TrendSift Google Trends rising searches · products / sites / ads
Keyword detail

Bring

Shopping list application that enables users to create, organize, and share shopping lists with friends and family. Bring offers features such as voice commands, integrated recipes, and organized loyalty cards,

Long-term growth Competitive Evergreen
450KMonthly searches
+3.6%90-day growth
+18.2%12-month growth
FacebookMain platform

History

201520202025

Covers 181 months, 2011-09 to 2026-09 · Peaked in 2026-08; now at 90% of peak

Last 24 months

What to build with it

Monthly searches: 450,000 · 90-day growth: +3.6% · 12-month growth: +18.2%

The history spans 181 months; current interest is 90% of the historical peak.

"Bring" already has players, which proves the demand: do not clone it, build the alternatives comparison page and capture "Bring alternative" searches.

Ship the smallest version, validate with real search traffic, then decide whether to add features.

Metric

MetricValue
Estimated monthly searches450,000
90-day growth+3.6%
12-month growth+18.2%
Listed for75 months
CarrierWebsite / App / SaaS
FormConsumer app
Opportunity typeScaled
StageLong-term growth
WindowCompetitive
Seasonality22%
Volatility5%

Channel mix

Facebook7.4M
Instagram5.9M
YouTube1M
TikTok974K
LinkedIn738K
Pinterest706K
Reddit613K
X135K

Social mentions by channel. The leading one is usually the cheapest place to start.

Score breakdown

Growth6430%
Scale4830%
Stability10018%
Freshness012%
Coverage8510%

Opportunity score:60.2 / 100

Related opportunities

Frequently asked questions

What is the monthly search volume for Bring

About 450,000 searches per month (estimate); +3.6% over the last 90 days.

Is Bring better for a website or a product

It mainly comes down to the carrier and the form. Digital product: delivered online, so acquisition cost and monetisation matter most.

Search interest comes from Google Trends. Monthly volume is an estimate converted with standard keyword-tool methodology, while growth and scores are computed by us from the historical curve. About the data