Factor-in your marketing efforts to decode customer behaviour, optimize ROI, and determine marketing’s influence on pipeline and revenue.
Developed by the American Institute of Certified Public Accountants (AICPA), the SOC 2 information security standard is an audit report on the examination of controls relevant to the trust services criteria categories covering security, availability, processing integrity, confidentiality and privacy. A SOC 2 Type I report describes a service organization's systems and whether the design of specified controls meets the relevant trust services categories at a point-in-time. Read more here.
Developed by the American Institute of Certified Public Accountants (AICPA), the SOC 2 information security standard is an audit report on the examination of controls relevant to the trust services criteria categories covering security, availability, processing integrity, confidentiality and privacy. A SOC 2 Type I report describes a service organization's systems and whether the design of specified controls meets the relevant trust services categories at a point-in-time. Read more here.
Stitch customer journeys from first touch to closed won, to get an integrated view of marketing performance
AI Engine that continuously analyses and diagnoses key metrics, highlighting insights and recommendations
Library of curated templates based on the best practices from high-performing teams across the globe
Consumer grade User Experience for Analysis, defining Custom Events and Dimensions
Flexible and configurable attribution engine to allocate conversion credit to relevant touchpoints
Robust out of the box integrations to your martech stack, resulting in a 1 week onboarding cycle
Get a holistic view of the entire Marketing Funnel, minus all dependencies.
Say ‘hello’ to clutter-free insightful dashboards.
Drill infinitely into your data & augment the rockstars in your team
Inability to fetch insights from across data types like unstructured data, date types, list fields and leaving 90% of raw data untapped
Lack of data normalization results in the inability to correlate information across anonymous users, leads, contacts & opportunities
Most tools lack AI automations & templates. They retrieve results based on specific user queries that lack a holistic view
Inability to draw insights from across different data types.
Failure to correlate data about users, leads, contacts & opportunities.
Absence of a holistic view due to a query-based insight approach.
