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Sales funnel analytics for Finance
Sales funnel analytics for Finance How-To Guide:
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FAQs online signature
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What is a funnel example?
What is a marketing funnel example? An example of a marketing funnel could be a process where a potential customer becomes aware of a brand through an advertisement, then visits the brand's website or landing page and signs up for a newsletter or downloads a free resource, showing interest.
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What is an analytics sales funnel?
A sales funnel report is an analysis of your company's sales funnel. These reports may track a wide variety of metrics, including: The volume and value of leads in your pipeline. A lead's likelihood of being won at each pipeline stage.
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What are financial funnels?
The financial advisor funnel is a step-by-step journey where you strategically identify potential clients and convince them to take your service. Let's dig deeper with an example. Let's assume you are a Business Investment Advisor. Following are steps you may consider using in your sales funnel.
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Do sales funnels actually work?
Do Sales Funnels Really Work? Sales funnels have proven to be highly effective in converting leads into customers. By guiding potential customers through a structured journey and providing relevant content at each stage, you increase the likelihood of conversions.
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Why do people use funnels?
Helps Streamline the Customer Journey Having a clear sense of your funnel helps to streamline the customer journey. Knowing exactly where your customers are in their decision-making process can help you determine what you're serving them and how you can help them make up their minds.
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What is the sales funnel in finance?
Sales funnels work to drive leads and conversions when they speak to the target audience's needs and intent. A financial advisor sales funnel that addresses a distinct problem prospects are facing and clearly defines the firm's value can help drive leads and increase conversions to grow a book of business.
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What is the best way to visualize a sales funnel?
To really sell the part-to-whole breakdown of a funnel process, the most apt chart type is the stacked bar chart. Instead of plotting stage bars in a line like in a standard bar chart, a stacked bar chart overlays all of the bars in the same place.
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What is a funnel and how does it work?
A marketing funnel is a multi-stage process that guides potential customers from first learning about a product to making a purchase. Marketing teams often use the AIDA model, which stands for Awareness, Interest, Desire, and Action, to create targeted strategies that move people through these stages.
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hello and welcome to lean excel solutions! In this tutorial, we will learn to create, this fully interactive sales dashboard in Microsoft Excel from scratch. Also, we will see, how to change the complete theme of the dashboard by just selecting the standard theme color or the customized one. We are going to do it in the following steps- First, we will have an overview of this dashboard. Second, an overview of the data sheets including how to update the data. Third, prepare the database. Fourth, data analysis and prepare the visuals. Fifth, design the background of the dashboard. Sixth, prepare the dashboard using background and visuals. And the last one, formatting it. So, let's start with the first step. Basically, it is designed for the B2C type of business. Like Dmart, Walmart, Amazon, Shops & supermarkets, etc. These are the slices to drill down the data. like yearly, monthly, by sales type, and by mode of payment. Here is, the total sales, total profit, and profit percentage. These all are combined into a monthly format here. We can hide or unhide it to view it as individually or comparative. This visual indicates product-wise sales for the selected period. Only 10 products are visualized at a glance, and you can scroll up & down to view other products in the list. It shows day-wise sales. It shows sales percentage contribution based on the type of selling and mode of payment. This is for the top-selling product and product category. The final one is the category-wise sales contribution. Now, let's have an overview of the data sheets and where to update input data. This is the master data sheet or you can call it a catalog. It is added in the table form. The first column is the product ID. The list of items in this column must be unique. Then we have the product column. Instead of these two columns, we can manage with only one also. But I kept it separate because sometimes product names can be the same, but some parameters will be different, like price, supplier, etc. If it is not applicable in your case, you just need to maintain the same data in both columns. This is the category column, which is the product category. like cosmetics, foods, drinks, electronics, etc. If you have predefined categories, you can create a drop-down list using data validation, like this. The next column is the unit of measure (UOM). You can update it also, based on the products you have. And the last two columns are buying price and selling price, which means unit purchasing price and unit selling price. Please note, after some time, if there is any change in any product like buying or selling price, don't change it in the existing one. Otherwise, it will apply the latest changes to previous data too. So, create a new product ID for it, and add the required details to the table, like this. The next sheet is the input sheet, in which we have to add product sales data on the regular basis. In the input data table, these are the columns we have to fill on product selling. The first column is the date of Selling. Second, product ID. Third, quantity. Fourth, sales types, like direct selling, are purchased by a wholesaler or ordered online. You can change or update this list using data validation. Next is a mode of payment, which is online or in cash. You can update these two as per requirements. The last one is a discount percentage. if you want to offer any discount, you can add it here. On this sheet, we are going to design the dashboard. These are the few icons, we are going to use in the dashboard. And are inserted from this inbuild library only. And the final sheet is Analysis, where we will do all backend calculations. So, let's start with the data preparations. First, we will extract some columns to the Input Data table from the master data. Copy these headings and paste them into the input data table. Let's use the vlookup function with reference to the product ID column, to extract these data from the master data table. Add columns for total buying and total selling value and calculate it. Add day, month, and year columns. Since we have formatted it as a table, we just need to update these columns only, the remaining will be updated automatically, like this. Alright, now let's go to the analysis sheet, insert the pivot tables for the input data table and rename them ingly. Let's remove the grant total wherever not required. Now the next step is to create visuals. First, let's add the slicers. Click inside of any pivot table, go to insert, and click on the slicer. Select the fields which we want to include as a slicer in the dashboard. Since we inserted these slices by clicking on this pivot table. The slicers are linked with this pivot only. To link these slices with the remaining pivot go to the slicer tab, and select report connections. It will open a new tab and select there with which pivot table we want to link this slicer. Let's do the same with other slices. Let's add an area chart for the day-wise sales. Calculate the total sales, total profit, and profit percentage. Next is monthly sales. Let's prepare one table using this pivot table. Insert a column chart and format it. We will add a profit percentage as data labels. Add three checkboxes, so that we can show or hide the sales, profit or profit percentage. Now, based on the selection here, the cell values will change to TRUE or FALSE. Let's link the TRUE or FALSE conditions with the table values using the if function. We need to fix the O1 cell. Let's add profit percentage as a data label. Click on Values From Cells and select the range. Alright, let's get rid of these NA's by changing it as a blank in the formula. This pivot table we will use to create these visuals. Let's start with this one first. We want here the top product. We can get it by using a RANK function, like this. But, this range is not dynamic, if the number of line items changes after selecting the slicer or adding a new product, either it will show an error or there will be a blank at the bottoms. So first, let's make this range dynamic using the OFFSET function. I have used the OFFSET function several times with detailed explanations in earlier videos. If you find it difficult to understand here, go and watch those videos. The link is in the description below. Let's use the rank function now. Alright, it's working fine. Here we will use the vlookup function to extract the first rank product details from the below table, later we will link these cells to the dashboard with text boxes. To create this visual, let's copy the same formula and change the height of the range to 10. Insert the bar chart and format it a bit. Insert the scroll bar and link it to the cell. now we will use the output of the scrolling bar as a row in the OFFSET function. To get rid of the header in range, let's change the Scroll Bar minimum value to 1. Now, to remove these zeros from the range, we will add one another conditional formula. Now replace the earlier rows reference with this cell in the OFFSET function. Alright, now it's restricted up to this range. but still, there are zeros at the bottom which we can avoid by subtracting nine from the COUNT function here. This pivot table we will use to create these visuals. For this let's repeat the same process which we did earlier for extracting the top product. Now, to create this visual, we can't insert a treemap chart directly using pivot data. We can use this table for it. But again, if the number of line items changes in the range after selecting the slicer or adding a new category, it will not reflect in this chart. So let's do it using name manager and this OFFSET function. Let's create these visuals using these pivot tables. So all visuals are created. Now we will design the dashboard background, which we will do in PowerPoint. There are several advantages of doing it in PowerPoint, like- We can get desired aspect ratio easily in PowerPoint. Like currently, we are using a 16:9 ratio. We can use rulers, guidelines, and guides to match the shapes correctly. We can align the shapes easily. And if required, we can create the shapes using merged shapes. So, let's copy this slide for another layout If you observe, all colors we have selected from these theme colors only. The reason is, that we can change complete color formatting by changing the theme here. We can customize the desired color also. I have already created these theme colors and I used standard colors only. Now select all, copy, and go back to the dashboard sheet, and paste it. We can see, that the color change to the default format after pasting it in Excel. Let's group them first and send them back. In Excel, we can change the theme colors here. Let's increase the size of the background shapes for better clarity. Change the color of the icons. Remember, you must select the colors from the theme colors only if you want to change the complete color combination after theme selection. If you select any standard color or customized color, even if the same color combination is available in theme color, it won't change with theme selection, like this. Let's insert the required number of text boxes, rename it, and then format it. Now, let's link the text boxes with the analysis sheet, which will update with slicer selection. now, let's go to the analysis sheet, select all visuals, cut it, and paste in the dashboard sheet. Let's arrange them ingly. Let's check whether all visuals are linked or not. So this visual is not updated with the slicers. Let's check the data linkage again and correct it. we cannot change the default slicer format. So let's duplicate one in the existing, one and format it as per our requirement. Let's remove the borders and select the colors, that match the background. Same for the header. Let's complete quickly the formatting of borders, background, and text. Use gradient fill color here. It's already been selected and this is the composition I used for gradient fill. Alright, the overall formatting is completed. Here, by selecting theme colors, we can completely change the look of the dashboard. Let's use a plain background also, which we created in PowerPoint. Select all, copy and paste into the dashboard sheet. In the selection pane, these last two groups are the background. We can hide unhide the required one and select the theme ingly. In this way, our sales dashboard is ready. I have designed this in office 365. If you like the video give it a thumbs up and subscribe to the channel if you have not yet subscribed! Thank you for watching...!
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