“Now we know who our customers are and can identify opportunities every month to target marketing initiatives, boosting effectiveness.”
- Ed Duggan, CFO & Commercial Director
E-Consultancy found that 93% of businesses who personalize their marketing increase their revenue, and our data shows that nurturing customer relationships across channels boosts customer life-time value by around 30% to 50%. But most businesses only have an approximate view of who their customers are and find it hard to execute accurately throughout their life-cycle.
By automating customer insights and with the ability to rapidly create target groups, The Customer Graph enables any business user to build customized campaigns and automate cross-channel personalization.
One of the blockers to achieving multi-channel personalization is the complex IT projects and data architecture it requires. Often this leaves businesses with long-term data design projects and high costs. Meanwhile commercial and marketing teams work is held up.
The Customer Graph is a new breed of cloud-based, action focused, analytics engine that prioritises the ROI proof points first. Our clients build from simple starting blocks to more sophisticated Customer Marketing Programs, without rip-and-replace IT projects.
Data Analytic thinking for businesses can be a challenge and hard to action. As a result, many fail to leverage their customer data to deliver ROI at the speed of changing customer requirements.
The Customer Graph brings massive scalability and the power of networks to automate customer analysis, business intelligence, and life-cycle models. Business users have actionable insight on demand so they can focus on accelerating their customer marketing.
The pressures of hitting trading numbers often mean that executives have little opportunity to consider customer value when planning pricing and campaigns. As a result, discounts and incentives can drive sales today but undermine growth tomorrow by cannibalising business and incentivising promiscuous low-value customers.
By having customer group metrics by value and life-cycle state on demand, leaders can make smarter trading decisions to build sustainable value and sales.
Most businesses suffer backlogs and data quality issues that tie up technical resource, resulting in complex projects with distant delivery milestones. This delays marketing ROI.
Our agile data management uses smart matching, validation and dictionary creation so that your data is marketing ready in a fraction of the time.