When dashboards are too inflexible for meaningful marketing management, spreadsheets are too time-consuming,
each channel has its own specifics but you need to keep the team on the same page - InContekst offers a cost-effective solution.
Collect all marketing related metrics in a centralised database and harmonise them by needs / product categories, creative idea, format, and other attributes. Know how much you spent, how many impressions and views you received for each category and group, how many sales or leads you generated across platforms and distribution channels. Easily correlate data that otherwise reside in separate siloes - for example, pull advertising and sales side by side in a time series, by category.
See the types of data the system can process and how it connects together . Channel drill-down for website analytics.
Explore the data with flexible pivots, charts, drill-downs, and statistics with point-and-click, without exporting to other software. Save days of work and produce deeper insights comparing to spreadsheet-based analysis. For example, explore behaviour of people from different marketing channels, needs categories, and campaigns. Or explore sales from multiple outlets, store formats, and geographies.
See example of sales data exploration.
Measure impact of different channels and marketing initiatives on sales, leads, and other target outcomes across online and offline channels. With multiple channels in the mix, channel-specific analytics often provides incorrect results. By using marketing mix modelling InContekst can report on incremental outcomes generated by each channel and initiative. This method does not require tracking visitors and is equally applicable to online and offline channels.
What is marketing mix modelling and why should you care? This article discusses the two main methods of attribution, explains why platforms may disagree with each other and what makes MMM more robust and accurate. Please also visit the Gallery for samples of reports and a quick demonstration of MMM implementation in the system.
Define your own metrics using formulas or let us program the most complex computations for you. If you have an internal data science team, they can connect to our system programmatically.
See more technical information about the platform.
Dashboards – use predefined dashboards within our system, connect your favourite dashboarding tool to our pre-processed and harmonised database, create your own dashboards within the system without programming, or let us create them for you. Our dashboards allow easy segmentation by various parameters. They are logically connected so that together they tell you the story of your business performance and customer behaviour
See examples of reports and dashboards at the Gallery. Special mention for website analytics which, despite using stock-standard GA4 metrics, can uncover insights that you would be hard-pressed to produce otherwise.