2024 Marketing Planning Strategies Fireside Chat
The end of the year means it’s time to plan marketing strategy. Resources on campaign planning aren’t hard to come by, but how do you find information that isn’t generic or irrelevant? DESelect hosted a panel of Salesforce Marketing Cloud experts to discuss concrete marketing plans that strengthen your bottom line and get the most out of SFMC. Here are the key takeaways from the webinar:
- Deep Dive Analytics for Strategy Insights: The speakers emphasized the importance of directly asking customers for feedback, suggesting the use of NPS surveys within emails. This approach not only provides actionable insights but also helps reduce unsubscribes by allowing customers to express their opinions before they disengage completely.
Evaluating Campaign Effectiveness: The discussion highlighted the need to balance top-of-funnel and bottom-of-funnel strategies. Analyzing metrics like capital efficiency, speed to conversion, and tech stack effectiveness is crucial. The speakers also stressed the importance of integrating data from different sources to create a comprehensive view of campaign performance.
Managing Marketing Fatigue: The webinar discussed the negative impacts of overloading customers with content, leading to unsubscribes and damaged brand perception. Monitoring clickthrough rates and unsubscribe rates over time is essential to gauge customer sentiment and adjust strategies to prevent saturation.
First-Party Data Collection: As privacy regulations tighten and third-party data becomes less reliable, the speakers advised focusing on first-party data collection. Marketers should leverage direct engagement tactics like surveys and contests to gather valuable data for segmentation and personalization.
AI Integration in 2024: The discussion around AI adoption focused on the importance of aligning AI tools with business objectives. Effective change management is key, ensuring that teams are on the same page before integrating new AI solutions. The speakers also noted that while AI can drive efficiency, it should be implemented to solve specific problems rather than being adopted indiscriminately.
Personalization and Behavioral Targeting: The webinar highlighted innovative examples of personalization, such as tailoring content based on user behavior in real-time. For instance, sending emails aligned with a customer’s progress in a video game or personalizing TV ads based on purchase history were mentioned as effective strategies.
Planning for 2024: The speakers concluded with advice on planning for the upcoming year, emphasizing the need to measure the impact of new strategies, stay ahead of trends, understand customer interaction preferences, and ensure successful AI adoption through detailed change management processes.
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Reporting capability so I’m just going to start here on the left so this is where we can set the date range so what date do we want to look at so let’s say that I’m just interested in the data uh from the last two weeks as you can see immediately we are seeing this graph here um um I’ll come to the pie chart in a second but in the table here we can see okay in total we sent uh we sent messages to 1,520 people of which 793 were included and 727 were excluded again this is excluded based on campaigns that were planned campaigns that were actually sent and the rules so if you have a rule for example that says we will not send more than one email per day to a contact UM and you plan two campaigns to be sent on the same day then for one of the two that contact will be excluded for the first one the contact would be included or not necessarily the first one the one with the highest priority because you can assign different priorities to different campaign types um which allows the platform to Define yeah which ones should we send and which ones should we not send given the rules how do we optimize everything best but so coming back to this if we don’t select any filters if we don’t select any grouping we’ll see a total um which is visualized also in this nice graph so in the graph here we do see that same 52% of people that we’re seeing uh here which is the people that were included for the other 47% we do see different uh slices of of red where each slice represents the main rule that ex that caused the exclusion so if I have a rule here uh for example three cents per day um like 10% of the people here did not receive a certain communication because we were hitting that rule because we were trying to send more than three emails per day to these people so as you can see by default I applied no filters I applied no grouping and I I’ll like I’ll report on the total but what we can also do is dive into
Filtering by channel and campaign type
Jonathan: specific uh channels campaign types or contact categories so let’s say I’m interested only in email that I can apply that filter here and you see that in that case my data looks a bit different um you can also select multiple channels as um as like together as one so that’s very useful and then we can do the same for campaign types so if I want to see like how well is my uh my campaign type offer doing uh when it comes to these rules again you can you can do a deep dive please know that you can create different rules for different campaign types so you can say for example um we can send three offers in a week but we’re never going to send more than one newsletter in a month and then last type of filter that we make available here is the contact categories so all your contacts can be put into different categories um contact can also have multiple contact categories as one uh at once depending really on on your use case on what makes sense but a typical example would be we have customers we had leave we have leads we have prospects and you may want to treat those people differently maybe say okay to Elite I’m not going to send more than two emails in a week but to an active customer we can send more we have a tighter relationship there they do expect more maybe so you can have different rules so again uh you can filter down uh like diving into just one specific lead for example or you can go
Grouping Filters
Jonathan: do a combination of these different filters like I want to see when it comes to leads uh and only the email Channel what does my data looklike okay uh so that’s for the filter and then the last thing that I want to show here is the grouping so as I said before if I’m not doing any grouping I will just see this total row but uh I Can also show the data grouped by a channel so in that case each line here is going to represent one channel so I have SMS postal Channel email push um I’ll also call it out we do have a deleted line here that’s because we had one channel which we later deleted but we did still we do still have those those historical records right we do still know that a sent happened on the channel so that’s how we we decided to deal with it but um as you can see super useful to slice and dice data in the way that you find useful so you can do that by both Channel campaign type by different types of campaigns and uh contact category right so again just to summarize we do have um the pie chart here the different slices represent the different rows or sorry the different rules that caused the exclusion so different rules that were hit like the three cents per day uh so that would be an indication if you say okay I’m happy that 10% of my my contacts are not receiving a communication because we have this rule of three cents per day perfect uh if you see that oh maybe 50% of my people are not receiving because I have a certain rule um you know that’s uh maybe a basis for you to to look at that rule again and reconsider um again you can filter on channels campaign types and contact categories we do always show a total as as well um but you can also Group by any of these Dimensions to slice and dice the data in the way that you see use find useful so again why would you want to do all of this um is to look at how your saturation control program is performing uh if any of the rules that you have need um need to be tweaked if any of the prioritizations that you have need to be tweaked um you can slice and Di data the way you want to you can look at the different date ranges that you find useful um uh and so again this is really to help you fine-tune your um strategy when it comes to frequency capping uh but also prioritization of different uh campaign xz individual sends and contexts
Kyra: questions um no questions in the chat yet um I did just want to explain here um that this feature um is basically um expanding the current um reporting features that we had where you can drill down into individual sends and contexts um this new View kind of gives you um that more general information that like Jonathan mentioned can influence your strategy a bit better um and give you that broader view that I think you need when you are determining um all of your campaign prioritizations um so if you don’t have any yeah go ahead well actually now that
Going deeper into the details: Tags and reasons for exclusions
Jonathan: we’re not on the topic I I may as well just quickly show like um I did already show how you can look like on a on a campaign level we call it sense here uh like globally you can just see like the main numbers here which you can also go deeper like if I go to my sneakers promo I can see some details uh of that scent so I have a name I can have a description campaign type the channel as I said we can have different priorities we can also assign tags to it uh so a teag could be whatever Dimension whatever information you find useful so it could be like B2B b2c um or like a name of a campaign or strategy or whatever is useful for you there also we see that result but here users can also go deeper into the details so also here we can see all the different rows like all the different contexts that were included in this campaign we can see if they were excluded or included uh again with those reasons for the exclusion you can also see at what time descent happened or the decision was made so this is this is normally when the contact goes through Journey Builder uh when it hits the Engage component Little Penguin where we make the decision yes this contact should receive this sent or no they should not at this point um so that’s why you can have all that information here um you can also hear search for specific contact so this really allows you to uh yeah to find the outcome for this campaign for one specific contact and if you want to go even deeper you can then click through to that contact and see okay for this specific contact which can have certain contact category uh which can uh here you can also see when was the last time that contact went through a journey you will also see that same kind of representation where which rules caused the Conta to be excluded from certain sends and then here you see all the the historical sense that happened for this contact UM and if available also any plan sense so this is really the 360 view I know it’s uh it’s like a really overused word that really just provides you the all the insights with all the sends that happened for contact all the plan sense that happened which for each of those sends whether the contact was included or excluded or would be included or excluded in the future all
Q&A
Kyra: right all right well I um if we’re done in the product with the live demo um we’ll hop back over um do these slides give me one moment um and we have um time for Q&A now um if you have any questions like I’ve said uh please drop them in the Q&A um little chat window at the bottom um while everybody is maybe prep prepping their questions um we do have a free checklist for you um we have a full checklist put together in our resources section of the website that is the left QR code on whether or not a frequency capping solution could really benefit your your organization um there are a series of questions you can ask yourself and your team maybe to determine if this would be a good fit for you um if you’re viewing all this stuff and you already feel like it’s a great fit um you want to learn more the DESelect Engage landing page is that QR code on your right so feel free to scan either of those um you can always reach out through the website or you can contact us uh directly Jonathan or myself um and we’ll get you any information you need um so don’t ask your questions I have a question for you
Kyra: Jonathan um how long would you say a an Engaged setup takes if you have to configure all of those custom settings
Jonathan: so the setup in Engage is typically quickly done like you can do it in half an hour or so so what we see with our customers is that it’s it’s more the decisions that they have to
make as an organization beforehand that take a bit longer uh because typically you do want to align with uh different departments um it’s often also not very clear like who should actually decide how many messages you want to send to to people um but especially when it comes to the prioritization let’s say we have a slightly larger uh company with uh 10 marketers in the department each marketer is the responsible for a different product or a different type of
campaign then they have to agree upon a certain um priority between those different scents and that’s not always easy um without a frequency capping solution or a prioritization solution that in in reality that translates to a weekly meeting uh where it’s more like politics and who can shout the loudest that determines who can uh do their sense first which then typically means that uh they they reach like the biggest audience um but once you’re once you have had that conversation internally um it’s really objective uh the system handles it for you there’s no more like politics to it um and and you can get the optimal outcome for everyone involved both the marketers and the and the respondents in the end the contacts that you that you reach out
to I mean amazing um
Kyra: I think we have one other question in the queue but my Zoom UI has disappeared because I’m sharing my screen I know are you able to read the question oh yeah I can see um and
Jonathan: how complicated is the process uh so I assume the question is how complicated the process is for setting up Engage so there I would say yeah it’s really it’s quite straightforward so we do the installation that takes about 15 minutes um and then you have access to the view that I shared before so you see the calendar um yes there are a few things that you can set up so what do we need to know what are the different campaign types that you work with so as I showed campaign types could be up offers newsletters refer friend and soon another thing we want to know is do you have different categories of contacts what we call contact categories so there the only thing we we request is that you create one data extension that contains all your contacts where where we can where you assign each of them to one or multiple uh context categories so we know who are the leads who are the prospects if you want to apply different rules for those different uh people um and then with those uh and then also lastly just indicating which channels you want to use and then with those things set up you can start defining those rules and those rules can be very easy like no more than three emails per week or no more than uh one SMS per month or as a last example uh no more than three emails per week for a certain campaign type but uh we can allow five per month for another campaign type or for certain contact categories so once that is set up the system will just start processing every day is going to uh recalculate uh So based on the events that you put on your calendar is going to yeah see for each of the contexts what is in store what what sense happen for this contact what cents are being planned and it will continuously make the evaluations of include this contact from this campaign exclude this contact from that campaign um so it’s go it’s pretty smooth
Kyra: yeah and of course if you were setting that up you would have one of our customer success managers guiding you through that entire process so you wouldn’t be alone in the setup um and our team would make sure you get the best results possible exactly yeah okay if we don’t have any more questions um I do think this is a great stopping point um like I said before if anybody on the call wants to see Engage a bit deeper please do book a demo with us um and we will get you a more personalized demo and we can drill down into any feature you would like to see further good all right thank you so much Jonathan for your time um and we’ll catch everyone on the next one thank you
Jonathan: Again if anyone has any questions I’m available please reach out to me or using the the QR codes here happy to help great have a great day everyone bye bye Jonathan or myself um and we’ll get you any information you need.
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