The difference is in the detail!

Data all over the place - in multiple spreadsheets or separate systems?

No way to get a complete view of customers and prospects or understand their true value?

Want to develop and target e-marketing and direct mail campaigns with greater return...

... but lack time, tools or resources?

Then Tech4T can help!

Technologies4Targeting (Tech4T) provide solutions to help companies detect and resolve data issues - however complex - and maximise their customer value by correctly applying analytics and advanced targeting technologies to their marketing and e-marketing.

From a single point of contact we can provide the database marketing and campaign development expertise, on-line prospect targeting and e-marketing solutions, data and any mix of specialist software, support and tailored training needed to meet data enrichment, analysis or data-driven marketing needs - including managing your marketing database.

Direct Marketing

We can help you get the best from your marketing budget - whether spent through e-marketing, direct mail or another channel - and work with you to develop, implement, manage and measure highly segmented data-driven marketing campaigns. 

We do this using a mix of your own and third party data combined with a raft of analytical techniques to fully understand customer behaviour, determine audience profiles and find out which messages or offers prospects and customers do (or don't) react positively towards. 

This information is then used to drive the segmentation/targeting process, the development of new offers, and also to create and test appropriate creative design and copy. For e-marketing, this expands to e-marketing message creation, landing page design and the tracking of any links or web pages e-mail recipients click on.

We can add proactive input to all facets of your DM process and more information about two of our solutions can be found by clicking e-marketing (for our e-mail solution) and AIM (for on-line prospect targeting).

Data and Analytics

At Tech4T we tend to look at data differently from most companies and this is reflected in the methodologies and technologies we deploy. We fully appreciate that when it comes to the data cleaning, enhancement and analysis of your company-wide data, then the approaches and tools usually adopted for the more straightforward direct mail list processing will not cut the mustard. The risk is simply too high and your critical business data could be corrupted as a result.

Our focus and 'precision approach' is therefore on helping you first ensure that your company data is 100% (or as close to this as possible) fit for purpose and then ensure that the appropriate analytics, targeting and database marketing resource is in place to help you grow both customer value and profitability.

For instance, we can detect changes in customer behaviour and then apply a series of statistical computations and processes to create and update suggested 'next-action' or 'performance' indicators.

These indicators will help marketers make better selection and targeting decisions without needing to understand statistics.

Each indicator (or flag) is created with meaningful and straightforward descriptions for sales and marketers to easily follow. They can be created to spot and minimise churn, suggest appropriate cross and up-sell actions, ensure that sales associates have relevant expertise to match customer expectations, etc. Importantly these indicators will enable marketers to quickly address any issues and take advantage of  opportunities that would otherwise have remained hidden.

In a similar context, many companies purport to use (or provide) a single customer view for marketing and analytics.  However this is usually a read only screen containing additional summarised sales information linked to a customer contact record. Yes it helps sales and marketing staff see the bigger picture when they are accessing that record, but when they need to use this extra information for marketing selection or analysis - quickly summarising thousands or even millions of sales transactions by product by month for example - then this extra data is either unavailable or not held in a suitable format for selection.