Infinata helps clients consolidate and aggregate multiple disparate databases to make them relational and usable.
How We Help
Because everything we develop is custom, there are limitless possibilities for the value we can help you derive from your data. The following are select examples intended to provide an overview of what is possible with flexible data management services. Contact us to let us know what you would like to achieve and we will work with you to create a unique solution tailored for your needs.
Understand Why They Buy
Most companies, especially larger ones, implement multiple sales and marketing campaigns across numerous touchpoints simultaneously - online, print, direct mail, telemarketing, etc. Unfortunately, because everyone is focused on executing their campaigns separately, it is often a significant challenge for these groups to communicate regularly, nevermind identify opportunities for cross-selling, up-selling and sales follow-up. Infinata helps companies measure campaign-specific ROI, uncover purchasing trends and make informed strategic decisions about how to spend their marketing budgets efficiently and effectively. By developing custom reports, we help you:
- Create market segments and individual leads most likely to close
- Benchmark competitor performance
- Target specific demographics for new product launches
- Identify top-customer buying trends
- Integrate usable data into your CRM system
- Streamline huge volumes of survey data to support sales inside information into client hot button issues and attitudes
For example, even when aggregating billions of rows of data from numerous independent sources, Infinata is able to produce a weekly list of top-10 prospects each sales representative detailing who to call to promote a particular product or service - and why. Typical clients include (but are not limited to) banks, asset managers, insurance carriers and mutual fund companies.
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Contact us to turn your ignored marketing data into a cohesive sales support system.
What it is: Consolidate and aggregate multiple disparate databases and make them relational.
Types of data clients give us:
- Marketing: Big companies, might be blind online vs. print vs. phone bank marketing. We identify opportunities for cross-selling, up-selling and follow-up while providing visibility across touchpoints and campaign-specific ROI calculations. Helps companies decide where to spend their money in marketing and be more efficient. Customer profiling - understand the client base - trending, sweet spot of likely sales (Amazon recommendation for the sales team), identify top customers and segments so tailor campaigns for them. Or around specific product launches to a certain demographic, etc.
- Used by: Banks, asset managers. (BlackRock and Citizens)
1. Looked at checking accounts broken down by age, if they have online banking access, amount of assets - created a consolidated report to make decision on what ages are really using online banking and if they carry higher balances. Also are they writing checks from those accounts or doing transactions on web - how it's being used, by age. trends. "shitload of trending."
2. Blackrock survey campaign, we track from survey responses for self-proclaimed interest in a particular fund. We track their actual activity regarding that fund. Customer lifecycle marketing. Produce a report, here are the 10 people you need to call, what they are interested in, with detailed responses - to the sales team, who to contact, and why.
This is more than warehousing or reporting - it's hosting with a custom front-end - portalization - stay away from "virtualization" - need a better name
- Financials:Benchmarks by product by segment. They are giving us all the actual insurance transactions for their clients. We give them a web portal that they resell to their clients (e.g. to Safety Insurance, then they see where they rank among everybody else) - Bryce to demo us. Benchmarks and opportunity analysis.
(DTCC) - benchmarking your performance against market segemnt and competitors and industry to identify and exploit sales opportunities and pockets of wealth likely to be interested in your products
- Insurance carriers: we are very under weight in MA, there's a billion dollars being done and we only have a million.
- Satisfaction survey data: (Citizens) - 1600 branches. survey 100 people per month per branch - so huge volumes. value we add is the distribution. Bankers get bonused on whether they hit their goals. They were sending out 10 MB emails crashing computers. So people call or send online surveys, however it's captured the data comes to us. Huge volumes of data. We provide streamlined reports. Every industry has sat surveys and has no idea what to do with the data when they get it back. Can also dump it into a CRM so they know ahead of time what customer hot button issues and attitudes are when making sales pitches.
- CRM data: Match it up to all the other data sets. Beefing up your CRM system data set.
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