The Campaign Detail report provides an in-depth analysis of individual email campaigns. It focuses on metrics such as revenue, engagement, and overall performance, enabling you to evaluate the success of your campaigns and refine your strategies for future efforts. Below is a breakdown of each block and its functionality.
Block 1: Campaign Template
This block displays a snapshot of the email campaign template:
• Shows a screenshot of the email design used in the campaign.
• Usefulness: Helps you assess the visual and structural aspects of the campaign, ensuring consistency and quality in your messaging.
Block 2: Campaign Revenues
This block provides insights into the financial impact of the campaign:
• Key metrics include:
• Revenues: Total revenue generated by the campaign, displayed in currency with percentage change compared to previous data.
• Number of Orders: Total number of orders placed through the campaign, along with percentage change.
• Average Price: Average value of orders, with percentage change.
• A simple graph visualizes the revenue trends over the selected timeframe (default: this week).
• Usefulness: Enables you to track the monetary success of the campaign and identify high-performing strategies.
Block 3: Engagement Ratio
This block evaluates how effectively the campaign engaged its audience:
• Key metrics include:
• Engagement Ratio: A main score (1-5, with one decimal) that summarizes the campaign’s engagement.
• Delivered Emails: Total emails successfully delivered, with percentage representation.
• Opened Emails: Number and percentage of emails opened.
• Clicked Emails: Number and percentage of clicks on links within the emails.
• Unsubscribed: Number and percentage of users who unsubscribed.
• Usefulness: Provides a clear picture of audience interaction with the campaign, helping to optimize engagement strategies.
Block 4: Overview of the Campaign SmartFlow
This block summarizes the campaign’s SmartFlow structure:
• Provides an overview of the automated steps and processes involved in the campaign flow (e.g., triggers, follow-ups).
• Usefulness: Helps you review and refine the logic and automation of your campaign workflows for better efficiency and results.
Block 5: Campaign Over Time
This block tracks the campaign’s performance metrics over time:
• Key variables include:
• Sent Emails.
• Opened Emails.
• Clicked Emails.
• Conversions resulting from the campaign.
• A time-based visualization displays trends in these metrics, making it easy to identify peaks and dips in performance.
• Usefulness: Allows you to monitor the progression of your campaign and evaluate the timing and effectiveness of your email sends.
Table
In the table, you will find all metrics associated with the selected campaign. Using the date filter, you can also adjust the time frame to view the performance of individual metrics over a different period. If the campaign included an A/B test, the individual rows will also show the results for the tested versions with all metrics.
Incomaker evaluates A/B tests using standardized algorithms such as Fisher’s Exact Test when the volume of statistical data is smaller, and the Z-test for larger data volumes. At the bottom of the table, after the critical testing period has elapsed, you will see whether or not there was a statistically significant difference between the individual A/B test variations. If there was no difference, the results for that metric will be displayed in grey. If one of the variants was statistically more significant, the metric for that variant is marked in green as “Winner A” or “Winner B”.
For A/B testing of campaigns to be meaningful, it is necessary to create individual variants with substantial differences. A single word or image alone is highly unlikely to lead to any difference that would determine a clear winner from a statistical perspective. Therefore, it is advisable to test completely different versions of the email subject and body text, different graphics, customer benefits (e.g., discount vs. free shipping, percentage vs. specific discount amount), or potentially different products.
How is this report useful?
• Evaluate individual campaigns: Gain detailed insights into the performance and revenue generated by each campaign.
• Improve audience engagement: Analyze engagement metrics to refine your email content and targeting strategies.
• Optimize workflows: Review SmartFlow processes to ensure your campaigns are efficient and impactful.
• Monitor performance trends: Use time-based data to identify what works and adjust your strategies accordingly.
The Campaign Detail report empowers you to make data-driven decisions, improve email marketing efficiency, and maximize the success of your individual campaigns.
Incomaker can be integrated with Google Looker Studio, allowing you to pull data directly from Incomaker.
At the moment, campaign results can be exported to Looker Studio.
Use the following link:
The Campaigns report provides detailed insights into the performance of your email marketing campaigns. It helps you analyze key metrics such as delivery rates, engagement levels, and issues affecting the success of your campaigns. With this data, you can optimize your email strategies to achieve better results. Below is a breakdown of each block and its purpose.
Block 1: Delivery Funnel
This block visualizes the entire lifecycle of your email campaigns, from sending to customer interaction:
• The funnel graph includes the following metrics:
• Sent: Total emails sent (light blue).
• Delivered: Successfully delivered emails (dark blue).
• Opened: Emails opened by recipients (yellow).
• Clicked: Links clicked in emails (green).
• Soft Bounce: Temporary delivery issues (pink).
• Hard Bounce: Permanent delivery failures (black).
• Spam: Emails marked as spam (red).
• Usefulness: Offers a comprehensive overview of your campaign performance, helping you identify where drop-offs occur and which aspects need improvement.
Block 2: Stability Flow
This block monitors the consistency of your email campaigns over time:
• A line graph tracks trends for key variables:
• Emails Sent.
• Delivered Emails.
• Soft Bounces.
• Hard Bounces.
• Spam Reports.
• Usefulness: Allows you to spot trends and anomalies in your campaign performance, ensuring stable and consistent results.
Block 3: Soft Bounce Analysis
This block breaks down temporary email delivery failures (soft bounces):
• A pie chart categorizes soft bounces by error type:
• 421: Email service is busy, try again later.
• 450: Mailbox is busy, try again later.
• 451: Local error, try again later.
• 452: Insufficient space, try again later.
• 455: Server cannot process now, try again later.
• Usefulness: Helps you identify the main causes of soft bounces and take corrective actions, such as resending emails at a different time.
Block 4: Hard Bounce Analysis
This block focuses on permanent email delivery failures (hard bounces):
• A pie chart categorizes hard bounces by error type:
• 500: Error in the email.
• 501: Error in the address.
• 502: Command not understood.
• 503: Commands are out of order.
• 504: Server does not understand the command.
• 550: Mailbox unavailable.
• 551: User not local.
• 552: Mailbox is too full.
• 553: Mailbox name is incorrect.
• 554: Email cannot be delivered.
• Usefulness: Highlights the primary reasons for hard bounces, enabling you to clean your email list and improve your sender reputation.
Table
In the table, you will find all campaigns that took place within the specified time range. Thanks to the “A/B” icon, you can also easily find campaigns that included A/B tests. After clicking on a campaign with an A/B test, you can view the A/B test results in the campaign details.
How is this report useful?
• Optimize email campaigns: Analyze performance metrics to refine your strategies for better delivery, engagement, and conversions.
• Address delivery issues: Use data on soft and hard bounces to resolve common issues and maintain a healthy email list.
• Monitor trends over time: Keep track of campaign stability and spot anomalies to react promptly.
• Maximize engagement: Identify where recipients drop off and adjust your content or targeting strategies to improve interaction rates.
The Campaigns report equips you with actionable insights to enhance the performance and reliability of your email marketing campaigns.
The Abandoned Carts report focuses on analyzing abandoned shopping carts in your e-shop. It provides insights into conversion rates, average order values, time-to-purchase metrics, and customer behaviors related to abandoned carts. By understanding the data in this report, you can implement strategies to recover lost sales and improve your overall conversion rates. Below is a breakdown of each block and its utility.
Block 1: Conversion from Abandoned Carts
This block tracks how effectively you convert abandoned carts into completed orders:
• Displays the average abandoned cart conversion rate and its percentage change compared to previous months.
• A line graph illustrates the monthly trends in conversion rates.
• Usefulness: Helps you measure the success of recovery efforts and evaluate how well your abandoned cart strategies are working over time.
Block 2: Current Value of Abandoned Carts
This block highlights the monetary value of abandoned carts:
• Breaks down the total value into two categories:
• Registered Customers: Value of carts abandoned by registered users.
• Guest Users: Value of carts abandoned by non-registered users.
• Usefulness: Provides clarity on where the most significant potential revenue loss occurs, helping you prioritize recovery strategies for different user groups.
Block 3: Average Order Value (AOV) of Abandoned Carts
This block examines the average order value of abandoned carts:
• Displays the average monetary value of items in abandoned carts and its percentage change compared to the previous period.
• Includes the average number of items in abandoned carts.
• Usefulness: Identifies trends in the value of abandoned carts, helping you tailor incentives (e.g., discounts) to recover high-value carts effectively.
Block 4: Average Time to Cart
This block measures how long it takes customers to add items to their cart:
• Shows the average time from browsing to adding an item to the cart and the percentage change from the previous period.
• Tracks the average number of orders completed from abandoned carts.
• Usefulness: Identifies potential barriers in the initial stages of the shopping process, allowing you to refine your website design and product visibility.
Block 5: Average Time from Cart to Order
This block tracks the time it takes for customers to complete a purchase after items are added to the cart:
• Displays the average time from cart abandonment to completed orders and the percentage change from the previous period.
• Tracks the average number of items converted from abandoned carts.
• Usefulness: Highlights delays in the purchasing process, helping you address friction points that may prevent customers from completing their orders.
Block 6: Average Number of Abandoned Carts
This block provides a snapshot of the total number of abandoned carts over a given timeframe:
• Displays the total number of abandoned carts and their percentage change compared to the previous period.
• A line graph tracks the monthly trends in abandoned carts.
• Usefulness: Helps you monitor the scale of the abandoned cart issue and assess whether your recovery strategies are reducing abandonment rates.
Block 7: Flow of Abandoned Carts
This block visualizes the recovery journey of abandoned carts:
• Tracks metrics such as:
• Emails Sent, Opened, and Clicked related to abandoned cart recovery campaigns.
• Conversions resulting from these campaigns.
• A bar chart breaks down the performance of each stage over time (default: last 12 months).
• Usefulness: Provides detailed insights into the effectiveness of your abandoned cart recovery emails and helps optimize campaigns for higher conversion rates.
How is this report useful?
• Recover lost revenue: Gain a clear understanding of the value and trends of abandoned carts and implement targeted recovery strategies.
• Optimize customer journeys: Identify friction points in the purchasing process and refine your user experience to reduce abandonment.
• Enhance recovery campaigns: Use data on email engagement and conversion flow to improve the effectiveness of your recovery campaigns.
• Focus on high-value opportunities: Prioritize recovering carts with high AOV or those belonging to registered users for maximum impact.
The Abandoned Carts report provides actionable insights to reduce cart abandonment, recover lost sales, and improve the overall shopping experience in your e-shop.
The Deliverability report provides a comprehensive analysis of email campaign performance, focusing on delivery rates, engagement, and issues affecting email deliverability. This report helps you identify bottlenecks in your email campaigns and optimize your strategy to ensure that your emails reach and engage your audience effectively. Below is a breakdown of each block and its usefulness.
Block 1: Delivery Funnel
This block visualizes the entire email delivery journey, from sending to customer engagement:
• The funnel graph includes key metrics, such as:
• Sent: Total emails sent (light blue).
• Delivered: Successfully delivered emails (dark blue).
• Opened: Emails opened by recipients (yellow).
• Clicked: Links clicked in emails (green).
• Soft Bounce: Temporary email delivery issues (pink).
• Hard Bounce: Permanent email delivery failures (black).
• Spam: Emails marked as spam (red).
• Usefulness: Helps you understand where issues occur in the delivery pipeline and provides a high-level overview of your email campaign’s performance.
Block 2: Stability Flow
This block tracks the consistency of email deliverability over time:
• A line graph displays trends for key metrics, such as:
• Emails Sent.
• Delivered Emails.
• Soft Bounces.
• Hard Bounces.
• Spam Reports.
• Usefulness: Allows you to monitor the stability of your email campaigns and identify sudden changes or anomalies in performance metrics.
Block 3: Soft Bounce Analysis
This block provides a detailed breakdown of soft bounces (temporary issues affecting email delivery):
• A pie chart categorizes soft bounces by error type:
• 421: Email service is busy, try later.
• 450: Mailbox is busy, try later.
• 451: Local error, try later.
• 452: Not enough space, try later.
• 455: Server is unable to process now, try later.
• Usefulness: Helps you understand the common causes of temporary delivery issues and take corrective actions, such as resending emails at a later time.
Block 4: Hard Bounce Analysis
This block focuses on hard bounces (permanent email delivery failures):
• A pie chart categorizes hard bounces by error type:
• 500: Mistake in the email.
• 501: Error in the address.
• 502: Command not understood.
• 503: Commands are out of order.
• 504: Server doesn’t understand the command.
• 550: Mailbox unavailable.
• 551: User not local.
• 552: Mailbox is too full.
• 553: Mailbox name is incorrect.
• 554: Email can’t be delivered.
• Usefulness: Identifies the primary reasons for permanent delivery failures, enabling you to clean your email list, fix errors, and maintain a high sender reputation.
How is this report useful?
• Improve email deliverability: Pinpoint issues in the delivery process and address them to ensure that more emails reach your audience.
• Optimize campaigns: Use data on opens, clicks, and bounces to refine your email content, timing, and targeting.
• Identify delivery issues: Analyze soft and hard bounce data to fix common errors and maintain list hygiene.
• Track performance over time: Monitor trends and stability in email campaigns to spot changes early and adjust your strategy accordingly.
The Deliverability report is a powerful tool for enhancing your email campaigns, maintaining a high sender reputation, and maximizing audience engagement.
The Countries report offers a comprehensive overview of how your e-shop performs in different regions and countries. It highlights key metrics such as registrations, conversions, revenue, and customer engagement, providing valuable insights for geographically targeted strategies. Below is a detailed breakdown of each block and its practical uses.
Block 1: Registration by Country
This block tracks the number of customer registrations in different countries:
• Displays total registrations for each country and their percentage changes compared to the previous month.
• Includes a breakdown of registrations by country with national flags for easy identification.
• Usefulness: Helps identify regions where your e-shop is gaining or losing traction, enabling you to target marketing campaigns effectively and explore potential markets.
Block 2: Conversion, Registration, AOV, and More
This block provides a multi-dimensional view of various performance metrics across countries:
• Metrics include conversion rate, registrations, revenue, AOV (Average Order Value), CLV (Customer Lifetime Value), and NPS (Net Promoter Score).
• A line graph displays trends for each metric across all countries, with different colors representing different countries.
• Hovering over the graph reveals precise data and percentage changes for each metric and country.
• Usefulness: Offers a clear comparison of country performance, helping you focus on regions with high potential and refine strategies in underperforming areas.
Block 3: Conversion Flow by Country
This block visualizes the customer journey across different countries using a Sankey diagram:
• Tracks metrics such as:
• Emails sent, open rates, and CTR (Click-Through Rate) by country.
• Abandoned cart CTR and conversion rates.
• Revenue generated in each country.
• Usefulness: Identifies bottlenecks in the customer journey specific to each country, allowing you to optimize email campaigns, abandoned cart strategies, and overall conversions in targeted regions.
Block 4: Country Race
This block uses a scatter graph to compare countries based on key metrics:
• Metrics include:
• Registrations (lowest to highest).
• Open rate, CTR, AOV, CLV, and NPS scores.
• Conversions (lowest to highest).
• Each country is represented by its flag, making comparisons intuitive and visually engaging.
• Usefulness: Quickly identifies top-performing countries across multiple metrics and highlights areas for improvement in lower-performing regions.
How is this report useful?
• Geographic performance analysis: Understand how your e-shop performs across different countries and regions.
• Targeted marketing campaigns: Use insights to focus efforts on high-potential countries or improve performance in underperforming ones.
• Optimize customer journeys: Identify country-specific obstacles in the conversion flow and adjust your strategies accordingly.
• Maximize ROI: Focus resources on regions with high customer lifetime value, average order value, or strong conversion rates.
The Countries report provides valuable data to help you expand into new markets, improve regional strategies, and optimize your global e-commerce performance.
The Retention report focuses on understanding and improving customer loyalty and long-term engagement. It provides insights into repeated purchases, loyalty program performance, customer lifetime value (CLV), and customer satisfaction using Net Promoter Score (NPS). This report helps identify opportunities to retain existing customers and maximize their lifetime value. Below is a description of the blocks and their uses.
Block 1: Repeated Customers
This block provides an overview of customers who have made more than one purchase:
• Displays the total number of repeat customers and their percentage change from the previous month.
• A circle graph visualizes the percentage of repeat customers in three categories (low, medium, and high engagement).
• Metrics include:
• Initial Users: Repeat customers at the start of the selected timeframe.
• New Users: Customers who became repeat buyers during the timeframe.
• Final Users: Total repeat customers by the end of the timeframe.
• Newsletter Subscribers: Percentage of repeat customers subscribed to newsletters.
• Loyalty Program Participants: Percentage of repeat customers enrolled in loyalty programs.
• Usefulness: Helps track retention trends, evaluate the effectiveness of loyalty programs, and identify areas to improve customer engagement.
Block 2: Average Repurchase Time
This block shows the average number of days between a customer’s first and second purchase:
• Displays changes in repurchase time compared to the previous month.
• Usefulness: Helps assess how quickly customers return to make another purchase, indicating satisfaction and product appeal. Shorter repurchase cycles often reflect strong customer loyalty.
Block 3: Average Order Value (AOV)
This block highlights the average order value of repeat customers:
• Shows the AOV in the selected currency and its percentage change from the previous month.
• Usefulness: Identifies trends in customer spending and helps evaluate the success of upselling and cross-selling efforts.
Block 4: Loyalty Program Performance
This block focuses on customers participating in loyalty or membership programs:
• Displays the total number of loyalty program members and their percentage change from the previous month.
• Usefulness: Measures the effectiveness of loyalty programs and provides insights into their impact on customer retention.
Block 5: Customer Lifetime Value (CLV)
This block analyzes the lifetime value of your customers:
• Displays the average and median CLV across all customers.
• A line graph tracks CLV trends over time, helping you understand how lifetime value evolves with different campaigns and strategies.
• Usefulness: Helps you identify high-value customers and plan strategies to increase overall customer value.
Block 6: Net Promoter Score (NPS)
This block measures customer satisfaction and loyalty using NPS:
• Displays the average NPS score with one decimal place and represents it as stars for simplicity (e.g., NPS 10 = 5 stars).
• Tracks changes in the average NPS over time with a line graph.
• Highlights how much the average NPS score has increased or decreased since the last measurement.
• Usefulness: Provides a direct measure of customer satisfaction and helps you monitor the impact of changes in your products or services on customer perception.
Block 7: CLV by Source
This block analyzes CLV based on the source of the customer:
• A bar chart shows the value of CLV segmented by acquisition channels (e.g., social media, search, email).
• Timeframe filters allow monthly or custom period views.
• Usefulness: Identifies which acquisition channels bring the most valuable customers, helping you optimize marketing spend and focus on high-performing channels.
How is this report useful?
• Track customer loyalty: Monitor how effectively you retain customers and identify strategies to increase repeat purchases.
• Evaluate program performance: Assess the success of loyalty programs and NPS scores in fostering customer satisfaction.
• Optimize marketing efforts: Focus resources on channels and strategies that drive high CLV and repeat purchases.
• Plan retention strategies: Use data on repurchase cycles and AOV to create targeted campaigns that keep customers coming back.
The Retention report is a powerful tool for building stronger customer relationships, improving satisfaction, and driving long-term business growth.
The Activity report provides a detailed analysis of how customers interact with your e-shop, from browsing behavior to purchasing habits. It identifies key timeframes for orders and revenue, tracks inactivity, and visualizes customer engagement through heatmaps. This report is essential for understanding customer behavior patterns and optimizing your e-shop’s performance. Below is a breakdown of each block and its practical uses.
Block 1: Browsing Depth to Order
This block measures how many pages customers view before completing an order:
• Displays the average number of pages viewed before a purchase and the percentage change compared to the previous month.
• A line graph tracks browsing depth trends over time, with a monthly resolution.
• Usefulness: Helps identify whether customers are finding what they need quickly or if they’re struggling to navigate the e-shop, offering insights to improve user experience and conversion rates.
Block 2: Best Order Day
This block highlights the day of the week when the most orders are placed:
• Displays the main order day and the average number of orders on that day, along with percentage changes compared to the previous month.
• Usefulness: Identifies peak shopping days, allowing you to schedule marketing campaigns, promotions, and inventory restocks effectively.
Block 3: Best Order Hour
This block shows the hour of the day when the most orders occur:
• Displays the main order hour, average order numbers for that hour, and percentage changes compared to the previous month.
• Usefulness: Helps pinpoint the best times to run time-sensitive promotions or send marketing emails for maximum impact.
Block 4: Best Revenue Time
This block identifies the day and hour that generate the highest revenue:
• Displays the main revenue-generating timeframe, average revenue during that period, and percentage changes compared to the previous month.
• Usefulness: Helps optimize resource allocation and promotional efforts to capitalize on high-revenue periods.
Block 5: Average Time to Order
This block tracks how long it takes customers to complete an order:
• Metrics include:
• Time to Cart: Time from initial browsing to adding an item to the cart.
• Cart to Order: Time from adding an item to completing the order.
• A line graph shows the average time to order trends over time with a monthly resolution.
• Usefulness: Identifies bottlenecks in the purchasing process, enabling you to streamline the customer journey and reduce cart abandonment.
Block 6: Average Period of Inactivity
This block measures how long customers remain inactive before taking action:
• Displays the average inactivity period in days and percentage changes compared to the previous month.
• A line graph tracks inactivity trends over time, with a monthly resolution.
• Usefulness: Helps identify when customers are losing interest and informs re-engagement campaigns to bring them back to the e-shop.
Block 7: Sales Heatmap
This block visualizes orders and revenue distribution across time:
• A heatmap shows when orders and revenue are highest, providing an intuitive overview of customer activity patterns.
• Usefulness: Helps identify peak sales periods and informs decisions on resource allocation and campaign timing.
Block 8: Newsletter Heatmap
This block analyzes customer engagement with your newsletters:
• Heatmaps display opened and clicked rates over time, providing a visual representation of engagement trends.
• Usefulness: Identifies the most effective times for sending newsletters and highlights opportunities to improve email campaign performance.
How is this report useful?
• Optimize customer experience: Analyze browsing and purchasing behaviors to streamline the shopping journey and increase conversions.
• Plan campaigns effectively: Use insights on peak order times and revenue periods to schedule marketing activities for maximum impact.
• Reduce inactivity: Identify periods of customer inactivity and launch targeted re-engagement campaigns.
• Improve email marketing: Leverage newsletter heatmaps to refine email send times and boost engagement.
The Activity report helps you uncover customer behavior patterns, improve user experience, and maximize sales opportunities for your e-shop.
The RFM Advanced report provides a deep dive into customer segmentation based on Recency, Frequency, Monetary Value, and Activity (RFMA). This report helps you evaluate customer engagement and prioritize marketing efforts by identifying high-value customers, inactive users, and potential areas for improvement. Below is a detailed description of each block and its practical uses.
Block 1: Recency
This block evaluates how recently customers interacted with your e-shop:
• Customers are scored on a scale from 1 to 5, where 1 indicates low recency and 5 represents exceptional engagement.
• A circle graph visually categorizes customers into performance levels: Low, Moderate, Good, High, and Exceptional.
• Usefulness: This block helps identify customers who have not interacted recently, allowing you to plan re-engagement campaigns and keep them active.
Block 2: Frequency
This block measures how often customers engage with your e-shop over a given period:
• Scores range from 1 to 5, reflecting customer interaction frequency, with 5 indicating the highest activity.
• A circle graph displays performance levels for easy analysis.
• Usefulness: Use this block to recognize your most loyal customers and craft targeted campaigns to reward and retain them.
Block 3: Monetary Value
This block assesses the total value customers bring to your business:
• Scores from 1 to 5 indicate the monetary contributions of each customer group.
• The circle graph categorizes customers by spending levels, from low to exceptional.
• Usefulness: This block is essential for identifying high-value customers who contribute the most revenue, allowing you to prioritize these groups in your marketing efforts.
Block 4: Activity
This block tracks overall customer activity trends over time:
• A line graph illustrates activity scores (1 to 5) and their trends across months, quarters, or other timeframes.
• It categorizes activity levels into performance ranges, providing a clear picture of engagement dynamics.
• Usefulness: Analyze trends to identify when activity levels drop and adjust your strategies to maintain engagement and prevent customer churn.
Block 5: RFMA Groups
This block segments customers into groups based on their combined RFMA scores:
• A bubble graph visually represents these groups, with bubble size indicating the number of customers in each group.
• Hovering over a bubble reveals the group’s name and detailed metrics.
• Usefulness: Understand your customer base better by visualizing how customers cluster by engagement, loyalty, and value. This information is invaluable for creating precise, data-driven marketing strategies.
Block 6: RFMA History
This block tracks the historical trends of RFMA scores over time:
• A line graph shows changes in group sizes and overall engagement metrics across selected timeframes.
• Hovering over data points reveals detailed insights, including percentages of users in each group and their changes over time.
• Usefulness: This block helps you monitor the effectiveness of your campaigns and customer engagement strategies, enabling you to adapt to emerging trends and shifting customer behavior.
How is this report useful?
• Segment customers effectively: Gain a clear understanding of your customers’ behaviors and categorize them based on their recency, frequency, monetary value, and activity.
• Prioritize marketing efforts: Focus resources on high-value or at-risk customers to maximize ROI.
• Plan re-engagement campaigns: Identify inactive customers and target them with personalized offers or reminders.
• Track trends over time: Monitor how customer engagement evolves and adjust strategies accordingly.
• Visualize customer data: Use intuitive graphs and visualizations to quickly grasp complex data and turn it into actionable insights.
The RFM Advanced report equips you with the tools to build stronger customer relationships, optimize marketing campaigns, and drive long-term business growth.
The Conversions report is designed to give you a comprehensive view of how your campaigns are performing in terms of sales, orders, and conversion rates. It provides insights into revenue trends, campaign effectiveness, and customer engagement. Each block of the report focuses on specific aspects of conversions, helping you make data-driven decisions to optimize your marketing strategies.
Block 1: Campaign Revenue Overview
This block offers a snapshot of the revenue generated by your campaigns over the past week:
• It breaks down total sales, number of orders, and the average, minimum, and maximum order value for the selected period.
• A bar graph shows daily campaign revenue, helping you quickly identify peak days.
• Usefulness: This block helps you understand which campaigns drive the most revenue, enabling you to replicate success and focus on high-performing strategies.
Block 2: Conversion Rate Analysis
This block focuses on email marketing and its impact on conversion rates:
• It provides the average conversion rate for the last month, with percentage changes compared to the previous month.
• Additional metrics include the number of emails sent, opened, clicked, and unsubscribed, all displayed with percentage changes.
• A line graph illustrates trends over time, compressing data into daily segments for easy analysis.
• Usefulness: This block is essential for evaluating the performance of your email campaigns and identifying areas where improvements can boost engagement and conversions.
Block 3: Revenue, Conversions, and Orders
This block provides a high-level overview of your sales performance:
• It shows total revenue, number of conversions, and orders for the selected period.
• A line graph visualizes revenue trends, while a circle graph highlights this month’s revenue and its change from the previous month.
• Usefulness: This block gives you a clear understanding of overall business performance, enabling strategic planning and resource allocation.
Block 4: Revenue and Orders with Candlestick Visualization
This block provides a detailed view of revenue and order trends using an advanced candlestick chart:
• The chart represents a fixed time period (day, week, month, or quarter) and includes:
• Candle edges: Maximum and minimum order prices.
• Bar size and position: Number of orders and their distribution across the period.
• Bar color: Comparison of revenue with the previous period (green for increase, red for decrease).
• Blue line: Median order value.
• The chart supports zooming for detailed analysis and hovering to display metrics such as revenue, orders, and price details.
• Usefulness: This visualization is ideal for identifying trends, comparing periods, and spotting patterns in revenue and order values.
How is this report useful?
• Measure campaign effectiveness: Track revenue, orders, and conversion rates to understand which campaigns are performing best.
• Optimize email marketing: Use detailed email engagement metrics to refine your email strategies and boost customer interaction.
• Identify trends and opportunities: Visualizations like line graphs and candlestick charts help uncover hidden patterns and seasonal trends.
• Strategic decision-making: Use insights from revenue and order data to allocate resources and plan future campaigns effectively.
The Conversions report provides actionable insights to help you increase sales, improve campaign performance, and drive better results for your e-shop.
