How Does Linked Helper Help Define the Ideal Customer Profile (ICP) for Fintech Lead Generation on LinkedIn?
Fintech is among the hardest verticals in which to conduct generic outreach. An approach that is well suited to a Series A funding company for its payment solution would backfire when reaching out to a compliance officer from a licensed lending company. A generic search for decision makers on LinkedIn would yield many people who don’t actually have influence over buying decisions. The key to proper lead generation in fintech lies in a precise ICP, and Linked Helper is tailored to that need.
What Is an ICP for Fintech Companies on LinkedIn?
The ICP, or the Ideal Customer Profile, refers to the precise definition of both company and buyer persona that would most likely make a purchase. In terms of the fintech segment, it implies not simply the description of “financial services” industry, but more importantly, the identification of specific sub-vertical where the product fits in – payments technology, lending technology, banking-as-a-service solutions, insurtech, wealthtech, or risk management software for banks. On LinkedIn, the ICP is what drives all searches, lists and campaigns by deciding who should be targeted prior to sending any connection requests, not after the campaign has been launched.
How Does an ICP Help Find Relevant Leads for Fintech Companies?
An undefined ICP will mean broad prospecting and late qualifying by the fintech’s sales team since they reach out to hundreds of people and realize later that they didn’t have budget, authority or needs at all. With an ICP, the order of things is reversed because the fintech can filter out people according to company type, size, and role before sending them any outreach. That is a slow process when done manually but with a tool like Linked Helper which is one of the linkedin automation tools designed to offer both search and AI-based qualifying, the filtering can be done automatically.
Who Are the Target Roles and Decision-Makers at Fintech Client Companies?
The fintech buyer team will be distinct from your typical SaaS buyer team. The founder and CEO are relevant players, particularly in earlier stage companies where they are involved in almost every purchasing decision made; however, in cases involving infrastructure or API usage, CTOs and Heads of Engineering will hold weight. The difference in fintech is the relevance of compliance, risk, and legal decision-makers whose ability to block deals despite the agreement of a CFO or Head of Product is dependent on the lack of mitigation of regulatory risks. A good ICP captures all of these decision makers in accordance with the offer made.
Categorizing Companies by Industry, Size, and Business Model
Fintech is not an industry in and of itself; rather, it is a set of sub-verticals, each with their own buying habits. There is a different buying cycle and a different regulatory environment for payments fintechs, lending, insurtech, wealthtech, and those adjacent to crypto assets. Size becomes another determinant factor; a fintech with five employees in its seed stage is likely to buy different from one at the Series C level with procurement in place. And there is also the business model factor, where the buying persona for a B2C fintech will be different from a B2B one, even within the same sub-vertical.
How Can Geographic and Market Attributes Be Used to Refine a Fintech ICP?
Geographical considerations come into fintech regulation very strongly; the regulatory-compliant product developed for use by a lender in Europe might not apply to a lender in Southeast Asia, who works within a different regulatory framework. Geographically integrating the ICP requires identifying the countries and regions you wish to target, as well as considering whether it makes sense to run separate lists based on market geography when appropriate. Geography also influences the importance of specific roles.
How Do You Create Precise LinkedIn Search Queries Using Linked Helper?
The ICP is established after which, using Linked Helper, the leads are harvested directly from the LinkedIn or Sales Navigator URL based on the relevant filters: industry, company size, geographic location, and job title. This means that, instead of having to scrape the data from wide-ranging results and filtering later, the search itself is made with the ICP in mind.
How Do You Use Boolean Search to Segment Fintech Prospects With Linked Helper?
The use of Boolean operators assists in improving the accuracy of the targeting process. Applying Boolean operators, which include AND, OR, and NOT allows one to focus on phrases such as “Head of Compliance” OR “Chief Risk Officer” AND “payments” NOT “marketing,” and consequently helps to identify the specific group being targeted by the compliance-based product without involving any positions that could influence the target audience. In fintech, where the same position is used for a totally different meaning in a payments company from that of a lending firm, Boolean operators could be the key.
How Do You Use AI-Driven ICP Detection in Linked Helper to Qualify Leads?
Filters may reduce the number of candidates, yet ICP detection by AI does the final qualification. Linked Helper helps define the ICP using natural language terms: its position, type of company, target market, customer needs, and context of purchase; it evaluates each collected candidate’s profile with regard to this definition – both his/her own profile and the information about his/her company. Here lies the difference from simple filters: a “Head of Product” in the payments company and a “Head of Product” in the non-related SaaS company will get drastically different scores after the evaluation of the fintech ICP.
How Do You Manage Fintech Lead Segments Based on ICP?
After qualification of profiles, only those leads that meet the ICP criteria must move on to the outreach stage, whereas all others are left out prior to sending invitations or messages. Linked Helper enables this through tagging, search, and campaign lists that organize and reuse ICP segments: an example of this is a segment of “compliance decision-makers, EU lending” which need not be created anew every single time but can be used over and over again.
Conclusion
What creates ICP is the thing which converts fintech lead generation into a process that is not only focused but also repeatable, and Linked Helper with its powerful search filtration system along with its Boolean segmentation and ICP detection using artificial intelligence is what enables a sales team to actually do that on a large scale. This, combined with its automated, browser-based architecture similar to human actions, which is actually one of the reasons why it is considered one of the safest linkedin automation tools, makes ICP definition an operation process.
