Tracking codes from Google, pixels from Facebook, tracking pixels from marketers. Pixel plans for campaigns.
Everything must be built into websites or landing pages. Without this implementation, campaigns usually cannot be tracked properly.
Whether and how the tracking is integrated must be agreed with the customer. Especially in times when the CJEU likes to forbid implement tracking codes or even where the analytical data may be stored, it is all the more important to analyze paid campaigns as well as SEO.
Therefore we offer our customers the possibility to have tracking codes implemented by us. No matter if they have to be implemented directly into the website or the online shop, we make it possible.
It is irrelevant whether the code has to be implemented via the Google Tag Manager (from Google) or directly. Whether it is about floodlight tracking or simple Google Ads Tracking. Also the configuration of Google Analytics or comparable tracking monitors like Econda, etracker, or Matomo is possible.
Each platform comes with its own tracking code for conversions, remarketing, audience, etc.
Here is an excerpt of which platforms we have already successfully implemented through our programming codes:
But programming for us also means web development. I.e. next to online shop systems, like WordPress and Woocommerce, as well as shopware, we can also create websites with WordPress or Drupal for specific customers.
We have already created many shop systems and websites based on these platforms. Again and again, existing customers ask us if we can create the website or the online shop. This depends on our order situation and the feasible feasibility. In this respect, we weigh up the requests whether we can accept such an order or not.
We will be happy to provide you with more detailed information and references on request.
Demographic data: show WHO searched for or bought a product (gender, age, place of residence/region).
Transactional data: show WHAT customers have bought (sales, turnover, returns, basket size etc.)
Behavioural data: show HOW products were purchased (browser, time spent on page, traffic in shop, customer journey)
Psychographic data: show what makes up the customer’s personality (interests, likes, dislikes, willingness to spend)
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