Marketing automation does work.
We partner organisations in setting up and designing their solutions to connect multiple marketing channels. Qualify and nurture leads, reach them at the right moments, measure your results with 360° analytics, and reduce cost per acquisition in regional and APAC markets.
What We Do
The most cost-effective way to maximize your marketing spend is to optimise your existing database. By studying complex, behaviour-based workflows and scoring models, we are able to help you capture, nurture, and convert visitors into leads, and prospects into customers. Learn more about how you can use Marketo here.
Full-Funnel Marketing Stack Modelling
In association with our partners, we design your nurturing process to obtain high-value marketing qualified leads for best possible value for money. This involves continuous optimisation supported by man-machine partnerships tailored to your business.
Predictive Analytics for Marketo ABM
Using machine learning and propensity models, we can effectively discover the intent of your potential clients as well as prioritise, segment, and enrich leads to improve your conversion rates. With insights from past data, we can then distill your “client DNA” to specifically target new leads that fit the same profile.
Using a combination of Personal Identifiable Information (PII) and non-PII, we can discern suitable remarketing efforts and net new accounts for you. Leveraging on our DMP (Data Management Platform) and DSP (Demand-Side Platform) capabilities in addition to major media platforms such as Google, LinkedIn, and Facebook, our cutting-edge solutions are tailor-made for mid-market B2B and B2C companies targeting APAC and China.
Dynamic Creative Optimisation
Dynamic Creative Optimisation (DCO) is a display ad technology that creates personalised ads based on data about the viewer at the moment of ad serving. Combined with modelled behavioral profiles of your potential customers, we can improve your marketing outreach by showing content that is relevant and optimised.