Taipei, 106,
Taiwan
PicCollage Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by PicCollage and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 115 PicCollage employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that PicCollage has purchased the following applications: Flurry Analytics for Analytics and BI in 2015, Amazon EC2 for Application Hosting and Computing Services in 2025, New Relic APM for Application Performance Management in 2025 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems PicCollage is running and its propensity to invest more and deepen its relationship with Flurry , Amazon Web Services (AWS) , New Relic 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 PicCollage revenues, which have grown to $16.0 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 PicCollage 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 |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Flurry | Legacy | Flurry Analytics | Analytics and BI | Analytics and BI | n/a | 2015 | 2015 | In 2015, PicCollage deployed Flurry Analytics to run product experiments and instrument monetization across its mobile applications. The deployment positioned Flurry Analytics in an Analytics and BI role to capture user behavior and purchase funnel data for PicCollage's global user base. Core Flurry mobile analytics features were configured to capture custom events, session data, user segmentation, and funnel analysis tied to checkout and purchase flows. Experiment instrumentation included flags and event markers to test UI variants, most notably visibility of a Remove Watermark in app purchase. These configurations enabled iterative product experimentation and conversion analysis. Implementation activity was centered on PicCollage's US and Taiwan operations while collecting signals from the worldwide audience. The Flurry Analytics SDK was embedded into PicCollage iOS and Android builds to deliver real time event capture and cohort tracking. Data collection fed product teams and supported hypothesis driven testing across product and monetization functions. Governance emphasized product experimentation, with experiment results driving UI changes controlled by the product and monetization teams. Experimentation outcomes informed a change to the Remove Watermark in app purchase visibility, outcomes that increased conversion and revenue and grew in app purchase performance. PicCollage used Flurry Analytics as its Analytics and BI backbone for app growth and monetization work. |
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon EC2 | Application Hosting and Computing Services | IaaS | n/a | 2025 | 2025 | ||
|
|
|
|
Content Delivery Network | IaaS |
|
2024 | 2024 |
|
|
|
|
|
|
Content Delivery Network | IaaS |
|
2025 | 2025 |
|
|
ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| New Relic | Legacy | New Relic APM | Application Performance Management | ITSM | n/a | 2025 | 2025 | ||
|
|
|
|
Application Performance Management | ITSM |
|
2025 | 2025 |
|
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
Apps Development | PaaS |
|
2021 | 2021 |
|
|
|
|
|
|
Transactional Email | PaaS |
|
2025 | 2025 |
|
|
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
Chatbots and Conversational AI | AI-Powered Application |
|
2020 | 2020 |
|
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
Collaboration | Collaboration |
|
2025 | 2025 |
|
|
|
|
|
|
Collaboration | Collaboration |
|
2025 | 2025 |
|
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
Customer Support | CRM |
|
2021 | 2021 |
|
|
|
|
|
|
Digital Advertising Platform | CRM |
|
2024 | 2024 |
|
|
|
|
|
|
Digital Advertising Platform | CRM |
|
2024 | 2024 |
|
|
|
|
|
|
Marketing Analytics | CRM |
|
2024 | 2024 |
|
|
|
|
|
|
Marketing Analytics | CRM |
|
2025 | 2025 |
|
|
|
|
|
|
Marketing Automation | CRM |
|
2025 | 2025 |
|
|
|
|
|
|
Marketing Automation | CRM |
|
2025 | 2025 |
|
|
|
|
|
|
Marketing Automation | CRM |
|
2025 | 2025 |
|
|
|
|
|
|
Tag Management | CRM |
|
2025 | 2025 |
|
|
eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
Product Review Management | eCommerce |
|
2019 | 2019 |
|
|
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||