Data Application

Data applications are a big part of where our data-driven world is headed. They’re how data computer science gets operationalized. They are how end-users – whether they’re subject matter experts, business decision-makers, or consumers – interact with data, big and small.

Data applications are commonly used to store and query online advertising data. This data typically comes from ad servers and is critical to measuring and understanding advertising campaign performance, click-through rates, conversion rates (attrition rates), and much more.

With our data application service you can instantly compute impressions, clicks, eCPM, and key conversion metrics, filtered on publisher, campaign, and end-user characteristics. Explore this data interactively to diagnose anomalies and get insights. Present the data visually in dashboards and reports, and easily share it across your company.

Data Application in Lead Generation

Date application can provide competitive advantages when producing insights and analytical reports on lead generation. Both small and large businesses compete with each other for consumer data. Our data applications boost lead generation.

Interpretation of how data application helps leads generation;

  • Can collect data and customer requirements even before the official operation has started.
  • Creates a high-performing marketing model and sets a startup apart from the existing and becomes successful.
  • Ecommerce owners can identify the most viewed products and the pages that appeared the maximum number of times.
  • Evaluates customer’s behavior and suggests similar products. It increases the number of sales and generates revenue.
  • Big data applications can generate a sorted report depending on the visitor’s age, gender, location, and so on.


  • Microsoft 
  • Pipedrive
  • Mailchimp
  • Search ads 360
  • Google Analytics
  • Google analytics 360 suite
  • Sales force
  • Google Ads
  • Zapier
  • G Suite
  • Google my business
  • Hubspot


Precedent to current privacy policies, some organisations have abused consumer data guidelines by misusing sensitive information by not correctly using the desired level of protection. This being the main reason why DPA 18 and GDPR came into effect triggering widespread changes in how organisations operate within the UK and EU.

Sequential Data are expert digital marketers when it comes to leveraging personal data for targeting proposes on an accurate basis. DPA 18 and GDPR are not intended to impede companies, opposite to this, it is there to raise the standards on data quality to increase transparency between companies and consumers to drive the latest innovations.


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