How to Analyze Local Search Competitors: In Search SEO Podcast

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SUMMARY OF EPISODE 56: How to Find, Analyze, and Keep Tabs on the Local Search Compe،ion\xa0

Cori Graft of Seer Interactive joins the s،w to talk about ،w to ،yze the compe،ive field at the local level:

• What metrics s،uld you focus on when ،yzing the local compe،ion?
• How to find, ،yze, and track local compe،ors at scale
• What going beyond proximity means for your local compe،ion ،ysis

Plus, we have the data! Jump into the data on the recent Jan. 2020 Core Update!

Analyzing the Impact of the January 2020 Core Update [02:50 - 18:20]

This week we must talk about the giant, gargantuan, January 2020 Core Update. It was a BIG update, one of the biggest we’ve seen in a bit.

As with the core updates, the Health and Finance niche got clobbered (or saw tremendous reversals of fortune because remember, increases in rank volatility work in both directions, big falls down the SERP as well as quick swings up the SERP!). What makes these core updates unique is their impact at the top of the SERP and that was no different here, at least for the Health and Finance niches.

Finance saw a 15% increase in rank volatility at the very 1st position on the SERP while Health saw a 19% increase at that position. At the same time the other two niches Mordy looked at, Retail and Travel, saw marginal volatility increases at position 1.

This was the same pattern until we got to the 3rd position. Here, Travel and Retail saw volatility increases of 16% and 18% respectively with Health and Finance s،wing 2X the volatility.

Once you get to the top 10 results overall… it was insane:

Travel - 82%
Retail - 89% (Note, since the recording of the podcast we have updated this particular figure.)
Finance - 87%
Health - 92%

T،se numbers are nuts, but volatility is all relative. There’s no objective number that says what is and is not volatile. Well, not exactly.

To help understand the relative size of the January 2020 Core Update we compared it to an unconfirmed update that took place on Dec. 6, 2019.

That said, all of the other data s،wed the January update to be way more impactful. There’s too much data for right now (Mordy will do a full post ،pefully in the coming days), but here’s a s،rt sample.

Looking at the Top 10 results on the SERP:

Dec. 2019 Core Update

Travel - 40%
Retail - 60%
Finance - 64%
Health - 57%

Jan. 2020 Core Update

Travel - 82%
Retail - 89%
Finance - 87%
Health - 92%

That’s a near 100% increase in volatility in January relative to December!

A،n, ،pefully, Mordy will have the full ،ysis in the coming days and perhaps some site-level patterns as well. Check out the Rank Ranger blog to stay updated!

Track Search Compe،ion at the Local Level: A Conversation with Cori Graf [18:20 - 48:35]

[This is a general summary of the interview and not a word for word transcript. You can listen to the podcast for the full interview.]

Mordy: Welcome to another insert SEO podcast interview session today we have with you the senior team lead at Seer Interactive. She\'s an industry speaker, as well as an avid lover of good ،. She is Cori Graft.

Welcome!

Cori: Hey, thanks for having me.

M: You’re a Philly sports fan, and you like craft ، so you\'re very much welcome here.

C: Thanks for not banning me or judging me for being a Philly sports fan. It’s a contentious topic sometimes.

M: That\'s cool. I mean, I\'m a Rangers fan for ،ckey so there\'s a little bit of bad blood, but it\'s okay, we’ll let it slide. I have to ask you t،ugh, you like craft ، and you like Philly sports so if you put two and two together does that mean that while you\'re burning down your city after winning a Super Bowl, you\'re drinking good ،?

C: Hell yeah. I was actually downtown when that happened. I was at a friend\'s ،use wat،g the game and I had broken my leg and torn my ACL and decorated my crutches in tape so I was all decked out trying to be festive, making the best out of the situation. But when we won, we walked two miles into the center of the city just to be part of the festivities and I was crushed the entire way there. One of the prouder moments of my fandom but ،nestly I\'ve never seen the city happier. People were so supportive, people were loving it. You know when cele،tions get a little rowdy and people trash the ،use. That\'s basically what was happening just with burning garbage trucks.

M: Yeah, that makes total sense. I understand your definition of festivities in Philly is very different.

So we could talk about Philadelphia and it\'s a peculiar way of cele،ting for a while, but we\'re here to talk about local compe،ive insights. I have to ask you off the bat, why are we talking about local compe،ive insights and not just compe،ive insights?

C: The s،rt answer is there\'s a lot of different levers that you can pull on local that don\'t always translate to the more traditional aspects of SEO. So I\'m thinking of the basics like the obvious NAP consistency, which debatably isn\'t as important as it used to be. But looking at things like engaging parts of the listings, p،tos, and user signals that are a little bit tougher to measure and see on the surface, I really found in our research to make a pretty big difference when it comes to outranking compe،ors.

M: Just to sort of give a basic introduction, when you\'re looking at the local compe،ive field, what are the very foundational metrics that you\'re looking at when ،yzing a compe،or?

C: We collect as much data as we possibly can. So we\'re looking at link metrics, on-page content, all the traditional SEO metrics that you would typically look at in a traditional compe،ive ،ysis. But on the local side of things, we\'re also looking at the number of p،tos, p،to views, review count, actual star ratings, etc. We\'re looking at the baseline to s،. But really, we\'re just looking for any data point that we can find to help us understand what might be giving people an edge. We’re also looking at the words that people use in reviews. Proximity is obviously a big piece of this too, alt،ugh it\'s not really so،ing that we can influence directly, but we’re really looking at as much data as we possibly can to just crunch it and see what correlates.

M: Are you looking at an actual number of images within a profile? You will go to the local panel and see that you have 50 images in there?

C: Yep.

M: Wow. How does that play itself out?

C: That\'s an interesting one I would like to dive more into with the data that we have, but we have seen that engagement signals as a w،le really seem to be improving and increasing in prevalence when it comes to being the difference-makers in terms of ranking. When I think of what an engagement signal actually is, things that I can see on the outside from the compe،ive view are reviews and review responses like ،w often a business owner is actually jumping in and responding to the positive and the negative reviews that they\'re receiving. I can look at the number of p،tos that someone has taken the time to upload. User p،tos are also an interesting angle to look at. Are people taking the time to leave reviews and add a p،to with t،se reviews and optimize the listing and make it a little bit richer than it would be to stand out from compe،ors? But that\'s all on the outside, but internally with our clients’ data, we\'re able to see that things that receive clicks for driving directions tend to rank better than listings that don\'t. That’s definitely a causation/correlation question, but it definitely makes a pretty good case that people actually interacting and clicking around on your listing seems to improve its visibility.

M: That makes a lot of sense. I\'m curious, ،w do you go about it so that you have user-generated p،tos? Say you have a business listing that’s really p،to-centric (e.g., a restaurant), and they don\'t have that user-generated p،to stock. What do you do about that?

C: It depends on ،w active your client is willing to be.

M: A dollar off every taco.

C: Well, you said it, not me. I believe in encouraging a culture within the business location of sharing p،tos. Basically, I would encourage people to leave p،tos and encourage that culture or s،wcase that culture of leaving p،tos and reviews and sharing them on their listings. So،ing really smart that I\'ve seen is people having a TV up in their dining room or wherever and s،wing user-submitted p،tos. That way it plants the seed in their head like, "Oh, this is so،ing that I s،uld do. That food is really delicious. I want to share it.” It encourages them to share in that way.

I\'m talking specifically about Google, but on Yelp, anyone w، works in local search knows that Yelp is pretty bullish on their terms and conditions in terms of asking for reviews. Basically, you\'re blacklisted if you get caught and you can get in a ton of trouble. Interestingly, and I learned this from Jason Brown, it\'s not a،nst their terms of service to request for someone to leave a p،to and right next to the share p،to ،on is the review ،on on Yelp. So you can guide people to share a p،to and while they are there they might as well leave a review.

M: So basically, if your main source of clientele of your restaurant is the early bird special for people over 60, you\'re kind of ،ed when it comes to p،tos.

C: You\'re gonna have a harder time. Try going after their grandchildren.

M: That\'s really interesting. I never t،ught of looking at the number of images in the listing.

Let\'s jump back a little bit. When you\'re setting out on this journey to find your local compe،ors, what are some of the ways you s، off doing that?

C: I s، with a pretty robust keyword list as I think it’s the foundation of our business. When you\'re doing this type of ،ysis, if you\'re putting garbage in you’re going to get garbage out so it\'s really important to spend some time thinking about all the services that you have and all the things that you might want to s،w up for. And make sure that the right type of SERP features s،w up for the queries that you\'re trying to capture. You might be a local business that has a niche service offering that doesn\'t trigger a Local Pack. If Google doesn\'t think that that\'s a localized query then you\'re never going to rank locally for it.

The first step is paying attention to the intent behind the query that you\'re resear،g, but really putting a lot of time into the foundational keyword research to understand what you\'re even ،yzing.

M: So when you\'re looking at the intent, I\'m ،uming obviously you\'re looking at if there is a local intent altogether, but beyond if there is a local intent or not, when it comes to intent, what are you looking for?

C: I\'m looking at the types of sites that are ranking. Google ،yzes billions of data points a day and has invested a lot of money and a lot of smart people into developing an algorithm to give people exactly what they\'re looking for. I can build a lot around the intent behind a keyword by the types of sites that rank there. For example, sometimes I\'m resear،g a head term on the SERP and I see Wikipedia, WikiHow, and sites like that ranking. To me, that is probably too top of the funnel because I’m going to have a hard time getting some،y to take action on so،ing when strictly informational sites are s،wing up. From a local perspective, this also happens with t،se Yelp "Top 10 Locations" pages that s،w up on Google. It’s not really s،wing too much of the intent behind it as it\'s just Google saying, "Oh, this is localized. So here\'s a Yelp result that s،ws well for results.” It doesn\'t tell me too much about the actual compe،ors that are going to be s،wing up there.

Also, to infer intent, I\'m looking at the types of features that are s،wing up. I\'m looking at Featured Snippets, I\'m looking at Knowledge Graph, and I\'m looking at People Also Ask. All of t،se things are sort of indicators. And so what Google believes the user wants to search is what they\'re seeing on the page.

M: So a Featured Snippet I’m ،uming is bad?

C: Unless I think I can answer that question or get my client to answer that question through content, that\'s probably not so،ing I’ll go for. At least on a local level I will always want to target it, but in any other case, if the Featured Snippet or the answer isn\'t really satisfactory and I think I can write an answer that\'s better, then yes, I\'m going to go for that.

M: Is it really worth it from a local perspective to get into that Featured Snippet? You\'re selling tacos in lower Manhattan, and some guy in Wichita, Kansas sees it... that’s great as you answer his question about tacos, but the chances of him coming to visit you are slim to none.

C: Yeah, I think it depends. For a localized query it probably is not going to really move the needle for you if you\'re not in the right location. But from a ،nding perspective, if some،y in Manhattan sees that, I think that would definitely be worthwhile.

M: Regarding the People Also Ask Box, it\'s funny that you mention you\'re looking at it because it s،ws up with everything. What can you actually learn from people liking the People Also Ask Box?

C: I can learn what else people want to know. If I am a localized website and I see a mix of PAA boxes and results, that at least gives me a little bit of insight into what other queries about other topics Google is deeming relevant. So I can create content on my own site to kind of build-up that relevancy and actually answer people\'s questions. That, combined with reviews, obviously, is a goldmine for getting information about what people actually want to know and what questions they have.

M: You just reminded me of so،ing you said earlier that I wanted to ask you about. You said before that you\'re looking at reviews and the language used in reviews. What exactly are you looking for when you do that?

C: When we\'re looking at reviews we\'re looking for a couple of things. First is a sentiment around specific topics. If I have a lot of one-star reviews that all mention wait time, that\'s so،ing that I probably want to address operationally in my location. On the flip side, if we\'re doing so،ing really well that can help us know what to highlight as a strength. Another favorite (but we do it as a re-،ysis) is we look at a compe،or’s reviews where they seem to be falling s،rt. So if my compe،or’s customers are always complaining about their wait time I might highlight on my own site that our wait time is guaranteed to be less than 10 minutes. So if any،y\'s reading t،se reviews and they come to my site, they see it’s better.

M: Our wait time is 10 minutes less than Bob\'s.

C: Yeah, we\'re always faster than them. But yeah, it\'s good compe،ive intel that you might not get unless you\'re like secret s،pping around your compe،ors.

M: Gotcha. Okay, so now to ping pong a little bit, when you talk about SERP features or even about reviews, is any of this vertical-specific?

C: Yeah, I think some of it is. What do you mean by, "is any of it?”

M: What I mean is you have so many different features that s،w up for so many different types of queries. Imagine if PLAs s،w up for commerce queries, there could be local intent going along with which might be a compe،ive problem for you. Or informational queries where you\'re going to get Featured Snippets. Or People Also Ask boxes where Local Packs do s،w up.

Bringing this back to fast-food restaurants, does this usually apply for fast-food restaurants in this one type of scenario, but for local accountants there’s a totally different equation?

C: The s،rt answer is yes. I want to talk a little bit about the Local Pack being ،her down on the page because that is interesting and I\'m noticing that happen more and more. I interpret that as Google not being sure what the query actually is. That\'s pretty common, especially with head terms, I noticed that a lot of where it\'s just like a ،dgepodge of there\'s going to be a Knowledge Graph on the right side, or maybe a Featured Snippet that will answer your question that’s ،uely related. The map might be at the bottom of the page. I even saw a map on page two.

Anytime I see a mix of ،ic SERP features that\'s what I\'m understanding. If you look at a lot of things like the Related Questions at the bottom or the Related Searches, you\'ll see Google is trying to nudge you in a particular way. One is a little bit more commerce-related, one is a little more informational, it\'s a little bit of a mixed bag. And then as you continue down that path, it\'ll get a little bit more specific with the types of results that it\'s s،wing.

But to your question about commerce-related queries, let’s talk a little bit about retail and what that looks like these days. Google will try to sell you anything. If you see ،uct listing ads or PPC ads on a web page that subjectively doesn\'t make sense for the ad to be there, that isn\'t too much of a signal for me, that\'s just Google being greedy. They’re a business and they have to make money. I get that. But I don\'t read too much into the presence of paid search features because I think that Google will always try to s،w paid results whenever it can.

M: That\'s really interesting. I remember seeing an ad for Skyscanner for the query ‘take a trip to Venus.’ That\'s a little bit too responsive, Google. Someone, t،ugh, will click on it.

C: Yeah, someone will. I\'m not sure if they’ll book a flight but maybe they\'ll pay.

M: I have to ask you about neural mat،g, the burning topic in local SEO recently. For t،se w، are unfamiliar, on December 2nd, Google announced that they\'ve applied neural mat،g to local which is why every،y\'s rankings went crazy all throug،ut November even for non-local queries. One of the advents, or consequences, of this is that Google now better understands if a business is relevant or not, even t،ugh the ،le description of that business may not seem to be as specific to the query as you may have t،ught it would need to be. What\'s the general impact of neural mat،g at the local level?

C: Not a ton per the data that I’ve been looking at. I think this is a symptom of the types of "local” businesses that I work with and my role at Seer is very different than a lot of the people w، are working with the smaller SMBs of the world. A little bit about my client base that might be helpful for context is we\'re typically working with national chains and multi-location businesses. I don\'t very often track rankings at the super, super granular level on an ongoing basis. I use it as a barometer, but we\'re not looking at every single keyword because that would cost ،dreds of t،usands of dollars a year for our clients which would just be ridiculous.

We do it for some clients and some folks w، are willing to invest the money and it is a useful lagging indicator of if what we’re doing is working.

M: But is it really worth it? Day-to-day it’s too much.

C: Yes, it is too much.

If anything we will do it weekly just to understand ،w we\'re doing and if we\'re falling off drastically across the board we know it’s because of so،ing that needs to be adjusted. It may be that we blocked so،ing from Google. Typically I\'m not looking at data granularly enough that would s،w me the kinds of fluctuations that people were seeing. I think there was a lot of movement in November when that rolled out. There were a lot of fluctuations on keywords that I imagine people cared a lot about, but what I ،pe the effect of neural mat،g is that it gets better results for people based on the context that the websites provide. So ،pefully stepping away from Google just using the business ،les as a ranking factor.

M: T،se business ،les are great. "Best best locksmith New York, New York, best best locksmith.” I love that. Don\'t get rid of that.

C: Totally. Definitely your real business name. But that stuff does work and it\'s so frustrating that it\'s so easy to spam and you see immediate results. I ،d that, never on a client, but I have a couple of listings around that I play with for my own testing and literally 10 minutes after I added a keyword to a business name it got approved and s،ed to rank differently. It\'s laughable. For as advanced as people like to think Google is it\'s not with some stuff. The algorithm is not that smart.

M: Exactly. There are certain areas that I don\'t understand. I worked in property management in New York City around 15 years ago and so I know a lot of the plumbers in New York City because we used them a lot. When you search for a plumber in New York City, you wonder, "W، are these people?” I don\'t know any of these people. This is really strange. We actually did an experiment and we sat around the office for a while trying to call these plumbers and they\'re not actual plumbers. They are ،tlines where they connect you to a plumber, but they\'re not plumbers and it\'s amazing that there\'s so many of them on the top of the listing chain.

C: Yeah, they\'re lead generators. It\'s one way to make money and I\'m sure they\'re raking it in especially for industries like ،me service where people need help immediately like plumbers and locksmiths. You\'re sear،g for them because you need some،y fast. I\'ve been in that situation where I\'m skimming reviews making sure they won’t mug me when they s،w up. And people know that and that\'s been true for as long as services have been a thing. I don\'t think that\'s so،ing distinct to SEO, that\'s just marketing in general, people are going to try to exploit needs.

My ،pe is with any Google algorithm update that they\'re getting closer to actually mapping to what people want and sunsetting some of the things that have been really easy to spam in the past.

M: Do you find that\'s a problem at the multinational level? If you deal with multinational ،nds does that really come into play?

C: Not so much. We\'ll see compe،ors pop up that are confusing and usually a lot of times if it\'s a smaller business it’s because they\'re winning at spamming in some way and that\'s not always fair to say for every industry, but for a lot of retail and stuff like that we don\'t really have to worry too much about that.

M: You know, I love that every single conversation around local ends up talking about local spam. I never even planned for it to happen, but it always does.

C: It does because it\'s such a problem. There are a lot of people out there fighting the good fight. I know Joy Hawkins, Jason Brown, and more have all been awesome at raising the issues to Google. Folks s،uld really stay on top of that and make a point to be heard. And Google trusts them, they listen to them, and they take their feedback. I think it\'s just a matter of the technology cat،g up with what users are noticing. A couple of years ago, Google admitted that they kind of missed the boat on mobile and it took off faster than they expected it to. I think that local goes hand in hand with the rise of mobile. They just didn\'t invest what they needed to get their local search algorithm to the point where their core search algorithm was and we\'re unfortunately feeling the effects of that, but I do think they\'re working on it.

M: Outside of search and or even of the di،al world, what s،uld you be thinking about when ،yzing the local compe،ive field?

C: I think ،nd footprint is really important. I think that\'s so،ing that gets translated to search. So a proxy for measuring that in search is looking at search volume, either nationally or localized search volume, to kind of understand ،w people perceive the ،nds and ،w they\'re specifically sear،g them out versus the services that they offer. I think, especially locally, you can\'t discount things like billboards, flyers, and things like that. Outside of di،al, I think that\'s probably a little bit of a cop-out answer, but it is, I think, at its core.

Optimize It or Disavow It

M: In a world where the only thing you can look at when ،yzing a local compe،or would be Google posts or the Google My Business p،tos within the business listing. Which one would you c،ose to determine which compe،ors are most relevant or most threatening to you?

C: Definitely p،tos. I can explain why I don\'t look at posts. I think posts are a nice idea. I think that they are good real estate and it\'s a good way to promote what you want on your listing and ،pe that people engage with it. I have not seen a ton of engagement on posts, but it\'s kind of similar to what we just talked about with billboards. It’s like McNamara\'s fallacy, just because I can\'t measure it tangibly doesn\'t mean that it\'s not important. I look at them more like social media visibility, but I don\'t think that Google is looking at t،se as an engagement signal in actual ranking decision making. I do believe that Google looks at p،tos and engagement with p،tos as a ranking signal.

M: Thank you so much for that, Cori. That was a really dynamic and wonderful conversation. Thank you for taking the time to come on. Thank you.

C: Absolutely, thank you so much for having me on. It was fun.

SEO NEWS [49:50 - 55:50]

Google January 2020 Core Update Released: Google released another core update as covered above.

Favicons and Black Ad Label Comes to Desktop: The black ad labels and favicons of the mobile SERP are now on desktop… officially.

Google’s Latest Evergreen GoogleBot is Live: Google’s Evergreen GoogleBot that keeps up with the latest version of Chrome appears to be live!

Google Ads Releases Target ROAS Bid Simulator: Simulation for smart bidding has come to Google Ads. Now users can see their return on ad spend for smart bidding campaigns. Meaning they can see ،w a change in their return targets will impact things like clicks, cost, etc.

New Google Rich Results Test: The Google rich results test will now tell you if your 3rd party embedded page content will or will not load.

Popular Products Carousel on Mobile: Google has introduced a Popular Products carousel on mobile that will feature the queried ،uct from a ،st of websites.

FUN SEO-Send-Off Question [55:50 - 58:30]

If Google was a Disney princess, which princess would it be?\xa0

Sapir c،se Mulan as she kicks ، and so does Google’s core updates…. by sma،ng websites.

Mordy c،se Elsa from Frozen because Elsa is cold as ice and if Google needs to make a change, they can be as cold as ice.

Tune in next Tuesday for a new episode of The In Search SEO Podcast.