SoftGuide > Functions / Modules Designation > Visitor statistics

Visitor statistics

What is meant by Visitor statistics?

"Visitor statistics" refer to data and information about the visitors to a website or digital offering. These statistics provide insights into visitor behavior, their interactions with the website, and other relevant metrics that help understand and improve the performance of the website.

Typical features of software in the "visitor statistics" area may include:

  1. Visitor numbers: The software captures the total number of visitors who have visited the website, as well as the number of unique visitors over a specific period of time.

  2. Page views: The software tracks which pages visitors have visited on the website and provides information about the number of page views per page.

  3. Dwell time: The software measures the average dwell time of visitors on the website to understand how long they stay on the page and which content interests them.

  4. Visitor origin: The software provides insights into the sources from which visitors came to the website, whether through search engines, social media, direct access, or referrals from other websites.

  5. Geographical data: The software provides information about the geographical origin of visitors, including countries, regions, and cities, to understand where the audience is coming from.

  6. Devices and browsers: The software captures data on the devices and browsers used by visitors to adapt the website to various screen sizes and technical requirements.

  7. Conversion rates: The software analyzes conversion rates to understand how effectively the website converts visitors into customers or leads.

The function / module Visitor statistics belongs to:

Statistics/Forecast

analyses of covariance
Article hit and rivet lists
Bayesian analysis
Before-and-after comparisons
Budget information
Business Impact Analysis
Capacity evaluations
Cashier hit list
Classification and prediction
classification and regression trees
Cluster analyses
Clustering
Collaborative Planning
combinatorial problems
comparative statistics
Container accounting
Correlation matrix
Correlations
Cost analysis and budget control
Course participant and learning statistics
Course statistics
Customer and sales data analysis
Customer evaluations
Customer statistics
Econometric and statistical analyses
Energy price analysis
Error analysis
Excel export
Financial market statistics
Financial reporting
Fluctuation statistics
forecast result
Forecasting
Forecasting and planning
Gibbs sampling
Key figure simulations
KTL evaluation
Linked data management
liquidity analysis
Management evaluations
Mandate analysis
matrix calculus
Mean values
Measurement data
Metropolis algorithm
Movement profiles
Network Statistics
Order tracking
Performance analysis
Permutation test
Personnel key figures
Plausibility check
predictions and model simulation
Predictive analytics
Predictive Modeling
previous year view
Probabilities of occurrence
Probability analysis
Probability distributions
Probability functions
Projection comparison
Random generator
Regression analysis
Regressions or equalization calculations
Resume analysis
Risk analysis
Sales comparisons
Sales hit lists
Sales lists
Sales statistics
Sales statistics
Sampling system
Seller hit list
Sequence analysis
Shopping cart analysis
Signal statistics
Six Sigma
Statistical Analysis
statistical calculations
statistical cost planning
statistical methods
Time data, time series, calendar
Time series analyses
Travel expenses
Trend value analyses
Utilization analysis according to loss classes
Weighting functions
What-if analyses

Software solutions with function or module Visitor statistics:

4ALLPORTAL- DAM Software - Digital Asset Management
Adobe Commerce
door2parts - Ersatzteilkatalog, eCommerce und Shop Lösung
expeedo
eZentrum - Internetshop
Prismamote Complete, effective software for retail and jewelers.
SOG ERP, WMS und E-Shop
Technical Wholesale
wy.by - booking and reservation system