Do you actually know what users are doing and how they are inter-acting with your website?

We have many tools to analyse customer behaviour. You may have an idea of the number of visits or hits to your website making use of statistics but what are users really doing when they get there? Is your blue button really drawing attention? Are people finding the information that they need?

Statistical Analysis

We will dig deeper into your webstats. What keywords are users searching for in Google?... are you getting listed correctly? Do you need better keywords to target the right market?

Use real-time visitor data to:
Improve site architecture.
Optimize link & advert placement.
Analyze and Enhance stickiness.
Test and Redesign if needed.

See the bigger picture... instantly

DesignHause uses a heat map to analyse internet customer behaviour.

This technique is used to determine what are people actually clicking on. Redefine your action items.

Is the action button on your website that looks great actually attracting people to that promotional offer?

That design may look good but does it work? With DesignHause you can keep on top of your users interests.

The bigger picture

By understanding all this information we can build up a better understanding of what your visitors actually want and what they are looking for. This information can also be presented to you in a simple report format.

Talk to DesignHause today and learn what your customers are really after.


What is a Heat Map ?

A heat map is a graphical representation of data where the values taken by a variable in a two-dimensional map are represented as colors. A very similar presentation form is a tree map. The term is also used to mean its thematic application as a choropleth map.

Heat maps originated in 2D displays of the values in a data matrix. Larger values were represented by small dark gray or black squares (pixels) and smaller values by lighter squares. Sneath (1957) displayed the results of a cluster analysis by permuting the rows and the columns of a matrix to place similar values near each other according to the clustering. Jacques Bertin used a similar representation to display data that conformed to a Guttman scale. The idea for joining cluster trees to the rows and columns of the data matrix originated with Robert Ling in 1973. Ling used overstruck printer characters to represent different shades of gray, one character-width per pixel. Leland Wilkinson developed the first computer program in 1994 (SYSTAT) to produce cluster heat maps with high-resolution color graphics. The Eisen et al. display shown in the figure is a replication of the earlier SYSTAT design.

There are several different kinds of heat map:

  • Web heat maps have been used for displaying areas of a Web page most frequently scanned by visitors.
  • Biology heat maps are typically used in molecular biology to represent the level of expression of many genes across a number of comparable samples (e.g. cells in different states, samples from different patients) as they are obtained from DNA microarrays.
  • The tree map is a 2D hierarchical partitioning of data that visually resembles a heat map.
  • A mosaic plot is a tiled heat map for representing a two-way or higher-way table of data. As with treemaps, the rectangular regions in a mosaic plot are hierarchically organized. The means that the regions are rectangles instead of squares. Friendly (1994) surveys the history and usage of this graph.

From Wikipedia, the free encyclopedia

Website Analysis | Google Analytics | Usability


Get the Flash Player to see this player.