How can I get more new customers like my best existing customers? ✨️ Is not a question, I get asked very often. I think possibly it's because CEOs, marketers and digital specialists aren't aware of the data gems you can find in your own Google Analytics and Google Search Console accounts. Even many Google Ads professionals stick to analysing data in Google Ads. When I first started in digital back in 1999, Google Analytics had yet to launch and we'd have to rely on server log counts to get traffic numbers and checkung in with the sales team to learn what leads converted to sales. Fast forward 20 years and we could track conversions and revenue in Google Analytics if set up correctly until GDPR arrived and we needed to gain consent via cookie banners to enable user tracking for marketing and remarketing purposes. Meaning up to 50% of our user data vanished due to declining cookies. Ouch 🥺 Now I think perhaps it's because I like to explore a new platform. Every time a new platform or version or update arrived, I go systematically through every screen, pressing all the buttons to see what happens. I must admit, GA4 was the steepest learning curve, my brain had to go through for a while but thankfully our Certified GA4 Specialist, Anne Charlotte Fleury made a 1 day GA4 course and tested it out on the ThoughtShift team back before the switchover from Universal Analytics in July 2022. What I found was that my favourite reports, the channel report, landing page report, Google Search queries report and Google Ads query report were all still there (even though Google has also unhelpfully moved their location since launch). So in GA4 you can still see: 👉 marketing sources driving traffic, leads and revenue 👉 landing pages driving traffic, leads and revenue 👉 search queries the website is found in Google search results for by impressions, clicks, leads and revenue 👉 Paid Google Search queries driving traffic, leads and revenue Armed with this data, my favourite approach is to slice and dice the data by highest volume of leads/revenue and highest conversion rate/highest average order versus highest traffic with no leads or revenue to identify where my best customers are coming from and what marketing I can test pausing to fund the best opportunities to gain more best customers with the saved budget proven not to deliver leads or revenue. Testing is critically important in making data-driven digital marketing decisions as if you do only have half the data reported, you need to consider having a statistically significant sample to begin with and know you can always reverse engineer the changes you made if you are carefully monitoring the impact and see a down side. Of course seeing an uplift is when you can do a little dance and go looking for more data gems to leverage 😎 How do you use GA4 and other data insight tools to bring more of your best customers to you? #GA4 #GoogleAnalytics
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If you’re running #GoogleAds campaigns (and who isn’t? 😀), one of the most important things to do is to get the measurement right - especially the part which sends data back to the advertising platform. Google advertising has become automated to a large degree, and an enormous suite of machine learning models is responsible for operating the bidding and deciding who gets which ads. Our responsibility as technical marketers is to feed the system with as much *accurate and relevant* data as possible. Therefore measurement is a crucial part of managing Google Ads campaigns - in other words, it is really in Google Ads (and advertising platforms) where measurement efforts convert into value for the business. Looking at BI dashboards or #GA4 frontend is great, but Google Ads data is much closer to the money. Despite its importance, it’s striking how many companies (and agencies) do it wrong. Thankfully, there are experts out there who are not shy to spread their knowledge on this topic. Lars Maat, in his session “Measurement in the Google Ads world” on MeasureSummit, hit the nail on the head with pretty much every single statement he made. Here is a quick glance on how get Google Ads measurement right. The basics: 🗺️ Define what you want to measure, keeping the end goal in mind. 🔍 Set up conversion tracking in GA4 and connect it your Google Ads account to GA4. 🔗 Set up a conversion linker tag to capture the ad click in a cookie. 🛠️ Set up Google Ads conversions in GTM and G Ads. It’s surprising to see how many companies don’t even get this far and just import conversions from GA4 only. Now this was just “sea level” and here is how you rise above the ground: 🚀 Set up enhanced conversions to capture first party data. 🖥️ Set up server side tagging. 🤝 Leverage Consent Mode V2 to augment models with estimated conversions. 🏛️ Use offline conversions. (This is a biggie for any company who sells or closes deals offline too.) 💵 Include margin/profit information in the conversions to allow optimizing for profit - to avoid going for revenue that is not profitable. 🔄 Segment new vs returning customers and use different bidding strategies for them. ⏪ Make use of conversion adjustments to correct data retrospectively (e.g. cancelled orders). ❎ Use data exclusions to prevent the algorithm from learning from intervals where the data was just plain wrong. These have privacy requirements and require consent - but they should be considered. Our process is very similar to Lars’ - but the above is solely based on his presentation. It’s short but dense with information, he also shows a bit on the “how” and some “gotchas”. This is also one of those talks which in itself is worth the All Access Pass price for anyone who manages PPC campaigns. Many thanks Lars for the great preso and Julian and Chris 'Mercer' for organizing the conference! – Follow me for posts on #digitalmarketing #analytics and #BigQuery, and hit the bell on my profile to receive updates.
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Google Analytics 4 (GA4) is introducing an update to its attribution models, ensuring that paid search campaigns receive proper credit for their role in driving conversions. Here´s the official article: https://lnkd.in/d4uFisAY #googleads #googleanalytics #google
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🚨 It wouldn't be a weekday if there wasn't another Google Ads change to discuss. Google is serving up a "new design to experience a more focused and efficient Google Ads". There are several changes visible, but the one that caught my eye is the change to account linking and tagging. The "Linked Accounts" page under admin settings has been upgraded to connect data sources in the new "Data Manager" page under "Tools". Google Ads Data Manager is intended to be a "point-and-click data import and managment tool that *should* make integration across Google products and first-party sources easier. Especially (I hope) for conversion tracking via Google tag. Data Manager has 2 key areas: 👉 Connected products - ex: GA4, Merchant Center, YouTube 👉 Google Tag - this should help make it easier to set up and measure data More information here: https://lnkd.in/gW2asU_P PS - Admittedly I reverted to the old design for now. When asked by Google's pop-up "Why?" I smirked when selecting the option that said "I don't have time to learn this right now" - at least they seem to be tuned in to what most PPCers are thinking right now 😆 #googleads #google #PPC #SEM #search #digitalmarketing
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👉 The 15 guaranteed methods to reduce direct traffic in #GA4. Direct traffic is increasing, and if you don't act now, one day, all you will see in your GA4 reports will be direct traffic. Little to no referral data, just direct traffic. . . The following are the main reasons why direct traffic is increasing: 1) Ad blockers can cause referrer data to drop, causing traffic to be recorded as direct traffic. 2) One or more URLs of your marketing campaigns are incorrectly tagged. 3) Dark Social - Users sharing your link via messenger (like 'WhatsApp') or in private social media groups. 4) GA4 tracking code is missing or does not fire on one or more pages. . . Use the following methods to reduce direct traffic in GA4: 1) Tag the URLs of all marketing campaigns. Whenever a referrer is dropped, GA4 cannot determine the origin of the traffic source and will report that traffic as direct traffic. One effective way to ensure that the referrer is not dropped is by tagging the URLs of your marketing campaigns with the UTM parameters. 2) Tag each marketing campaign correctly. 3) Make sure all pages of your website contain a valid GA4 tracking code that fires on page load. 4) Switch to server-side tracking. By moving tracking to the server side, you reduce the chances of referral data being lost or blocked. 5) Migrate your website to HTTPS. That way, you can track referrer data from HTTPS websites, which you won't be able to do otherwise. 6) Block the internal traffic. Often, internal traffic ends up being reported as direct traffic by GA4. 7) Use phone call tracking solutions. If your website has been set up mainly to generate leads through phone calls, then you should attribute phone calls to the correct traffic source by using a phone call tracking solution. 8) Avoid using headless solutions. Most legacy tracking solutions like GA4 and GTM are simply not designed for headless websites. So, when you use such tracking solutions, you can encounter many data collection issues, like a high volume of direct traffic due to loss of referrer data. 9) Use a TV attribution model. Through the TV attribution model, you can correlate TV ad airings with your website traffic, sales, and other online users' activities in real time. 10) Devise new ways to capture referrer data. It can be as simple as asking, "How did you hear about us?". Do not just rely on GA4 to capture referral data. 11) Use a direct payment gateway. When you use direct payment gateways, your customers can complete transactions without leaving your website. 12) Do not use rel=" noreferrer" on your website links. 13) Avoid Google Analytics cookies being reset. 14) Check your company's firewall settings to ensure the referrer is not dropped. 15) Always use server-side redirects (301) instead of meta and JavaScript redirects. Avoid redirect chains, as a referrer may drop during several redirects.
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Google Ads and GA4 conversion tracking data never match up. Differences can be caused by: - Conversion delays. - Conversion Tag setup. - Customer conversion time. - Lookback windows in Google Ads. - Conversion count settings. - (Engaged) View-through conversions. - Cross-device conversions. - Conversion Modeling. - Invalid traffic. - Attribution settings. It's not uncommon to see differences of up to 40%. 🤯 Our advice up until this point has been: 1: Use Google Ads Conversion Tracking (with the Google Ads Tag) for your primary conversions 2: Use GA4 imports as your secondary conversions (as a backup). But a few days ago, Google announced they will be rolling out a new update that promises to streamline conversion data between Google Ads and GA4. Will that solve the data discrepancies? Will that make GA4 the superior tracking option? I studied the announcement for 2 hours and, even though it's getting a bit better, I have my doubts. I wrote up a deep-dive with my thoughts about this announcement. I'm sharing it in tomorrow's issue of The PPC Edge (Monday at 12:15 PM CET). Subscribe here to get it in your inbox tomorrow and join 17.000+ Google Ads Specialists: https://lnkd.in/er-pXEcj Make it a habit to study these types of announcements. They contain a LOT of golden nuggets that will deepen your understanding of the PPC game, giving you an HUGE competitive edge over people who just read headlines. Speak tomorrow!
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Sudden drops in your Google Ads performance? After auditing countless Google Ads accounts, I've realized there are two major causes for these sudden dips.📉 1) Something has changed in the conversion setup/tracking. 2) Something got switched off/removed unintentionally. I've mainly experienced this with accounts that have a lot of conversions and historical data, where tracking for conversions (sales, orders, leads) was set. These accounts often have a big legacy and have been managed by different specialists. Drops in conversions (over 30-40%) often happen overnight, causing massive efficiency fluctuations, with costs per order skyrocketing above average. To quickly investigate what's going on in your account, follow these steps: 👉 Check the tracking: are you still tracking and reporting back to the system the most important events? 👉 Check the Primary/Secondary setup for your Conversions: was there a change to the primary optimization action? Go to the campaign level and segment the data by Conversion Action - analyze the trends. 👉 Check "Conversion goals" and "Customer acquisitions" settings: was anything changed in the campaign settings for which you see the drop? Did you start bidding on new customers exclusively? 👉 Check WoW, MoM, YoY data: investigate where the drop is coming from. There could be a single campaign, ad group, or keyword causing the issue. 👉 Check the exclusion lists: Did you add keyword/placement exclusions that could have impacted performance? Maybe there are conflicting negative keywords? Perhaps a high-performing exact match keyword got paused, and you're relying on broad match to regain performance? Scenarios can vary. Be a detective: take a helicopter view and then dig deeper to find the reason for the drop. I promise you - the answer is in the data! #googleads #googleadscampaigns #ppc #ppctips #sem #googleadwords #digitalmarketing
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Why Enhanced Conversions Are a Game-Changer for Google Ads Some people still don't understand the importance of enhanced conversions in Google Ads, treating enhanced conversion tracking and regular tracking as the same. 🤔 For those who think implementing enhanced conversions isn’t worth it, 📈 they should definitely read this to discover the advantages that come with it! 🚀 In the world of Google ads, enhanced conversions are leading the charge. With privacy regulations tightening and third-party cookies fading away, marketers need smarter ways to track success. Enter enhanced conversions: a powerful tool that uses first-party data to give your campaigns a serious upgrade. Why You Should Care: Precision in Data: Enhanced conversions let you capture customer data like emails or phone numbers, securely hash it, and send it to Google. This allows for more accurate conversion tracking, even as tracking methods evolve. Smarter Bidding: Google’s algorithms thrive on good data. Enhanced conversions provide the fuel for more effective bidding strategies, meaning you can drive more conversions without overspending. Reliable Reporting: Forget guesswork—enhanced conversions offer a clearer picture of your campaign's performance, helping you make data-driven decisions that truly move the needle. Future-Proof Your Strategy: As privacy rules change, relying on first-party data will become essential. Enhanced conversions ensure that your campaigns remain effective no matter what’s on the horizon. How to Get Started: It’s simple. Make sure your site collects the right customer data and follow Google’s setup steps. Implementing enhanced conversions now can set your campaigns up for success, making sure your marketing efforts aren’t left in the dust. In today’s privacy-conscious world, enhanced conversions aren’t just nice to have—they’re a necessity. It’s time to level up your Google Ads game and ensure your data is as accurate as possible. #googleads #enhanceconversions
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🚨 It wouldn't be a weekday if there wasn't another Google Ads change to discuss. Google is offering a "new design to experience a more focused and efficient Google Ads". There are several changes visible, but the one that caught my eye is the change to account linking and tagging. The "Linked Accounts" page under admin settings has been upgraded to connect data sources in the new "Data Manager" page under "Tools". Google Ads Data Manager is intended to be a "point-and-click data import and management tool that *should* make integration across Google products and first-party sources easier. Especially (I hope) for conversion tracking via Google tag. Data Manager has 2 key areas: 👉 Connected products - ex: GA4, Merchant Center, YouTube 👉 Google Tag - this should help make it easier to set up and measure data More information here: https://lnkd.in/gcHDhSkW PS - Admittedly I reverted to the old design for now. When asked by Google's pop-up "Why?" I smirked when selecting the option that said "I don't have time to learn this right now" - at least they seem to be tuned in to what most PPCers are thinking right now 😆 #googleads hashtag #google hashtag #PPC hashtag #SEM hashtag #search hashtag #digitalmarketing
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I talked about Google´s #customermatch feature and the legal challenges it could bring about back in 2020 at Superweek Analytics Summit. Deck here https://lnkd.in/d7VTqRMW Below, the more technical and granular explanation on how this is going to work and which features are available, within the tool. To be fair, it opens up a can of worms and personally I´m not specifically looking forward to having to go into the tools again. It however seems inevitable to be able to understand which features are activated and linked to which legal disclaimers 🙄 It´s through transparent collaboration with technical experts like Balazs Vajna & Matteo Zambon that alignment between the legal obligations and technical capabilities are assured to mitigate risk in digital advertising. Up to a level that is, let´s remain realistic!
Customer Match is now available in Google Analytics - can be great news for some organizations who want to make their advertising more efficient. BUT!! 🔏 Contrary to what Google implies, it is not a privacy-friendly feature. It is secure, yes, but if you want to be compliant with regulations, you can only collect this data if you have explicit consent for it. (Security and privacy are often mashed together in an effort to promote these techniques. That said, collecting user provided data is indeed useful for advertising, so don’t reject the idea off the bat. 🫗 Collecting user provided data in #GA4 comes with a big sacrifice on the #BigQuery side - it will result in the user ID field not being populated anymore in the GA4 BigQuery export, so if you rely on user IDs in your analysis, don’t do it. It is also a feature that cannot be undone, so be careful. (Last I heard - it may have changed. EDIT: there *was* a bug initially but you can switch it back off now - thanks Matteo.) According to Matteo Zambon - if I understood well - it also messes with attribution / user reporting within GA4 itself. 🗞️ It is not really good practice to rely on GA4 for advertising. It is much better to use Google Ads tags for conversion tracking, which also include the enhanced conversions feature (~user provided data). Pro tip: use both to monitor conversions both ways side by side, but once tracking is stable, it’s better to optimize on the Google Ads conversions. As mentioned above, do strive to use the enhanced conversions feature. Similarly, it is better to use customer match in Google Ads itself. Again: this feature (whether in GA4 or #GoogleAds) not privacy friendly, but it will boost effectiveness: do it, but ask for consent. (Rarely anyone does it, even though there are tools out there - like @Dataships - which specialize in getting the highest possible acceptance rate while being compliant with the various regulations in each respective region.) (Also BTW accepting marketing cookies does not mean the user has opted in their first-party data collection - it is more similar to a separate consent for newsletter sign-ups.) And now the acknowledgments: thanks Yehoshua Coren and Matteo Zambon for their posts that brought this on my radar, and Freek Kampen also came before me, giving a bit more context and detail. (Apologies to all others whose posts I may have not seen.) – Follow me for posts on #digitalmarketing #analytics and #BigQuery, and hit the bell on my profile to receive updates.
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Google Fixes GA4 to Better Associate Conversions With Paid Search Google has rectified an issue in which Google Analytics, GA4, would sometimes fail to credit the correct conversion attribution to the paid search campaign. Google stated that it previously attributed some conversions to organic search rather than paid search. Google will be rolling out a fix for this soon. https://lnkd.in/ebV7KzZV
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