{"id":59121,"date":"2025-01-14T15:36:26","date_gmt":"2025-01-14T23:36:26","guid":{"rendered":"https:\/\/www.kochava.com\/?p=59121"},"modified":"2025-09-22T09:23:53","modified_gmt":"2025-09-22T16:23:53","slug":"how-to-interpret-marketing-mix-modeling-data","status":"publish","type":"post","link":"https:\/\/www.kochava.com\/ko\/blog\/how-to-interpret-marketing-mix-modeling-data\/","title":{"rendered":"How to Interpret Marketing Mix Modeling Data"},"content":{"rendered":"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\r\n

MMM can seem counterintuitive\u2014but is your best compass for optimizing ROI<\/h2>\r\nMarketing teams have long relied on last-touch attribution to measure and optimize their efforts. It\u2019s simple and straightforward, allowing them to assign direct credit to the last marketing touchpoint leading to a conversion. But the simplicity of last-touch attribution is also its greatest weakness: It doesn\u2019t give a holistic view of how various marketing channels and other external factors work together to drive results. That\u2019s where marketing mix modeling (MMM) comes in.\r\n\r\nIf you\u2019re new to marketing mix modeling, its output might seem counterintuitive at first glance. But there\u2019s a method to what may seem like madness\u2014rooted in advanced data science, complex algorithms, and a deeper understanding of how marketing truly works.\r\n\r\nIn this article, I\u2019ll break down why MMM recommendations can seem counterintuitive and provide an analogy to help explain the logic behind this. Understanding why this happens will help you grasp MMM and make smarter, data-driven decisions.\r\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\r\n

How Does Marketing Mix Modeling Differ From Last-Touch Attribution?<\/h2>\r\nMMM looks at a broader picture than last-touch attribution. Instead of focusing only on the last click or impression before a conversion, MMM analyzes how all your channels\u2014digital and traditional\u2014work together over time. It takes into account factors such as:[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=”yes” column_margin=”40px” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all” class=”difference”][vc_column_inner column_padding=”padding-2-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/3″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”1px” column_border_color=”#e6e6e6″ column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]Seasonality<\/span><\/strong>\r\nDoes your target audience act differently during a specific time of year?[\/vc_column_text][\/vc_column_inner][vc_column_inner column_padding=”padding-2-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/3″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”1px” column_border_color=”#e6e6e6″ column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]Diminishing Returns<\/span><\/strong>\r\nIs a channel performing well but hitting the point where more spend won\u2019t result in more conversions?[\/vc_column_text][\/vc_column_inner][vc_column_inner column_padding=”padding-2-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/3″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”1px” column_border_color=”#e6e6e6″ column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]Ad Stock<\/span><\/strong>\r\nHow long do the effects of a particular ad last, and how should this affect your current spend?[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=”yes” column_margin=”40px” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” top_padding=”15″ text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all” class=”difference”][vc_column_inner column_padding=”padding-2-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/3″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”1px” column_border_color=”#e6e6e6″ column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]External Factors<\/span><\/strong>\r\nWhat market influences affect your business outcomes? Things like national holidays, major sporting events, or even the weather can impact how your marketing mix performs.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_padding=”padding-2-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/3″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”1px” column_border_color=”#e6e6e6″ column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]Media Source Interactions<\/span><\/strong>\r\nHow are interactions among your different media sources affecting overall performance? For instance, TV often interacts with search ads\u2014viewers might see a TV commercial, then perform a search related to the featured product.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/3″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default” offset=”vc_hidden-xs”][\/vc_column_inner][\/vc_row_inner][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]MMM captures all the complex dynamics a simpler attribution model might overlook.<\/strong><\/em>\r\n\r\nThese calculations produce actionable recommendations that may look illogical to an experienced marketer encountering MMM for the first time.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\r\n

Why MMM Recommendations Can Seem Counterintuitive<\/h2>\r\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=”yes” content_placement=”middle” column_margin=”70px” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]Let\u2019s say that you\u2019ve set a cost-per-acquisition (CPA) target for your campaigns. After plugging your data into a platform such as AIM (Always-On Incremental Measurement) by Kochava, the system gives you recommendations on where to allocate your budget. But here\u2019s the twist: It might recommend increasing spend on a channel with high CPA and<\/em> reducing spend on a channel with low CPA.<\/strong>[\/vc_column_text][vc_column_text css=”.vc_custom_1736973857156{margin-top: 25px !important;}” text_direction=”default”]Wait\u2026 what??? Why?<\/strong>\r\n\r\nThe MMM engine is doing something more sophisticated than simply comparing CPA across channels. It\u2019s optimizing budget based on your entire marketing mix, taking into account factors including cost curves, seasonality, and diminishing returns.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][image_with_animation image_url=”59128″ image_size=”full” max_width=”100%” max_width_mobile=”default” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default” margin_bottom=”0″][\/vc_column_inner][\/vc_row_inner][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]Using IronSource and Google Ads as examples:\r\n
    \r\n \t
  • A high CPA on Google Ads might still be more efficient than a low CPA on IronSource, depending on where each channel sits on its cost curve. If Google still generates returns even with a high CPA, while IronSource has reached a point of diminishing returns, then increasing Google\u2019s budget might give you better overall returns.<\/li>\r\n \t
  • Diminishing returns:<\/strong> Just because a channel has a low CPA (IronSource) doesn\u2019t mean it can infinitely deliver at the same cost. If you pump more money into the channel, cost per acquisition might rise significantly, whereas a channel with higher CPA (Google) might still have room to scale up.<\/li>\r\n<\/ul>\r\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\r\n

    Understanding the Cost Curve: A Deeper Dive<\/h2>\r\nTo help you understand why MMM might recommend decreasing spend on a network with a lower CPA while increasing spend on another with a higher CPA, let\u2019s break down the concept of cost curves<\/strong> and why they\u2019re crucial for making optimal decisions. Once again, we\u2019ll use IronSource and Google Ads as an example.[\/vc_column_text][image_with_animation image_url=”59126″ image_size=”full” max_width=”100%” max_width_mobile=”default” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default” margin_top=”25″ margin_bottom=”25″][vc_column_text css=”” text_direction=”default”]A last-touch attribution system<\/strong> doesn\u2019t consider cost curves. This means it looks at only a simple average over time. Let\u2019s say your CPA target is $10<\/strong>, and IronSource reports that over a month, it has delivered acquisitions at exactly $10<\/strong>. On the surface, this appears to meet your expectations.\r\n\r\nHowever, what last-touch attribution doesn\u2019t show you is that IronSource may have delivered 80 of these acquisitions at $6.25 each<\/strong> but another 20 at much higher costs<\/strong>\u2014bringing the overall CPA to $10. Those higher-cost acquisitions often happen once you reach a point of diminishing returns<\/strong>, meaning that the early part of your budget is spent efficiently, but further investment yields much lower returns.\r\n\r\nHere\u2019s the breakdown:\r\n
      \r\n \t
    • The first $500<\/strong> spent on IronSource may deliver 80 acquisitions<\/strong> at $6.25 each<\/strong>, which is extremely efficient.<\/li>\r\n \t
    • The next $500<\/strong> spent may deliver only 20 acquisitions<\/strong>, and at $25 each<\/strong>\u2014far above your target CPA.<\/li>\r\n<\/ul>\r\nSo, while the average CPA over the month seems to hit your target of $10, in reality, you\u2019ve hit diminishing returns\u2014and further spend on IronSource won\u2019t be efficient.\r\n\r\nThis is exactly where an MMM system comes in. An MMM model doesn\u2019t look at just averages<\/strong>; it calculates the marginal returns<\/strong> on every dollar spent. The system understands the performance curve of each channel and how to maximize return on your total budget.\r\n\r\nIn the case of IronSource:\r\n
        \r\n \t
      • The MMM model recognizes that the first portion of your spend is highly efficient, delivering results well below your CPA target.<\/li>\r\n \t
      • Once you\u2019ve hit the point of diminishing returns, however, the model realizes that continuing to spend more on IronSource will result in escalating costs without delivering additional value.<\/li>\r\n<\/ul>\r\nNow, the key insight from MMM is this: It may recommend spending 10% less on IronSource and reallocating it to Google Ads<\/strong>. Even though Google might have a higher CPA at first glance, the model might calculate that it can still deliver consistent results and, at a certain spend level, provide far greater return on investment compared to IronSource.\r\n\r\nBy redistributing that 10%:\r\n
          \r\n \t
        • IronSource<\/strong> remains efficient, hitting its sweet spot without overspending.<\/li>\r\n \t
        • Google Ads<\/strong>, despite its seemingly higher CPA, is tapped into its broader scale, enabling you to drive more acquisitions without hitting a hard point of diminishing returns.<\/li>\r\n<\/ul>\r\nIn essence, MMM calculates how to allocate your budget across channels to achieve maximum ROI, balancing efficiency with scalability. The model ensures that you\u2019re not just meeting your CPA target\u2014you\u2019re getting the best possible return from every dollar spent across your entire marketing mix.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\r\n

          Analogy: Choosing the Best Car for a Road Trip<\/h2>\r\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=”yes” column_margin=”60px” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]Let me offer an analogy that might make this clearer:\r\n\r\nImagine you\u2019re going on a long road trip and have two cars, Car A and Car B. Car A gets 30 miles per gallon (mpg)<\/strong>, while Car B gets 50 mpg<\/strong>. At first glance, you might think Car B is the better choice because it\u2019s more fuel-efficient, just as you might think a marketing channel with a lower CPA is always the best.\r\n\r\nBut here\u2019s the catch: Car A has a larger fuel tank<\/strong> and can drive much farther without needing to stop for gas. Car B, although more efficient, has a smaller tank<\/strong> and requires frequent stops to refuel.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][image_with_animation image_url=”59127″ image_size=”full” max_width=”100%” max_width_mobile=”default” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default”][\/vc_column_inner][\/vc_row_inner][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]Now, your goal is to reach your destination as quickly as possible, and stopping frequently to refuel will slow you down. In this scenario, Car A<\/strong>\u2014even though it burns more fuel per mile\u2014can get you to your destination faster because it can go farther before stopping.\r\n\r\nIn this analogy:\r\n
            \r\n \t
          • Car A<\/strong> represents a marketing channel with a higher CPA but much more scale.<\/li>\r\n \t
          • Car B<\/strong> represents a channel with a lower CPA but limited scale.<\/li>\r\n<\/ul>\r\nMMM helps you choose the option that gets you to your \u201cdestination\u201d\u2014your marketing goals\u2014most efficiently, even if it means spending more on a channel with a higher CPA.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\r\n

            Trust the Data Science Behind the Recommendations<\/h2>\r\nWhen marketing mix modeling offers a recommendation that seems counterintuitive\u2014like increasing spend on a high-CPA channel or reducing spend on a low-CPA one\u2014it\u2019s because the system is processing far more variables than a human operator could possibly consider.\r\n\r\nMMM takes into account a massive volume of data points that interact in complex ways. For instance, the system evaluates performance metrics over time, understanding seasonality, managing the interplay among media sources, and predicting how each additional dollar spent impacts performance. No human can process all of these variables simultaneously.\r\n\r\nA human might be able to look at a few metrics\u2014like CPA or total spend\u2014across a couple of channels and make adjustments. But MMM incorporates thousands<\/strong> of data points, from cost curves<\/strong> and external factors<\/strong> to media interactions<\/strong> and diminishing returns<\/strong>, to produce its optimization.\r\n\r\nMMM helps you manage not only your performance goals, like hitting your CPA target, but also how best to allocate a fixed budget. For instance, if your goal is to spend a million dollars per month<\/strong>, AIM shows you the best way to allocate that spend, even if it means you won\u2019t hit your target CPA perfectly. Alternatively, if your goal is to hit a specific CPA and you program the system for that, AIM may recommend spending less than your million-dollar budget to meet that CPA target. The system is designed to balance your goals, giving you the most efficient way to use your resources.\r\n\r\nIn short, MMM makes recommendations that go far beyond human capacity for manual optimization, incorporating multiple, overlapping layers of information to aid your decision making.\r\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\r\n

            Final Thoughts: Embracing the Power of MMM<\/h2>\r\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=”yes” content_placement=”middle” column_margin=”40px” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/3″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][image_with_animation image_url=”59123″ image_size=”full” max_width=”100%” max_width_mobile=”default” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default”][\/vc_column_inner][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”2\/3″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]Marketing mix modeling might feel unfamiliar and counterintuitive at first, especially if you\u2019re coming from a last-touch attribution mindset. But trusting the system\u2014and understanding the depth of analysis behind its recommendations\u2014will unlock new levels of efficiency and ROI for your campaigns.\r\n\r\nJust as you wouldn\u2019t choose the car with the smallest fuel tank for the quickest long road trip, you shouldn\u2019t assume the lowest CPA channel is necessarily the best. MMM gives you the full picture, enabling you to make smarter, more holistic marketing decisions.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]By leveraging AIM, you\u2019re able to make data-driven, strategic choices that optimize your entire marketing mix\u2014even if the recommendations initially surprise you!\r\n\r\nWant a consultation on your current media mix? Get in touch with the AIM team<\/a>.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]","protected":false},"excerpt":{"rendered":"

            [vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left”…<\/p>\n","protected":false},"author":83,"featured_media":59122,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27,257],"tags":[],"class_list":{"0":"post-59121","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-education","8":"category-marketing-mix-modeling"},"_links":{"self":[{"href":"https:\/\/www.kochava.com\/ko\/wp-json\/wp\/v2\/posts\/59121","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kochava.com\/ko\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kochava.com\/ko\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kochava.com\/ko\/wp-json\/wp\/v2\/users\/83"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kochava.com\/ko\/wp-json\/wp\/v2\/comments?post=59121"}],"version-history":[{"count":5,"href":"https:\/\/www.kochava.com\/ko\/wp-json\/wp\/v2\/posts\/59121\/revisions"}],"predecessor-version":[{"id":59352,"href":"https:\/\/www.kochava.com\/ko\/wp-json\/wp\/v2\/posts\/59121\/revisions\/59352"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kochava.com\/ko\/wp-json\/wp\/v2\/media\/59122"}],"wp:attachment":[{"href":"https:\/\/www.kochava.com\/ko\/wp-json\/wp\/v2\/media?parent=59121"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kochava.com\/ko\/wp-json\/wp\/v2\/categories?post=59121"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kochava.com\/ko\/wp-json\/wp\/v2\/tags?post=59121"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}