Turn fragmented pre-purchase journeys into signals that answer when consumer adoption, B2B demand, and KPI momentum are changing.
Built to answer journey, demand, and KPI questions without asking your team to interpret disconnected signals.
American Eagle (AEO)
Signal search
01
Journey
02
Signals
03
Action
Proprietary signal
Intent signal index
Historical with short-term forecast
84
+13 pts
Generate proprietary signals that answer whether the customer journey is improving or weakening before reported metrics move.
TickerTrends vs Wall Street Consensus
| Quarter | TickerTrends | Consensus | Actual DAUs | 1D Price |
|---|---|---|---|---|
| Q2 2024 | 34.36M | 33.56M | 34.1M | +10.53% |
| Q3 2024 | 37.59M | 37.72M | 37.2M | -0.95% |
| Q4 2024 | 40.54M | 41.09M | 40.5M | -16.95% |
| Q1 2025 | 47.51M | 46.00M | 46.6M | +21.61% |
* Results based on historical performance. Past performance does not guarantee future results.
Score the pre-purchase journey before it becomes a tracked metric.
Connect consumer and B2B demand signals to company-level KPIs.
Prioritize companies where proprietary signals are moving faster than expectations.
TickerTrends forecasts are powered by a forward-looking model that scores the customer journey before the point of purchase. By identifying when awareness, consideration, comparison, and buying intent are changing, we surface demand trends well ahead of traditional reporting cycles.
Most data providers rely on lagging indicators like credit card transactions or survey-based purchase confirmations. In contrast, TickerTrends detects pre-purchase intent-allowing teams to track demand inflections, anticipate KPI surprises, and make higher-conviction decisions earlier in the cycle.
Access real-time intelligence on hundreds of companies with our KPI forecasts and metric trackers that update continuously.
Total companies tracked
KPI forecasts
Metric Trackers
Choose Core when you want limited raw data to analyze yourself. Choose the KPI Forecasting Suite when you want TickerTrends to structure, model, forecast, and deliver the answers.
For Individual Researchers
A lighter self-serve product for researchers who want limited access to raw or unstructured pre-purchase datasets and prefer to run their own analysis.
One-week Core trial available
Modeled Answers For Analysts
Structured signals, KPI forecasts, revisions, alerts, dashboards, CSV exports, and API options for analysts and teams.
Contact us for a custom demo and pricing
Search any ticker, product, keyword, or category and see the proprietary journey signals connected to it.
TickerTrends turns fragmented customer behavior into proprietary answers about awareness, consideration, competitive switching, and likely KPI impact.
Use those signals to monitor B2B demand and consumer adoption without manually stitching together fragmented evidence.
Monthly active users versus consensus
Latest actual
+6.2% YoY
TT forecast
Consensus 179M
Vs consensus
+2.2% above street
Discover the latest emerging trends related to publicly traded companies through real-time tracking and analysis of social media, web behavior, and search patterns.
Track trending terms like social media hashtags, websites, and search keywords, with real-time insights from hundreds of thousands of data points.
Constantly updated through crowd-sourced keywords from our user base, the dataset grows stronger as more users engage, giving you a cutting-edge advantage.
TickerTrends generates structured answers about consumer behavior, B2B demand, company KPIs, and competitive momentum.
Signals update continuously, so teams can monitor demand shifts between survey cycles, channel checks, and interview programs.
Behavioral coverage reflects a larger market sample and is less dependent on narrow respondent pools or self-reported answers.
Ask across companies, products, competitors, categories, and B2B workflows without commissioning a new bespoke research project.
Pre-purchase activity can surface demand inflections before purchases, card data, reported KPIs, or revenue confirms the move.
Turn fragmented pre-purchase journeys into comparable proprietary signals that can be tracked across companies, products, and categories.
Answer where consumers are discovering, considering, and switching before purchases show up in lagging reports.
Translate business buying journeys into company-level signals for enterprise software, services, industrial demand, and workflow adoption.
Map products, competitors, use cases, and buying questions back to the tickers and business lines teams actually monitor.
Separate durable demand from one-off spikes by scoring persistence, acceleration, seasonality, and journey-stage confirmation.
Compare brand, product, and category momentum across peers to see when consideration is shifting from one company to another.
Convert proprietary intent signals into leading KPI indicators, revision signals, and alerts that show what deserves deeper research.
Build bespoke trackers around the exact consumer or B2B journey questions your team cares about, from launches to category inflections.
Start with public coverage or request an enterprise demo for custom consumer and B2B trackers.
Start freeFollow the proprietary signals that answer what users are doing before purchases, contracts, and reported KPIs.
Detect when awareness, consideration, and buying intent start accelerating before sales data confirms it.
Track enterprise interest across software categories, vendors, use cases, and workflows to spot demand inflections earlier.
Compare proprietary signals across brands and peers so teams can see when attention, consideration, and share are shifting.
Turn pre-purchase activity into tracked indicators for users, bookings, traffic, revenue drivers, and other material metrics.
Measure whether launches, campaigns, pricing changes, and news events create durable intent or just short-lived noise.
Trigger investigation when tracked intent breaks trend, diverges from peers, or contradicts consensus expectations.
Use TickerTrends to monitor the B2B or consumer demand signals behind your thesis.
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TickerTrends is a pre-purchase intent tracking platform that generates proprietary consumer, B2B, and KPI signals from fragmented customer journeys.
Our platform is designed for investors, analysts, operators, and research teams that need to monitor consumer adoption, B2B demand, competitive momentum, and company-level KPI inflections.
We map journey behavior to companies and products, score signal quality, and look for persistent movement across awareness, consideration, comparison, and buying intent before surfacing a tracker or forecast.
Raw feeds leave teams to clean, map, and interpret fragmented evidence. TickerTrends delivers proprietary trackers, competitive comparisons, KPI signals, and alerts that are already tied to a company or market question.
Yes. TickerTrends Core includes a one-week trial for selected raw and unstructured datasets. KPI Forecasting Suite access can be requested for forecasts, revisions, dashboards, alerts, and API access.
Yes. KPI Forecasting Suite users can request API access, custom alerts for forecast updates, and integrations for research platforms or quantitative models.
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Comprehensive coverage across asset classes with continuous market monitoring.