Zeist, 3708 AH,
Netherlands
Pretty Orange Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Pretty Orange and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 230 Pretty Orange employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Pretty Orange has purchased the following applications: Kickbite Analytics for Analytics and BI in 2023 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Pretty Orange is running and its propensity to invest more and deepen its relationship with Kickbite or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Pretty Orange revenues, which have grown to $71.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Pretty Orange intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Kickbite | Legacy | Kickbite Analytics | Analytics and BI | Analytics and BI | n/a | 2023 | 2023 |
In 2023 Pretty Orange implemented Kickbite Analytics to validate and scale paid social investment for the Dutch market. The deployment framed Kickbite Analytics as an Analytics and BI solution focused on marketing measurement and attribution, positioning analytics outputs to directly inform channel investment decisions.
The implementation concentrated on attribution workflows and paid social measurement, using Kickbite Analytics to identify Meta as an effective new customer channel. Configuration emphasized channel-level performance segmentation and customer acquisition cohort analysis, enabling the marketing team to surface where reallocations of spend would increase new order volumes.
Operational coverage remained within marketing and attribution functions for the Dutch market, with the platform feeding decisioning for budget reallocations across paid social channels. The project captured vendor reported channel performance signals and translated them into campaign-level adjustments that altered investment flows toward higher performing acquisition channels.
Governance changes centered on instituting analytics driven budget review cycles and operationalizing vendor reported outcomes, rather than broad platform governance shifts. Kickbite reported outcomes for Pretty Orange included an 11 percent reduction in marketing spend, a 53 percent increase in new orders, and a 7 percent decrease in cost of acquisition, outcomes that were used to validate the measurement approach and justify reallocations.
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