cloaked niche
In sensitive niches Pinterest hides the suggestions. Workaround: run the top 3 pins through PinClicks pin stats and read the annotations there.
Not cloaked — standard search-bar route.
Deduplicate against the cache
Volume is a property of the term, not of the client. Anything already looked up does not need looking up again.
Deduped 141 candidates: 107 hits (76%), 0 stale, 34 misses.
Generate work list
Cache misses only, prioritised. That keeps the manual session manageable.
Queued 34 PinClicks lookups (107 hits saved ~107 lookups).
PinClicks session
Work through the list. Fill in volume per term. If you find interesting related keywords along the way, add them: that is where the good finds are.
PinClicks: queue cleared; +4 related finds.
Assign parent interests
The taxonomy threads. At least five. These become your board names.
Parent interests: Women's Fashion, Women's Clothing, Casual Outfits, Everyday Outfits, Fashion Over 40, Fashion Over 50, Women's Dresses, Casual Dresses, Maxi Dresses, Midi Dresses, Boho Fashion, Boho Outfits, Comfortable Fashion, Comfortable Outfits, Chic Casual Outfits, Women's Blouses, Women's Tops, Wide Leg Pants, Women's Jeans, Women's Shoes, Casual Shoes, Seasonal Outfits, Fall Outfits, Summer Outfits, Outfit Inspiration
Determine generic keywords
The test: does this apply to every product? If not, it belongs in a cluster. Five to ten of them.
5 keywords passed the "applies to every product" test.
Form topic clusters
At least three clusters of 10 to 15 keywords. Cluster by product, moment, colour, size, material or season. Moment usually works best on Pinterest.
3 clusters formed (Women's Casual Dresses, Comfortable Everyday Outfits, Boho Chic Fashion).
Seasonal classification
Evergreen, seasonal or micro-trend, read from the curve in Pinterest Trends. Micro-trends never become a board.
Seasonal classified: 12 (0 MICRO_TREND excluded from boards).
Calculate publishing windows
Six to ten weeks before the peak. For Black Friday and Christmas, earlier still. Publishing too late is the most common mistake.
Computed ramp-up windows for 2 seasonal terms (peak - 10 weeks, the start of the 6-10 window).
Align keywords with the client
Some terms perform well but clash with the positioning. Better to know now than afterwards.