What is our primary use case?
Amperity is leveraged for centralized customer analytics and executive reporting. With fragmented customer data scattered across systems like CRM and e-commerce platforms, Amperity acts as a customer data platform, ingesting and resolving identities to provide a unified customer view. My day-to-day involves translating this data into strategic reports and dashboards to track customer behavior and drive decision-making.
Prior to adopting Amperity, comparing website user behavior against CRM database reporting required labor-intensive manual SQL joins or Excel VLOOKUPs, but Amperity automates this process. Amperity's AI-driven identity resolution engine helps merge customer profiles using a hybrid framework of deterministic rules and machine learning, processing data from varied systems like CRM, e-commerce, web logs, offline POS, or loyalty apps.
The deployment of Amperity has fundamentally changed the dashboarding and reporting layer. Historical dashboards were template-driven for historical trends. Now, instant querying is available to correlate digital interactions with historical CRM data without manual data cleaning.
Amperity offers robust audience segmentation and personalization features, although our marketing team handles that segment. Amperity's reporting visualizations and dashboarding are notable features, built on the proprietary AI-driven identity resolution engine that merges disparate identifiers into a master profile.
What is most valuable?
The best features Amperity offers include its reporting visualizations and dashboarding layer, which sits atop the proprietary AI-driven identity resolution engine. It efficiently matches disparate identifiers into a single master profile. Its robust audience segmentation tools further enhance its utility. Furthermore, Amperity stabilizes data as a single source of truth, leading to increased operational velocity and enhanced data trust. By resolving data discrepancies from isolated systems and reducing the feedback loop for data validation, leadership can make faster, more confident strategic decisions.
What needs improvement?
Amperity's ad hoc and non-standard reportational limitations present significant challenges. While the platform provides a solid framework for standard dashboards, it becomes rigid for highly specific, customized data requests from executive leadership. Writing manual queries or exporting data to external tools like Tableau becomes necessary for deeper analysis, undermining its centralized analytical tool premise.
The internal UI lacks the deep calculation capabilities for complex conditional formatting found in dedicated business intelligence software, causing workflow friction. The platform's rigidity in generating custom reports is a primary bottleneck and reiterates that the native analytics and visualization capabilities have not caught up to its powerful back-end database.
Data export bottlenecks compromise Amperity's centralized analytical tool claims. Analysts often need to extract data externally for complex requests due to the limited native visualization capabilities.
For how long have I used the solution?
I have been utilizing Amperity on a nearly daily basis for approximately seven to eight months.
What do I think about the stability of the solution?
Amperity is stable, and I have not experienced any downtime or reliability issues since I started using it. The AI identity graph primarily strengthens its stability in resolving customer data.
What do I think about the scalability of the solution?
The scalability of Amperity has been seamless. As our e-commerce traffic and CRM database sizes have increased significantly, Amperity has efficiently handled the larger data volumes.
How are customer service and support?
My experiences with Amperity's customer support have been positive due to the platform's stability. I have not had to log system down tickets, and most inquiries have been technical how-to questions involving complex reporting configurations.
Which solution did I use previously and why did I switch?
Before Amperity, I did not have a dedicated CDP. I used a manual pipeline where analysts extracted CSVs separately from CRM and e-commerce platforms. This process was unscalable, prone to human error, and created bottlenecks whenever leadership requested cross-channel data points.
What was our ROI?
The operational ROI is clear and measurable. Constructing monthly cross-channel executive reports used to take six to eight hours of manual data tasks. With Amperity, data is pre-aggregated, reducing this time to under an hour.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup costs, and licensing is that financial metrics, licensing tiers, and implementation costs are managed by department heads and procurement teams. The licensing models have not hindered operations.
Which other solutions did I evaluate?
I did not evaluate other options before choosing Amperity. My friends recommended Amperity to me.
What other advice do I have?
Amperity could be improved with high-value customer and cohort-level metrics such as cross-channel engagement frequency, lifecycle transitions, and behavior trends. Emphasizing macro-level trend matrices aids in delivering insights rather than focusing on granular data events.
To understand why certain parts of the tool are sophisticated while others feel rigid, it is important to recognize the platform's reliance on acquired capabilities for downstream campaigning or orchestration and predictive analytics.
For those considering Amperity, it is advisable to evaluate specific analytical workflows beforehand, especially if your goal is to unify customer identities or build standardized dashboards for leadership. My overall rating for this product is 6.5 out of 10.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other