Facebook's Power 5 is a set of five automated advertising tactics that work together to improve campaign performance. Introduced by Meta as a best-practice framework, the Power 5 represents the platform's recommended approach to running ads that leverage machine learning effectively.
The five components are:
Each element works independently, but their real value emerges when used together. The Power 5 framework essentially asks advertisers to trust the algorithm with more decisions, in exchange for better performance at scale.
For Facebook advertisers who have been manually optimizing every aspect of their campaigns, this can feel counterintuitive. But the data consistently shows that advertisers who adopt these practices outperform those who insist on manual control across every variable.
Auto Advanced Matching (AAM) improves the connection between actions taken on your website and the Facebook users who took them. It works by automatically sending hashed customer information from your website, such as email addresses, phone numbers, names, and location data, to Facebook when a conversion event fires.
Without AAM enabled, Facebook relies solely on the pixel cookie to match website conversions to user profiles. As browser restrictions on third-party cookies tighten and users browse across multiple devices, cookie-based tracking misses a growing share of conversions.
AAM fills those gaps by sending additional identifiers that Facebook can use to match conversions to users. The result is more accurate attribution, larger retargeting audiences, and better optimization signals for the algorithm.
For ecommerce stores using Shopify or WooCommerce, AAM is typically enabled by default through their Facebook integrations. For custom-built sites, work with your development team to ensure the correct data layer variables are being captured.
The impact is significant. Enabling AAM typically increases custom audience match rates by 10-30% and improves attributed conversions by 5-15%.
Campaign Budget Optimization moves budget control from the ad set level to the campaign level. Instead of assigning a fixed daily budget to each ad set, you set one budget for the entire campaign and let Facebook's algorithm distribute spending across ad sets based on performance.
In a traditional setup, an advertiser might run five ad sets at $50/day each, spending $250/day total. If one ad set performs exceptionally well and another performs poorly, each still receives its fixed $50 allocation.
With CBO, the same $250/day budget is allocated dynamically. The high-performing ad set might receive $150 while the underperformer gets $20. The algorithm rebalances in real time based on which audiences are delivering the best results.
CBO is particularly powerful when combined with simplified account structure because fewer campaigns mean each campaign receives more budget, giving the algorithm more data to optimize with.
This is perhaps the most impactful and least intuitive element of the Power 5. Facebook's recommendation is to consolidate your account into fewer campaigns, fewer ad sets, and fewer ads rather than creating highly segmented structures.
Many advertisers instinctively create separate campaigns for every audience, every funnel stage, and every product line. A typical over-segmented account might have 20+ campaigns running simultaneously, each with 3-5 ad sets containing 2-3 ads.
This feels like control, but it actually works against you because:
A well-structured Facebook account for most advertisers needs only 3-5 campaigns:
Within each campaign, consolidate audiences rather than fragmenting them. Let the algorithm decide who within a broader audience set is most likely to convert.
This structure works especially well for ecommerce brands running catalog-based advertising, where dynamic ads can serve the right product to the right user without manual audience segmentation.
When you create an ad set, Facebook lets you choose where your ads appear: Feed, Stories, Reels, Marketplace, Audience Network, Messenger, and more. Automatic placements means letting Facebook decide where to show each ad based on where it is most likely to achieve your objective.
The hesitation is understandable. Advertisers worry about their carefully designed feed ads being stretched awkwardly into Stories format, or about budget being wasted on low-quality Audience Network placements.
These concerns were more valid in the early days. Facebook has significantly improved how creative adapts across placements, and the algorithm has gotten better at identifying which placements deliver actual results for each campaign.
Across our managed accounts, campaigns using automatic placements consistently achieved 10-25% lower cost per result compared to manual placement selection. The algorithm finds inventory pockets that manual selection misses, particularly in less competitive placements where CPMs are significantly lower.
Dynamic ads automatically show the right products to people who have expressed interest on your website, in your app, or elsewhere on the internet. Instead of manually creating individual ads for each product, you connect your product catalog and let Facebook generate ads dynamically.
The system connects three inputs:
When a user views a product on your site but does not purchase, Facebook can show them an ad featuring that exact product (and similar items) the next time they open the platform. This is dynamic retargeting at its most effective.
Dynamic ads are not limited to retargeting. Facebook's Dynamic Ads for Broad Audiences (DABA) uses machine learning to show products from your catalog to prospecting audiences who have never visited your site.
The algorithm analyzes user behavior patterns, product attributes, and conversion signals to predict which products each user is most likely to purchase. For catalogs with hundreds or thousands of products, this is far more efficient than manual ad creation.
The real value of the Power 5 framework is not any single element. It is how they compound when used together.
Consider the combined effect:
Each element reduces manual control in favor of algorithmic optimization. And each element provides better data to the others, creating a virtuous cycle of improving performance.
Here is a practical sequence for implementing the Power 5 in your account:
The Power 5 framework represents Facebook's clearest articulation of how advertisers should work with, rather than against, the platform's machine learning capabilities. Advertisers who embrace algorithmic optimization and feed the system with clean data and strong creative consistently outperform those who cling to manual control.
The platform has changed. The strategies that worked when manual optimization was superior, including hyper-segmented audiences, manual placement selection, and ad-set-level budgets, now actively hinder performance. The Power 5 is not just a recommendation. For serious Facebook advertisers, it is the operating system for modern campaign management.
There's no question here—we love advertising with Facebook because the platform continues to provide tools for eCommerce markers to reach an ever-broadening audience.
In 2015, Facebook launched Dynamic Product Ads (DPAs), a way for companies to get their ads in front of people who had visited and/or interacted with their Facebook page or website in the past. In 2017, Facebook expanded on this advertising format by launching Dynamic Ads for Broad Audiences (DABAs). This tool dramatically expands the potential reach of Facebook ads, helping eCommerce businesses improve ad performance.
DABAs expand on the concept of DPAs. However, instead of showing your ad to people who have previously interacted with your company, with DABAs, Facebook expands that audience to those people who have searched for a similar product or service to the ones you offer and/or who have interacted with a company similar to yours.
Obviously, this changes the dynamics of these ads from simply "preaching to the choir" to exposing your product to those who want what you are selling, but haven't yet heard of your company.
When you're not preaching to the choir, your ads can pop-and-lock their way to reach expanded audiences.
DABA campaigns aren't limited to Facebook feeds alone. They can appear on any of the Facebook platforms, including Instagram and Audience Network. They can be single-image ads, carousel ads, and collection ads. In addition, these ads are available across devices, including PCs and laptops, as well as mobile traffic.
With more than 2.5 billion registered users on Facebook and another one billion on Instagram, the potential of this marketing tool is difficult to ignore.
DABA campaigns are a great tool for reaching new customers aka top-of-funnel traffic. This ad tool considers the user's interest, behavior, and demographic data when deciding what ads an individual user will see. This can be beneficial when introducing a new product or a new marketing campaign. You can get your product information in front of potential customers who have already expressed interest (via their actions) in a product like the one you are promoting.
To make the most of your DABA campaigns, we suggest the following Best Practices:
1. Make sure that you write your ad to appeal to new customers. Since the goal of DABAs is to attract new customers to your eCommerce business, you want to write your ad to draw in those people. Don't assume in your ad copy that the reader has any knowledge or preconceived notion of your product or business.
2. Use demographics to fine-tune your audience. While Facebook and its subsidiaries have more than four billion registered users, it's not likely that all of them will have an interest in your product (unless you’re selling pizza—we imagine that’s a pretty universal sell 😋).
For example, are you interested in marketing to customers overseas? If not, you can limit your ad placement to US users. Are you looking to drive business to your local eatery? If so, then you'll want to hone your demographic information even more, so that only people within driving distance of your restaurant see your ad.
3. If you're using product sets, make sure to include a good number of products in each set. Facebook uses AI with DABAs to "learn" about its site visitors' preferences and extrapolate what products might interest them tomorrow...or next week. By including a large number of products in your set, the Facebook algorithm has room to work its magic and match a broader number of potential customers with products.
4. Exclude your current customers. Since you are looking for new customers with your DABA campaign, you want to exclude the people who have purchased from you in the past. We suggest those who purchased in the last 30 days. This function is found under "targeting". You exclude these people because you don't want your numbers to be skewed by people who already know and like your products.
5. Engage in ad testing to see what's working. Ad testing (which is an umbrella term for split tests and lift tests) will show you if you should replace some of your existing prospecting campaigns with DABAs.
Setting up a marketing campaign using DABA isn't difficult. It just takes a few steps. The good news is that you only have to do most of these steps once.
Dynamic Ads for Broader Audiences can dramatically transform your business. However, it does take a little bit of time and effort to set up.
At EmberTribe, we've been optimizing social media advertising like DABAs for our clients for several years and can do the tedious legwork for you so that you can concentrate on what you do best—interact with your customers.
To learn more about using Facebook ads for eCommerce and how to make dynamic ads for broad audiences work for you, book a call now!
Search marketing is one of the highest-ROI channels available to growth-stage brands, yet most companies lean too heavily on one side of the equation. They either pour budget into paid search and watch traffic vanish the moment spend stops, or they commit entirely to organic SEO and wait months for results that may never materialize.
The best-performing brands do both, and they do both strategically. Below, we break down exactly how SEO and SEM work independently, where each one excels, and how to build a balanced search marketing plan that compounds over time.
Search marketing refers to getting your website and web pages to rank prominently on search engines like Google and Bing through both paid and unpaid methods.
Ranking well is non-negotiable. Studies consistently show that the vast majority of web users look no further than the first page of search results. With billions of active websites competing for attention, the gap between page one and page two is the difference between visibility and obscurity.
The strongest search marketing strategies combine both organic and paid methods. Organic growth tends to be more cost-effective over the long run, but results take time to build. Once you have established authority, though, those rankings tend to hold. Paid advertising, on the other hand, delivers immediate visibility but disappears the instant your budget runs out.
Understanding this dynamic is the foundation of any balanced search marketing plan.
Search Engine Optimization is the discipline of earning high rankings on search engines through organic, unpaid methods. It requires a combination of content quality, technical rigor, and off-site authority building.
There are three primary pillars of SEO, and each one plays a distinct role in how search engines evaluate your site.
On-page SEO involves everything that lives directly on your web pages. This includes the content itself, how keywords are used, heading structure, meta tags, and image optimization.
The most important factor by far is content quality. Google uses sophisticated machine-learning algorithms to evaluate whether your content genuinely serves the searcher's intent. The algorithm looks at how closely your content aligns with authoritative sources in your field, how long readers stay on the page, and whether the content format matches user expectations.
To optimize on-page SEO effectively, focus on these fundamentals:
A popular planning approach for on-page SEO is the topic cluster model, where pillar pages link to related cluster content. This signals topical authority to search engines and helps users navigate your site more effectively.
Technical SEO covers the behind-the-scenes elements that affect how search engines crawl and index your site. This includes page load speed, mobile responsiveness, site architecture, HTTPS security, XML sitemaps, and structured data markup.
Technical SEO mistakes are some of the most common barriers to ranking. A site that loads slowly or renders poorly on mobile devices will struggle to rank regardless of how strong the content is. Google has been explicit that Core Web Vitals and mobile-friendliness are direct ranking factors.
Off-page SEO is primarily about backlinks, which are links from other websites pointing to yours. Search engines treat backlinks as votes of confidence. The more high-quality, relevant sites that link to your content, the more authority your domain accumulates.
Effective off-page SEO strategies include guest posting on complementary sites, creating linkable research or data assets, and building relationships with industry publications. The key is quality over quantity. A single backlink from a well-regarded industry site carries more weight than dozens of links from low-authority directories.
Without genuinely valuable content, none of the technical optimization in the world will move the needle. Google's algorithm has become increasingly sophisticated at distinguishing between content that was created to rank and content that was created to serve the reader.
The brands that win at SEO consistently are the ones producing content that their audience would seek out even if search engines did not exist. This principle should guide every content decision you make.
Search Engine Marketing uses paid advertising to place your web pages at the top of search engine results pages. We call this a rent-to-own approach: you pay for prime positioning while building the organic authority needed to hold those positions without ad spend.
Through platforms like Google Ads, you bid on keywords and phrases that represent your business. When a user searches for something matching your keywords, your ad competes for placement at the top of the results page. You only pay when someone clicks through to your site, which is why this model is often called pay-per-click (PPC).
When you set up a Google Ads campaign, you select target keywords, set a daily or monthly budget, and create ad copy that appears in search results. Google runs an auction for each search query, weighing your bid amount against your ad's Quality Score, which factors in ad relevance, expected click-through rate, and landing page experience.
This means that simply outbidding competitors is not enough. Brands that invest in high-quality landing pages and ad relevance can often win top placements while spending less per click than competitors with weaker ads.
SEM is particularly valuable in several scenarios:
The trade-off is clear: SEM delivers immediate results, but those results are directly tied to your budget. Stop spending, and the traffic stops.
It is worth noting that a meaningful percentage of users deliberately skip paid ads in search results. These users prefer organic listings, either out of habit or because they associate organic results with greater trustworthiness. By relying exclusively on SEM, you miss this segment entirely.
The honest answer is that the right balance depends on your specific situation. It depends on your industry, your goals, your budget, and the time horizon you are working with.
SEO is the better investment when you have more time than budget. If you can commit to producing high-quality content consistently, building backlinks through outreach, and keeping your site technically sound, then SEO will deliver compounding returns over time. Once you earn a top-three organic position for a valuable keyword, the ongoing cost of maintaining that position is a fraction of what it would cost to hold the same visibility through paid ads.
SEO is also essential for building long-term brand authority. When your brand consistently appears in organic results for industry-relevant searches, it reinforces credibility with potential customers in a way that paid ads cannot replicate.
SEM is the better choice when you need results now. If you are launching a new product, entering a new market, or running a time-sensitive promotion, SEM gets you in front of the right audience immediately. It is also valuable for testing. Before investing months of effort in SEO content for a given keyword, you can run paid ads to validate whether that keyword actually drives qualified traffic and conversions.
SEM is also a practical necessity in highly competitive verticals where organic ranking timelines stretch into years rather than months.
The most effective search marketing plans use SEO and SEM together as complementary strategies rather than competing alternatives.
Here is how the combination works in practice. You use SEM to drive immediate traffic and conversions while simultaneously investing in SEO content and technical optimization. As your organic rankings improve, you can gradually shift budget away from paid keywords where you now rank organically. Over time, your cost per acquisition decreases because a growing share of your traffic comes from organic search.
This is the rent-to-own model. You pay first for positioning, and you eventually own that positioning through the strength of your content and domain authority. Brands that execute this strategy well often see their overall marketing ROI improve significantly as organic traffic begins to supplement and eventually replace paid traffic for key terms.
Building a balanced plan requires more than simply running SEO and SEM in parallel. It requires coordination between the two.
Start by understanding where you stand. Identify the keywords you currently rank for organically, the keywords you are paying for through SEM, and where the gaps exist. Tools like Google Search Console, SEMrush, and Ahrefs can provide this data.
Classify your target keywords by purchase intent (informational, navigational, transactional) and competitive difficulty. High-intent, high-competition keywords are good candidates for immediate SEM investment. Lower-competition, informational keywords are often better served by SEO content that builds topical authority.
One of the most underutilized advantages of running both channels is the data feedback loop. Your SEM campaigns generate real conversion data that reveals which keywords, messaging, and landing pages drive revenue. Use this data to prioritize your SEO content calendar and allocate resources to the organic keywords with the highest proven revenue potential.
As your SEO efforts produce results, systematically reduce SEM spend on keywords where you have achieved strong organic positions. Reinvest that budget into new keyword opportunities or higher up the funnel where organic coverage is still thin.
Track search marketing performance as a combined channel. Monitor total search traffic (paid plus organic), blended cost per acquisition, and the ratio of organic to paid traffic over time. The goal is to see the organic share increase steadily while overall search traffic and conversions grow.
SEO and SEM are not competing strategies. They are two sides of the same coin, and the brands that treat them as a unified system consistently outperform those that pick one or the other.
If you are early stage with limited organic authority, start with SEM to generate traffic and revenue while you build your content foundation. If you have been running ads for years but have neglected SEO, now is the time to invest in the organic side before rising CPCs erode your margins.
The goal is a search presence that delivers both immediate results and long-term compounding value. That only happens when SEO and SEM work together.
Facebook unveiled a new way of monetizing live online events in 2020 and we were quick to take this new feature for a test drive.
Before we give you the details of our experience, first let’s take a look at the details of paid online events.
The need for Facebook paid online events arose from COVID-19 shutdowns that required large gatherings to either shut down or move to a totally virtual format. Enterprising businesses began using Facebook Live broadcasts more frequently to engage customers even when they couldn’t be together.
Facebook paid online events allow businesses to monetize their live online events by charging a one-time access fee collected upon guest registration. The goal is that businesses can create an event, get registrants, and collect fees all in one place—and then host their event from that same platform.
This is a pretty neat, accessible idea, especially for businesses with fewer resources on-hand to facilitate online events.
Your page is eligible for paid events as long as you’re in compliance with:
✔️ Facebook's Partner Monetization Policies
✔️ Paid Online Events Terms and Conditions
✔️ Apple's App Store Guidelines for In-App Purchases
✔️ Google Play’s Monetization and Ads Policy
Plus, your Page has to be in a region where paid online events are available.
You can check your Page’s eligibility for monetization by going to Creator Studio > Monetization > click the View Page Eligibility button in the Status widget at the top of the page.
💡 Promote your event to increase registrations and raise awareness to new audiences.
💡 Start your live stream early to tackle those pesky technical difficulties that can occur when starting an event online.
💡 Communicate expectations for your event so that registrants know what’s going to happen. Post a schedule in your event description or in posts on the event.
💡 Change the date and time if you have no purchases but still want to hold the paid event. This will give you more time to reach registrants.
💡 Only post content you have the rights to and make sure it’s in compliance with community guidelines.
EmberTribe scheduled a paid online event for one of our clients and ran an event response campaign to promote it. Here’s what we learned from our first experience with paid online events through Facebook.
The pros: solid targeting, good clickthrough rates, and good CPMs.
The cons: with $1000 spent, we only got 4 sales and $80 in revenue.
What we learned: While it’s possible that not enough people were interested in the topic or the price was too high, we believe that ultimately the problem is with event response campaigns themselves.
With event response ads, people don't even need to visit your event page. They can just click "interested" and continue scrolling through their feed. We theorize that's what most people who saw the ads were doing.
Our takeaway: Paid online events might be successful if you have really good organic reach, but we’re now wary about putting a big advertising budget behind them. If you do run an event response campaign, it's probably best to just do retargeting.
Facebook made its recommendation guidelines public, and there is a lot for marketers to unpack. With ongoing pressure on the platform to better manage problematic content, this move represents a significant step toward transparency for businesses and content creators operating on both Facebook and Instagram.
Understanding these guidelines is not optional for brands that rely on organic reach. Content that violates recommendation criteria will not be surfaced to new audiences - effectively limiting your distribution to existing followers only. For growth-focused companies, that distinction can mean the difference between a post reaching 500 people and 50,000.
Before diving into the restrictions, it helps to understand what Facebook recommendations actually are. Recommendation experiences are the platform's algorithmic surfaces that introduce users to content from accounts they do not already follow. These include:
These recommendation surfaces represent some of the most valuable organic real estate on the platform. When your content qualifies for recommendations, it reaches users who are predisposed to engage with your brand - but have not yet discovered you. Losing access to these surfaces significantly limits organic growth potential.
Facebook has organized its recommendation restrictions into five categories. Content in these categories is allowed to remain on the platform but will not be recommended to users who do not already follow the account.
This category targets content that, while not explicitly violating community standards, sits close enough to the line that Facebook does not want to amplify it. Examples include:
The resharing provision is particularly important for brands. Even if your original content is clean, resharing a borderline post from another account can affect your recommendation eligibility.
Facebook applies extra scrutiny to content in categories where misinformation can cause real-world harm:
For brands in the health, wellness, or financial services space, this means your content strategy needs to be built on substantiated claims and educational value rather than hype-driven messaging. Factual, well-sourced content is far more likely to qualify for recommendations than promotional material.
This category is essentially Facebook's war on engagement bait - tactics that generate clicks and interactions but leave users feeling annoyed or deceived:
For marketers accustomed to using contests as a growth lever, this restriction changes the calculus. While contests are still allowed, they will not be amplified through recommendations. That means you need to weigh the value of engagement from existing followers against the loss of potential discovery by new audiences.
Facebook's quality standards target content that does not meet a minimum bar for originality and credibility:
This category reinforces the importance of original content creation. Brands that rely heavily on curating and resharing third-party content may find their recommendation eligibility declining over time. Investing in original thought leadership, proprietary data, and unique perspectives is the more sustainable path to organic reach.
The final category addresses factual accuracy:
For businesses, the practical implication is straightforward: ensure every claim in your social content is accurate and can be substantiated. A single post flagged by fact-checkers can impact your entire page's recommendation eligibility.
The recommendation guidelines create a clear dividing line between content that can grow your audience and content that only reaches people who already follow you. For brands investing in organic social as a growth channel, optimizing for recommendation eligibility is now a core strategic consideration.
Recommendation restrictions do not operate in isolation. Facebook's algorithm evaluates pages holistically, meaning a pattern of posting restricted content can suppress the recommendation eligibility of your entire page - not just individual posts. One borderline post will not destroy your reach, but a consistent pattern will.
This is why regular content audits matter. Review your posting history through the lens of these five categories and remove or archive content that could be flagged. Think of it as maintaining your page's algorithmic credit score.
Brands that have been banned from Instagram Ads or Facebook Ads face additional penalties: their pages will not be recommended at all. This creates a compounding problem where advertising policy violations bleed into organic performance.
For brands running paid campaigns alongside organic content, maintaining clean ad accounts is now doubly important. An ad disapproval issue does not just affect your paid performance - it can throttle your organic growth as well.
Based on these guidelines, here are actionable steps every social media team should implement.
Review your page's content history and align it with Facebook's recommendation criteria. Pay special attention to:
Remove or archive anything that could be pulling down your page's overall recommendation eligibility.
If your brand operates multiple Facebook pages that post identical or near-identical content, deactivate the redundant ones. Facebook's quality signals penalize pages that appear to exist solely to amplify the same content across multiple accounts.
Consolidate your social presence around a single authoritative page with original content.
Pages that have purchased likes, followers, or engagement in the past will not be recommended. If your page has a history of bought followers, consider whether the inflated follower count is actually hurting you more than helping. A page with 10,000 genuine followers will outperform a page with 100,000 purchased followers in the recommendation algorithm.
Follower quality also affects your engagement rate, which is a key input to Facebook's distribution algorithms. Low engagement rates signal to the algorithm that your content is not resonating - further reducing reach.
The common thread across all five restriction categories is that Facebook wants to recommend content that genuinely benefits users. Content that educates, informs, entertains, or inspires will always outperform content designed to manipulate engagement metrics.
Practical ways to create recommendation-eligible content include:
Facebook regularly updates its recommendation guidelines as the platform evolves. What qualifies for recommendations today may not qualify tomorrow, and new surfaces for recommendations are added regularly.
Assign someone on your team to monitor the Facebook Business Help Center and adjust your content strategy as policies change. Proactive adaptation is always less costly than reactive damage control.
These recommendation guidelines reflect a broader shift across all social platforms toward quality-first content distribution. The algorithms that power content recommendations are increasingly sophisticated, and platforms are rewarding authenticity, originality, and user value while penalizing manipulation and low-effort content.
For brands that have always prioritized genuine value creation, these guidelines are not a threat - they are a competitive advantage. As platforms tighten their criteria, brands that cut corners will lose distribution while those that invest in quality will gain it.
The bottom line: align your content strategy with what Facebook's algorithm wants to recommend, and the platform will do the distribution work for you. Fight against it, and you will find yourself paying for every impression.
If you’re using Facebook ads, the Facebook pixel is a huge asset.
You should be using this key tool to realize the full potential of your social ad budget. With a little learning under your belt, you can use the pixel to gain major advantages for your results.
Facebook Pixel refers to code on a website that measures an advertising campaign’s effectiveness by interpreting the actions visitors take on the website.
In other words, the Facebook Pixel is an analytics tool that helps you track the conversion rate generated from Facebook ads and builds the target audience for future ads. Businesses can use it to ensure that their ads go to the right people.
It sounds a little weird, right? We train horses, dogs, sometimes dragons…
But a snippet of code is a whole other animal.
Training your pixel means that you don’t run a campaign with the purpose of getting a huge profit but rather to find the right audience. When you find the right audience, conversions should naturally follow.
The only conversion that you can optimize for without a pixel is link clicks. On the other hand, a pixel makes it possible for you to optimize a variety of conversion types in close alignment with the goals and aims of the business.
The Facebook pixel allows you to gain insight into how people interact with your website and allows you to track customers across the various devices. To put it simply, it can track whether the customers saw your ads on mobile and turned to the desktop before making a purchase, or the other way around.
It’s the real brains of your Facebook advertising operation.
To sum up, training your pixel is essential because it creates a customized audience that will most likely convert and turn into a lead by learning about your audience.
This brings us to the next point.
The Facebook ads delivery system uses machine learning to optimize for results. The delivery system collects more insights about the right target audience each time one of your Facebook ads is displayed (or as ad pros say, “served”).
You’ll know that your ad is in the learning phase because the Delivery column in your ads manager will indicate the ad set is “Learning.”
The learning phase is a critical time for Facebook’s machine learning to kick in and collect helpful information that will help you optimize your campaign. Thanks to the learning phase, you can get information that can take your ads from running on your assumptions to running on a data-backed hypothesis.
The learning phase is typically defined by 50 conversions that need to occur per ad set within one week’s time. Sometimes this number might be more, sometimes less, depending on your particular niche. We like to say 50 is a good rule of thumb, but not a magic number.
Now this part is important. It might go against your instincts to tweak and optimize, but during the learning phase you should avoid changing any of the following:
You can’t touch these!
Because if you do, Facebook will start the whoooole thing over again. Basically, by trying to tweak with variables during the learning phase you’re not allowing Facebook the chance to properly learn.
It would be like introducing a new topic in math class every day and expecting a student to master the information on the fly. Not fair.
FEATURED RESOURCE: This one-pager walks you through the stages of the Facebook learning phase. Ditch the confusion and master Facebook learning!
At this time, Facebook has had the chance to explore all the best possible options to deliver your ad set.
Each time your ad was shown, the delivery system learned how to optimize your ad’s performance. This in turn helps you learn what ad strategies are working for your business and which ones you can toss out.
If you don’t get past the learning phase, Facebook will let you know that the ad set came back as “Learning Limited” — the ad set is not getting the required number of conversions for optimization or the system predicts that the ad set won’t be able to garner enough optimization events in the coming future.
It’s not the end of the world, but it does mean you’ll have to try again with a different ad set. We really value failure here, so even though Facebook comes back as “learning limited,” it’s definitely possible for you, the advertiser, to make educated adjustments to your ad creative to improve on future ads.
👍 If you’re not getting to that 50 conversion benchmark for purchases, try moving up the funnel and adjusting your ads for things like link click, page views, etc. That way you’re more likely to get the ad set through the learning phase and you’re getting more eyes on your ads (always a good thing). Once you’re optimized for top of funnel conversions, you’ll be better set up for bottom of funnel conversions.
👍 Run fewer ad sets in the beginning of your process. Remember: quality over quantity! If you have a limited budget, focus on a few key ad sets early on that you can really get through the learning phase as quickly as possible with a solid basis for scaling your ads for conversions.
👍 If you're not getting whatever the objective is that you’re going after, it could be that your ad creative just isn't hitting right with your target audience. So try testing new ad creative. Try out creating multiple ads, changing up the headline, making other bold changes to the ads before you enter the learning phase and see if any of these succeed.
Just like training a dog, training your Facebook pixel takes a lot of time, flexibility, and patience. But if you stick with it and make it through that learning phase to start optimizing, your pixel will be able to fetch you better results.
Advertising on Facebook is not for the weak-willed. There’s a lot to know and a lot to learn about Facebook ads to master Facebook marketing skills. That’s one of the reasons there are so many educational resources about Facebook advertising—there’s so much to know!
Luckily, the overlords folks at Facebook have produced tons of learning materials for us lowly marketers.
The Facebook Blueprint certification exams are targeted to digital marketers looking to demonstrate advanced proficiency using Facebook advertising services across platforms. There are 8 total certification levels:
One of our own EmberTribers, Joe, set out to test what a Facebook Blueprint Certification Exam is like and determine if it’s worth the hassle. He took the 100 level “Digital Marketing Associate” course as his test. After finishing his exam (passed with flying colors!), he reported back to us about his experience.
Here’s what he had to say:
Some other questions that our team had for Joe about the process:
Do you think the 100 certification is necessary for Facebook competency?
No, this level is not too difficult and covers a lot of the basics that any seasoned Facebook advertiser would already have under their belt. Taking the certification exam for the 100 level is more of a resume builder than a knowledge builder for those already familiar with Facebook digital marketing.
Was there a fee attached?
Yes, the fee for each exam is $99.
Is it a lifetime or time-limited certification?
The certification is good for 1 year.
Facebook's Blueprint course is a great foundational tool for advertisers. But what about the spaces "in-between" where many marketers find themselves wondering how to address using ads for growth?
Since our agency's inception, we've profitably spent more than $100 million on Facebook runnings ads for ourselves and our clients. We wanted to put all of this practical knowledge to work by creating a free Facebook ads training course for founders who are serious about growing their business with paid ads.
If you're not familiar with Facebook ads yet, you will want to start with the Facebook Blueprint course. Once you're done, we recommend bookmarking our free Facebook ads course or signing up for lessons sent directly to your email inbox.
In these training modules, we outline strategies and tactics that you won't find in the Facebook help section. Take time reviewing these training videos to learn from our deep knowledge of Facebook ads.
Digital marketers seeking a higher level of proficiency in Facebook ads should consider studying up on the 200 and up level certification to get the most bang for their buck. The certification itself, while nice to have, isn’t necessary to become a competent Facebook advertiser, but the lessons can help you boost your skill level.
And if you’re not comfortable learning the ins and outs of Facebook, it might be a good idea to bring in someone steeped in Facebook ad success. Hey, we know some people 😉.
Earlier this year, Facebook announced a new user interface that would overtake so-called “classic Facebook” in September. This means bye-bye 👋 to the old look and hello to a refreshed, updated interface. One of the main motivations for switching to a new Facebook interface (or FB5 as they call it) is a company-wide pivot toward privacy-focused communications.
Another big motivation is simply that Facebook’s desktop UI has remained essentially unchanged for years, and what worked in 2012 doesn’t really translate to a great 2020 user experience. Oh, how time passes...
What the new design addresses:
Among the changes in the new interface:
Unfortunately for Facebook, the UI change has been received with very mixed reviews, and despite the months-long lead time on changes, it seems likely that people will continue to have to grapple with getting used to “new Facebook” for a while.
The new Facebook design has triggered quite a few (negative) emotions from users. The change was made permanent on September 1, 2020, so users and Facebook engineers will have to adapt and make the best of a new situation.
A quick search for “Facebook interface” on Twitter shows that a lot of people aren’t loving the updates, and some are even reporting issues with the desktop interface loading. Well, anyone who has ever done anything knows that it’s impossible to please everyone, so these mixed reviews are far from shocking.
Some common criticisms (so far):
Well, truth be told, our team feels pretty lukewarm toward these changes. However, since we’re in the business of paid social, a big interface change like this could have unexpected influence over Facebook advertising strategies. To put it plainly: the success of Facebook ads is intrinsically tied to the functionality and popularity of Facebook itself.
With web browsing increasingly trending toward mobile usage, this change seems like a warranted update to accommodate evolving preferences.
It’s hard to say right now if these changes will turn out to be positive for the overall user experience or anger frequent Facebook users to the point of no return. But from a personal point of view, if users haven’t been deterred by previous Facebook updates, scandals, and complaints, this remodeled UI seems unlikely to push users away.
For now, Facebook advertising is safe (and we love to see it!). If you're ready to run Facebook ads that get results, let's talk.
Facebook's Power 5 is a set of five automated advertising tactics that work together to improve campaign performance. Introduced by Meta as a best-practice framework, the Power 5 represents the platform's recommended approach to running ads that leverage machine learning effectively.
The five components are:
Each element works independently, but their real value emerges when used together. The Power 5 framework essentially asks advertisers to trust the algorithm with more decisions, in exchange for better performance at scale.
For Facebook advertisers who have been manually optimizing every aspect of their campaigns, this can feel counterintuitive. But the data consistently shows that advertisers who adopt these practices outperform those who insist on manual control across every variable.
Auto Advanced Matching (AAM) improves the connection between actions taken on your website and the Facebook users who took them. It works by automatically sending hashed customer information from your website, such as email addresses, phone numbers, names, and location data, to Facebook when a conversion event fires.
Without AAM enabled, Facebook relies solely on the pixel cookie to match website conversions to user profiles. As browser restrictions on third-party cookies tighten and users browse across multiple devices, cookie-based tracking misses a growing share of conversions.
AAM fills those gaps by sending additional identifiers that Facebook can use to match conversions to users. The result is more accurate attribution, larger retargeting audiences, and better optimization signals for the algorithm.
For ecommerce stores using Shopify or WooCommerce, AAM is typically enabled by default through their Facebook integrations. For custom-built sites, work with your development team to ensure the correct data layer variables are being captured.
The impact is significant. Enabling AAM typically increases custom audience match rates by 10-30% and improves attributed conversions by 5-15%.
Campaign Budget Optimization moves budget control from the ad set level to the campaign level. Instead of assigning a fixed daily budget to each ad set, you set one budget for the entire campaign and let Facebook's algorithm distribute spending across ad sets based on performance.
In a traditional setup, an advertiser might run five ad sets at $50/day each, spending $250/day total. If one ad set performs exceptionally well and another performs poorly, each still receives its fixed $50 allocation.
With CBO, the same $250/day budget is allocated dynamically. The high-performing ad set might receive $150 while the underperformer gets $20. The algorithm rebalances in real time based on which audiences are delivering the best results.
CBO is particularly powerful when combined with simplified account structure because fewer campaigns mean each campaign receives more budget, giving the algorithm more data to optimize with.
This is perhaps the most impactful and least intuitive element of the Power 5. Facebook's recommendation is to consolidate your account into fewer campaigns, fewer ad sets, and fewer ads rather than creating highly segmented structures.
Many advertisers instinctively create separate campaigns for every audience, every funnel stage, and every product line. A typical over-segmented account might have 20+ campaigns running simultaneously, each with 3-5 ad sets containing 2-3 ads.
This feels like control, but it actually works against you because:
A well-structured Facebook account for most advertisers needs only 3-5 campaigns:
Within each campaign, consolidate audiences rather than fragmenting them. Let the algorithm decide who within a broader audience set is most likely to convert.
This structure works especially well for ecommerce brands running catalog-based advertising, where dynamic ads can serve the right product to the right user without manual audience segmentation.
When you create an ad set, Facebook lets you choose where your ads appear: Feed, Stories, Reels, Marketplace, Audience Network, Messenger, and more. Automatic placements means letting Facebook decide where to show each ad based on where it is most likely to achieve your objective.
The hesitation is understandable. Advertisers worry about their carefully designed feed ads being stretched awkwardly into Stories format, or about budget being wasted on low-quality Audience Network placements.
These concerns were more valid in the early days. Facebook has significantly improved how creative adapts across placements, and the algorithm has gotten better at identifying which placements deliver actual results for each campaign.
Across our managed accounts, campaigns using automatic placements consistently achieved 10-25% lower cost per result compared to manual placement selection. The algorithm finds inventory pockets that manual selection misses, particularly in less competitive placements where CPMs are significantly lower.
Dynamic ads automatically show the right products to people who have expressed interest on your website, in your app, or elsewhere on the internet. Instead of manually creating individual ads for each product, you connect your product catalog and let Facebook generate ads dynamically.
The system connects three inputs:
When a user views a product on your site but does not purchase, Facebook can show them an ad featuring that exact product (and similar items) the next time they open the platform. This is dynamic retargeting at its most effective.
Dynamic ads are not limited to retargeting. Facebook's Dynamic Ads for Broad Audiences (DABA) uses machine learning to show products from your catalog to prospecting audiences who have never visited your site.
The algorithm analyzes user behavior patterns, product attributes, and conversion signals to predict which products each user is most likely to purchase. For catalogs with hundreds or thousands of products, this is far more efficient than manual ad creation.
The real value of the Power 5 framework is not any single element. It is how they compound when used together.
Consider the combined effect:
Each element reduces manual control in favor of algorithmic optimization. And each element provides better data to the others, creating a virtuous cycle of improving performance.
Here is a practical sequence for implementing the Power 5 in your account:
The Power 5 framework represents Facebook's clearest articulation of how advertisers should work with, rather than against, the platform's machine learning capabilities. Advertisers who embrace algorithmic optimization and feed the system with clean data and strong creative consistently outperform those who cling to manual control.
The platform has changed. The strategies that worked when manual optimization was superior, including hyper-segmented audiences, manual placement selection, and ad-set-level budgets, now actively hinder performance. The Power 5 is not just a recommendation. For serious Facebook advertisers, it is the operating system for modern campaign management.
Have you scrolled through your Facebook feed and had a good product review catch your eye? Maybe you even ended up buying a product because you were swayed by a positive review from a friend, a relative, or even other online users you don’t really know.
That, my friend, is a result of social proof!
Social proof is social influence derived from the same principle as “word of mouth.” It generally inspires trust between your potential customer and users who leave testimonials about a certain product or service you offer.
Social proof doesn’t just rely on reviews or feedback — it’s also about what people see in your public social engagement such as the number of reactions, comments, and shares your ad receives.
If your ad gained around 1,000 likes whether organically or not, a customer’s natural reaction is to find out why. All thanks to a social phenomenon called FOMO or “fear of missing out,” people always want to know what the next big thing is.
Social proof is part of almost every successful social media marketing campaign and can negatively or positively impact customer’s purchase behavior.
When a customer is in a brick and mortar store, they have full capacity to weigh out options and directly see which product is the best for them. Things are a lot more complicated when shopping online.
Your potential customer needs an external factor to rely on to make a decision — and this is where social proof steps in.
The key to having effective social proof is using specific and authentic user-generated content (such as reviews) in your ads that are targeted to warm audiences. Your warm audiences are people who are already familiar with your products and just need a bit of a nudge to make that purchase.
Your Facebook campaigns can contain reviews that are not too in-your-face or too dry and unexciting. Although reviews are not exactly reactions or shares on your actual ad, they still showcase how other people love your brand and your products.
You can fit these testimonials into your ad copy or creative image into your actual ad depending on the length. Here are 4 stunning social proof examples used in Facebook ads.
Review in headline:
Review in ad:
Review in ad text:
Yup, you read that right — Facebook has ad text rules that you need to be wary of before running your campaign.
Facebook’s advertising guidelines include a 20 percent text rule. This specifically means that your image text cannot take up more than 20 percent of the photo. Facebook typically suggests no more than 500 characters and an image that is 400x400 pixels for News Feed ads, simply because they perform and drive results better.
Keep in mind that you can test your ad photos with Facebook’s Text Overlay Tool and see if they fit the standards before officially running your Facebook ads.
How will you use social proof to engage audiences?
In this post:
Check out this TribeTalk from our Marketing Specialist, Kathryn Betancourt chatting with our Director of Operations, J.P. VanderLinden, and one of our Growth Specialist, Melanie D'Angelo.
This helps pull data into Amazon but there are still issues for how to pull data OUT to other systems. It's not perfect, but it's more than we've had before, and it might be enough for folks to start exploring.
We've also discovered thatSellerly, a collection of Amazon business tools by Semrush, offers excellent marketing tools for Amazon listings designed to make selling on the marketplace easier and more effective. If Amazon's data insights are still not sufficient for you, give Sellerly a try!
Marketers understand that different ad types work better at different parts of the funnel. For example, Search is great at BOFu, Display at TOFu, etc. But what about how they work together?
Google released a report that marketers advertising on YouTube saw better conversion volume and rates from their Search campaigns. Specifically, Search conversions were 8% higher, conversion rates were 3% higher, and Search CPAs dropped 4%.
We all know that advertising on YouTube increases brand awareness and ad recall. The big questions are: Is this something driven by traditionally understood marketing practice? Or is Google itself actually influencing the algorithm to favor buyers who spend across multiple components of it's ad platform?
Regardless of what’s going on Google’s side, we recommend testing YouTube. Don’t just measure the direct performance, also measure the "halo effect" on other channels like Search & Social.
Yabba DABA Do!! Let’s discuss Facebook DABA campaigns. We think these campaigns have a lot of value for our clients.
Most folks think of Dynamic Ads as only supporting retargeting your website visitors and app users, limiting your audience size to the number of people who’ve interacted with you in the past. That’s why, despite the great performance, the possible investments advertisers have been able to make have been fairly restricted — typically, the biggest share of their budgets goes to acquiring new customers.
To help advertisers reach these audiences with top-performing ads, Facebook now offers the possibility to expand the reach of Dynamic Ads campaigns outside retargeting audiences.
Facebook’s Dynamic Ads for Broad Audiences (DABA) expands your dynamic ads to reach beyond your website or app visitors to generate demand. DABA campaigns serve personalized recommendations based on browsing activity and showcase the relevant inventory from your catalog to people likely to purchase.
Unlike lookalike audiences and retargeting site visitors, broad audience targeting captures intent in other places like:
DABA campaigns will have your potential customers saying….
What questions do you have for us? Have you tried DABA campaigns? Are you running YouTube ads? Comment below.
Managing over $200 million in Facebook ad spend across dozens of accounts and industries changes the way you think about paid social. Patterns emerge that you cannot see at smaller budgets. Assumptions get challenged. And the lessons that stick are rarely the ones you expect.
This is not a theoretical framework or a list of best practices pulled from documentation. These are the lessons we learned by spending real money, making real mistakes, and tracking real results across ecommerce, SaaS, and lead generation campaigns.
Whether you are spending $500 a month or $50,000, these principles apply. The scale may differ, but the underlying mechanics of what makes Facebook advertising work have remained remarkably consistent.
The single biggest threat to campaign performance is not audience saturation, algorithm changes, or rising CPMs. It is creative fatigue.
When the same audience sees the same ad too many times, performance does not decline gradually. It falls off a cliff. Click-through rates drop, cost per acquisition spikes, and the algorithm begins deprioritizing delivery because engagement signals weaken.
Across our accounts, we found that most static image ads begin to fatigue after 7-10 days of consistent delivery at moderate budgets. Video ads tend to last slightly longer, around 14-21 days, because they offer more visual variety within a single asset.
We built a creative rotation system that ensures fresh ads enter the mix before existing ones fatigue. The practical approach:
The brands that sustained performance at scale were the ones that treated creative production as an ongoing operation, not a one-time project.
One of the most common scaling mistakes we observed was trying to push more budget into audiences that were too small to absorb it. Facebook's auction system becomes less efficient when your audience pool is exhausted, driving up costs and reducing delivery quality.
Through testing across multiple accounts, we identified practical audience size thresholds:
When we hit scaling ceilings, the solution was almost never to increase the budget on the same audience. Instead, we expanded horizontally by adding new audience segments, testing new lookalike sources, or broadening interest targeting.
At high spend levels, audience overlap between ad sets becomes a significant issue. Two ad sets targeting different interest groups might share 60% or more of the same people. This creates internal auction competition, inflates CPMs, and wastes budget.
We learned to run overlap analyses monthly and consolidate ad sets that shared more than 30% of the same audience. This single practice consistently reduced CPMs by 10-20% across accounts.
At lower budgets, the difference between bid strategies is marginal. At higher spend levels, the wrong bid strategy can cost you thousands.
Our testing revealed clear patterns:
The critical mistake we saw repeatedly was using lowest cost bidding at scale. As budgets increase, Facebook's algorithm broadens its targeting to spend the full budget, which often means reaching less qualified users. Cost caps force the algorithm to maintain efficiency even at higher spend levels.
Every new ad set enters a learning phase where Facebook's algorithm is still figuring out who to show your ads to and when. During this phase, performance is volatile and CPAs are typically 20-50% higher than steady state.
We learned the hard way that interrupting the learning phase is one of the most expensive mistakes you can make. Making significant edits to an ad set, including budget changes greater than 20%, audience modifications, or creative swaps, resets the learning phase entirely.
Interest targeting, behavioral targeting, and demographic targeting all have value. But nothing comes close to the performance of custom audiences built from your own first-party data.
Across every account we managed, the highest ROAS consistently came from:
The accounts that invested in building and maintaining their first-party data assets, including keeping their pixel well-trained, uploading enriched customer lists, and segmenting email subscribers by engagement, consistently outperformed those relying primarily on Facebook's built-in targeting.
How you set your attribution window fundamentally changes what the data tells you. A 7-day click, 1-day view attribution window will show dramatically different ROAS numbers than a 1-day click only window.
After extensive testing, we standardized on these attribution practices:
The key insight is that your attribution window should match your buyer's actual purchase timeline. Using the wrong window either over-attributes or under-attributes revenue to your Facebook campaigns, leading to misallocated budget.
Over the course of managing $200 million in spend, we navigated iOS 14.5 privacy changes, the deprecation of detailed targeting options, the rise and maturation of Advantage+ campaigns, and multiple algorithm updates.
The accounts that maintained performance through these changes shared one trait: they adapted quickly. They did not cling to strategies that worked before the change. They tested new approaches aggressively and doubled down on what the new environment rewarded.
Specifically, the shift toward broader audiences, first-party data reliance, and creative volume has been the most significant strategic evolution. The advertisers who embraced these trends early gained a meaningful competitive advantage.
You do not need a massive budget to benefit from these insights. Here is how to apply them at any scale:
$200 million in ad spend did not teach us any single magic tactic. What it taught us is that sustainable Facebook advertising performance comes from systems, not hacks. The brands that win are the ones that build disciplined processes around creative production, audience management, data quality, and continuous testing.
The tactics will keep evolving. The fundamentals will not.
Most business owners running digital ads are trained early on to focus on ROAS. By definition, “return on ad spend” sounds like it MUST be the holy grail metric of digital marketing. You’ve spent money on advertising with the expectation that in return, you will receive revenue.
However, few words sum up the panic and despair you feel when, in the early days of your ad campaigns, you see $150 in Shopify revenue on one tab and $500 in ad spend on the other.
⬆️ Level up your ROAS with Snapchat ads. →
For most business owners, it’s impossible not to lose sight of the long-term goals.
In that moment, it’s important to take a step back and consider the bigger picture of what you’re trying to achieve, both as a company and in your digital campaigns.
The digital marketplace is complex. There are countless variables that influence whether or not someone buys from you.
😱 Are your analytics lying to you? →
Ad creative, ad copy, price, promotions, free shipping, the purchase process, trust in the brand, trust in the website, customer service, other sites selling the same product, other sites selling similar products, people who sit on a cart to decide – and then forget.
Every one of these variables – and many more – have a direct impact on whether you will get a return on your ad spend. And whether your company will be around in 6 months.
However it’s impossible to know, much less get these critical factors, right if your sole mission statement is to increase ROAS month over month.
Knowing and understanding what creates a growing and sustainable buying process requires time, iterating, testing and repeating – all of which require some ad spend.
No one wants to hear this: investing money to know your buyers’ process and what will make your company successful will lower your ROAS, as some of your money is diverted to testing. But invest, you must.
Founders are engineered to trust their gut, sometimes to a fault. They don’t want to spend money – or time – on iterating and testing because they are sure their assumptions are correct.
💊 Hard to swallow pill: Facebook ads don't always work. Here's why. →
The unfortunate reality is that the longer you begrudge ad spend on testing, the more money you waste on less effective ads, the lower your ROAS, and the longer you’re wasting money and suffering a low ROAS.
For instance, you may have perfected a BBQ rub that you sell out of every weekend at the local farmer’s marketing. You’re positive that as soon as you get your online store up and some ads running, your greatest obstacle will be keeping up with inventory. I mean, people LOVE this stuff. 😋
You get a Shopify account and start to run some ads. The ads are driving a lot of traffic to your site – you may even be getting some adds to cart. Unfortunately, your orders are bumping around 3 a day.
You may have forgotten to account for some of those critical variables or external factors we mentioned – like trust-building elements, shopping flow, technical issues and shipping issues. No one is buying from you for one or many reasons.
This is a classic case of "You don’t know what you don’t know."
Credit: peerinsight.com
However, now that ads are driving traffic to the site, testing various usual suspects, you come to understand that people need some convincing with testimonials, BBQ awards logos, reviews, free samples – and they need free shipping to push past the finish line.
🍨 Get the scoop on conversion rate optimization. →
These external factors can be smoked out as quickly as possible (pun intended, see what we did there?), removing obstacles to people buying – and increasing that flow of ROAS back to you. But more importantly, you’re building a stronger company and a brand with staying power. You now know what’s important to your customers and are removing barriers that frustrate them. This is an exercise in growth marketing!
Let’s say your investment in market research by way of ad traffic pays off, and you get to a comfortable ROAS. It’s tempting to assume you’re good to coast into retirement on the back of your world class BBQ blend.
You may have hit a ROAS that makes you happy, but it’s important to continue viewing that number as one indicator metric of many. Even when it’s trending upward, it cannot become the focal point of your business.
As a growing company, it’s important to turn your attention and an allotment of your ad spend to understanding bigger metric fish: like the lifetime value of each customer.
And what makes one customer more valuable than another, and how do you specifically target more valuable customers?
Which customers are more likely to advocate for your product, resulting in more customers and more sales?
FEATURED RESOURCE: Use this spreadsheet to calculate critical KPIs like CPA, target ROAS, and gross profit.
Your main objective for the first few months of any digital campaign should be to come away with a deadly accurate pulse on your market conditions, your purchasing audience, what compels them to pay for your product and any obstacles getting in the way of paying for your product.
Armed with this knowledge, you can make critical decisions around HOW to market your product in digital ads, through a keen understanding of your audience’s pricing tolerance, preferred messaging and detailed targeting.
For the first phase of your digital campaign, ROAS is simply the cherry on top. You’re building the sundae from the bottom up, starting with:
While any business owner would jump at the above information, few actually get there. Far too many are dissuaded from the testing it takes to uncover this valuable information by one difficult truth: These kinds of objectives are often at odds with increasing short-term ROAS.
Unlocking seven or eight figures of revenue might mean taking a hit on the first few months of ad spend. Brace yourself – it may be even more with big ticket items or those with a long purchase path. That's not a bad thing if you're laying the foundations for long-term success!
🏫 Want to get schooled? Check out our free training resources. →
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