Reporting Archives - Lion Sales Funnels

How API Improves Your Company

If you've had experience connecting two different tools such as a CRM and a Live Chat software you've surely heard of API. Maybe you are using Zapier. Zapier is great for many applications but can be costly for high volume when you exceed your monthly quota.

If you are running logs on spreadsheets (which you should be doing to improve your marketing team's understanding of your inbound leads and their various sources) you will surely exceed your quota. When dealing with high volume API Zapier isn't scalable. Having your own self-hosted API system is simple, scalable and you own it.

Track website sessions

Your client's website sessions is one of the most important tool after the inbound call transcriptions for insights on a client's intentions to buy or not. For example a lead clicking on an email link and visiting a low ticket product page is higher up in the funnel compared to a lead visiting your product financing information website page (or downloading your price list) and making an inbound call to your call center.

This is established following your existing marketing models. It might differ if you do not advertise prices online or if you do not currently have an email list. Either way, this metadata information aggregate on your backend client lifecycle is only available to your digital marketing consultants if API integration are setup between your website, call center and email auto-responder. This is the first step to finally optimize later on.

Setup logs for data aggregation

You surely have specialized software that are not available with Zapier. Maybe you don't have an API programmer for setting it up. Your dedicated Lion Sales Funnel account executive should inform you early on the importance of setting up inexpensive spreadsheet logs that aggregates all trackable system touchpoints. This is done after setting up API Integrations for your most urgent systems. It will give your marketing director or your consultant a clear picture on the available unused data available from your current systems. This is all yours.

Your leads website sessions contains a great deal information that can be used for triggering and for all sorts communication personalization that will make your client more comfortable for the final sale. Dynamic Number Insertion (DNI) for connecting your website to your call center is one of the most important cross-channel data aggregation that will revolutionize the way your company handles inbound calls.

What are the benefits of API integration?

API integration brings with it several business capabilities. These include the following:

Automation
API integration makes it possible for applications to trade information directly and automatically, making it an essential component in automating business processes and other actions.

API Integration Benefits – ServiceNow
Scalability
Rather than forcing developers to start from scratch every time a new application needs to be developed and merged with existing networks, API integration empowers organizations with the ability to quickly connect disparate systems and software. This allows them to scale easily to meet their changing needs.

Additional Benefits

Visibility
API integration creates a standardized, universal method for data exchange between applications. As such, it also gives businesses a clear, end-to-end view of all traffic within relevant systems and processes. Organizations can track data, monitor it for anomalies, and analyze important datasets to uncover valuable insights.

Accuracy
Relying on humans to transfer data between unconnected systems can be a dangerous prospect; human error can easily disrupt vital datasets, rendering them useless. API integration removes the human element, ensuring that even large amounts of complex data may be transferred without fear of inaccuracy.

How to Track Your High Ticket Leads

Your CRM contains the information gathered by your sales team during an inbound or outbound call as well as email communications (hopefully). These information entries are made manually by your team and as such can be limited in details and difficult to decipher.

System entries in more advanced systems often starts before the sales call. This serves well to understand the purpose of the call, helps for lead nurturing to prepare the client for that call. Having a CRM organized that way helps by avoiding duplicated touchpoints and information that does not help to the sale and sales development.

High-ticket vs. low-ticket

Our agency understands that high ticket sales outbuilding construction companies are typically not as advanced as low ticket retail e-commerce companies in digital marketing. This is particularly apparent when it comes to collecting the client's browsing information across multiple devices, which is not always an easy task. This is however getting easier as your sales mostly comes increasingly from inbound calls dialed from a smartphone to your sales representatives call center.

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Lead generation for high-ticket sales

As a comparison, trade shows has often been the biggest source of qualified leads for many specialized outbuilding construction companies. At those events, leads are collected manually and retargeted later on. Your 1 or 2 representatives will write down as much information as they can on a prospective client and this of course will have it's limitations. In essence, the current technology allows us to do the same thing, but doesn't limit itself to trade shows, geographic location or volume.

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Metadata aggregation process

Here is an example of a spreadsheet used for metadata aggregation. We use a spreadsheet like this before setting up an API connection with a client’s company CRM. If for some reason the data connection is not working as it should, we will have this log to troubleshoot ands still collect data. The process is fairly unlimited, as we do not have to worry about the number of fields added for 1 client.

Many bulk operations can be performed for matching duplicates and combining everything in one place for the various members of your team. This is really a cost effective way of collecting lead data. We can then setup reports that focus only on the data your sales or marketing director needs to see quickly to make a decision. This is the first milestone to a successful digital marketing campaign.

Prioritize tracking mechanisms

Tracking needs to be setup first otherwise the data isn’t reliable and incomplete. Companies that fail at this are also missing out on opportunities to optimize and remove resources from campaigns that do not produce ROI. This will expand your understand of your top client’s persona (in traditional marketing) and allow you developed the optimized campaigns using new means based on your existing models.

We are not trying to reinvent the wheel just make it more efficient. This is all done seamlesly and does not affect your brand’s image in a negative way, as it is all achieve with your client’s explicit conscent.

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What is data aggregation?

Data aggregation is the process of gathering data and presenting it in a summarized format. The data may be gathered from multiple data sources with the intent of combining these data sources into a summary for data analysis. This is a crucial step, since the accuracy of insights from data analysis depends heavily on the amount and quality of data used.

It is important to gather high-quality accurate data and a large enough amount to create relevant results. Data aggregation is useful for everything from finance or business strategy decisions to product, pricing, operations, and marketing strategies.

What is an example of aggregate data?

Here is an example of aggregate data in business:

Companies often collect data on their online customers and website visitors. The aggregate data would include statistics on customer demographic and behavior metrics, such as average age or number of transactions.

This aggregated data can be used by the marketing team to personalize messaging, offers, and more in the user’s digital experience with the brand. It can also be used by the product team to learn which products are successful and which are not. And furthermore, the data can also be used by company executives and finance teams to help them choose how to allocate budget towards marketing or product development strategies.