LeadAngel uses cutting edge AI-based Machine Learning to match leads with existing or new accounts. While a simple string match may work for some organizations, we believe our state-of-the-art Lead-to-Account Matching, can work wonders for your lead management process. Here are all the areas that it covers currently:
Not all companies have the same names or backgrounds. However, company suffixes such as Inc., Corp., LLC, and Ltd., etc. don’t serve much purpose when it comes to matching searches. Lead Angel’s algorithm makes sure these suffixes are ignored.
Special characters like “&” and “AND”, “AT” and “@” are practically the same. LeadAngel’s algorithm is designed to ignore these as well as other special characters like commas, periods, etc. Since company names can come in other languages. It is probably that you may encounter accented characters such as “é”, “ê”, “ç”, “ñ” and “à”. With LeadAngel, items like these are matched by testing out combinations of possible variations, in a controlled manner, that produces the desired results.
Are IBM, I.B.M., and International Business Machines the same? In LeadAngel’s search algorithm they will be. We are able to identify popular acronyms with or without spaces, with or without dots, etc. Looking for Ingvar Kamprad Elmtaryd Agunnaryd? When you search for IKEA, you will get the same result on LeadAngel. Dalsey, Hillblom and Lynn, more popularly known as DHL is another example in the same vein.
Not all big companies or businesses have the same name today as they did in the past. Quantum Computer Services is now called AOL, AuctionWeb is now called eBay, and the Marafuku Company is now called Nintendo. LeadAngel’s algorithm will be able to recognize popular names and the previous names companies went by.
Over the course of its operations, a business may put up new websites and abandon old ones several times. It may even set up a domain to help direct customers to the right website. A record with a missing company name but valid business domain presents no problem to LeadAngel’s match algorithm.
LeadAngel’s match algorithm searches all over the world, but priority is given to geographically closer company location. So in case of multiple matches you don’t have to worry about looking at results that are actually inaccessible to you, or located halfway around the world.
In 2017 – Extreme bought Avaya’s Networking Business Unit, Xerox recently bought MT Technologies, and Palo Alto Networks bought LightCyber. LeadAngel’s search algorithm knows about recent mergers and acquisitions, such as Youtube with Google, and Taleo with Oracle, etc.
LeadAngel’s fuzzy match algorithm is designed to be flexible to fit your needs. You can turn on or off some of the rules to adjust the match confidence level. Stricter rules means fewer results, but these results will be more closely matched to what you are looking for. Relaxed rules means there will be more results to choose from, but only loosely matched to your criteria. Also, if there are certain companies that always go together for your business (due to existing relationships), or never go together, these can be defined in custom “Always Match” or “Never Match” rules.
How fast does LeadAngel algorithm and architecture work? LeadAngel can easily match more than 7 million records per hour. This comes in handy when running a segment based on a company name match. Not all leads will be at a stage where they want to make a purchase when you reach out to them. With the right lead-to-Account Matching solution, you can take accounts to specific sales reps who can then focus on delivering maximum value from them. It’s always easier to keep track of ten distinct and dedicated accounts rather than new accounts every time.
Fuzzy matching is a technique used in data matching and record linkage to identify and match similar but not identical data. It’s a method of matching similar or related records even when the data is not an exact match. This technique is useful when the data being matched is not clean, consistent, or complete, or when there are variations in the way that data is entered or recorded.
At LeadAngel, we use fuzzy matching to fix issues is your database and help you enhance the productivity of your sales team.
Data deduplication is the process of identifying and removing duplicate records from a dataset. This process is important in your sales process because it helps to ensure that the data in your company’s CRM system is accurate and up-to-date. When duplicate records exist in your CRM, it can lead to confusion, errors, and inefficiencies in the sales process.
It can be done manually or through automated data deduplication, a key feature once you sign up with LeadAngel. Customers who have used LeadAngel dedupe function have seen a 68% efficiency gain for their sales teams
At LeadAngel, we use fuzzy matching to fix issues is your database and help you enhance the productivity of your sales team.
What is the purpose of lead to account matching?
The purpose of lead to account matching is to connect leads (potential customers) with the appropriate accounts (existing customers or prospects) in a company's CRM (customer relationship management) system. This helps sales teams to effectively target and nurture leads, and to ensure that leads are properly tracked and managed throughout the sales process.
How is lead to account matching done?
Lead to account matching can be done manually or through automated lead to account matching software. Manual matching involves manually reviewing and comparing lead information with account information in a company's CRM system. Automated matching uses algorithms and machine learning to match leads with accounts based on specific criteria such as company name, industry, and location.
What are the benefits of lead to account matching?
Some of the benefits of lead to account matching include: 1. Improved targeting and nurturing of leads 2. Better tracking and management of leads throughout the sales process 3. Increased efficiency and productivity for sales teams 4. Reduction of the risk of leads falling through the cracks, 5. Ensuring that leads are properly qualified and routed to the appropriate sales representative.
How accurate is lead to account matching?
The accuracy of lead to account matching can vary depending on the quality and completeness of the data in a company's CRM system. However, automated lead to account matching software can have high accuracy rates with the right data, and manual matching can also be accurate if done by experienced sales representative.
What are some common challenges with lead to account matching?
Common challenges with lead to account matching include poor data quality and completeness, lack of standardization in data entry, and difficulties in identifying and matching similar but not identical company names or contact information. Another challenge is if there are too many leads, it will be difficult to match them all.
Can LeadAngel match my leads against a custom list not in my CRM?
Yes, with LeadAngel you can match against CRM accounts as well as custom lists that you upload.