Summary
The primary pain point is the significant time and effort required for manual competitor data gathering and analysis. Users are also concerned about the accuracy and effectiveness of available tools, including AI, for uncovering nuanced insights. Challenges include obtaining holistic and granular data, especially for SaaS products, and identifying lesser-known competitors. There's a need for more efficient and reliable methods to understand competitor strategies, customer bases, and value propositions.

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1
Competitor Data Gathering

Manual competitor data gathering is time-consuming

Users find the manual process of gathering competitor data across various platforms and sources to be extremely time-consuming and inefficient.

Quotes

But honestly, my process feels way too time-consuming, and I’m curious how others do it.

It works, but honestly, it takes forever.

The hard part for me is getting holistic data on features. especially SaaS when they’re complex products hidden behind a website without thorough documentation on the comparisons you’re looking for.

My sense is that AI can make this a lot less time-consuming (and can therefore do more of it).

adding to that...what makes competitive analysis so time consuming (for me anyway) is scouring the content I listed for the negative sentiments, quotes, about competitors.

The process of finding information through different channels by hand is possible but very time-consuming.

If they have help docs open, that's a treasure trove - but can be time consuming unless you know exactly what you are after.

Most good competitor research is not going to be found in a tool.

Totally agree! SpyFu, Semrush, all tools are just pretending to know, but there is no truth... Is just hard work.

Frequency9
Intensity7
Specificity8
Solvability8
2
Tool Accuracy & Effectiveness

Concerns about the accuracy and effectiveness of competitor analysis tools

Users express skepticism regarding the accuracy and depth of insights provided by many automated competitor analysis tools, including AI platforms.

Quotes

You might be able to get a glance of what the competitor is doing with SEMRush, Spyfu.... but take it with a grain of salt as they are not very accurate.

No AI is not good at competitive analysis, imo. When doing competitive analyses you need to be able to find the small nuances about the competition so that you can differentiate. AI does broad strokes when it does any kind of research.

A general tool like ChatGPT or Perplexity will give answers that sound good on the surface but don't hold much water if you drill into them for specifics.

Most of the tools (SEMRush, Spyfu...ect) people will say are garbage as the data is incorrect. 95% of time with their data is not even close to reality.

Similarweb is usually amazing for large websites. When I looked myself up I actually got quite mad at how accurate they were.

I was quite impressed with it myself but it's very expensive :(

Frequency6
Intensity6
Specificity7
Solvability7
3
Data Scope & Granularity

Difficulty in obtaining holistic and granular competitor data

Users struggle to gather comprehensive data, especially granular details about features, customer insights, and internal metrics, particularly for complex SaaS products or those with limited public information.

Quotes

The hard part for me is getting holistic data on features. especially SaaS when they’re complex products hidden behind a website without thorough documentation on the comparisons you’re looking for.

And often times you don’t have access unless you can find someone who uses the product (a competitor isn’t just gonna show you a demo or get you a demo account).

What you're doing is good. Although it might feel like a lot of work, the only way you're going to get decent insights into what competitors are doing is through this kind of deep work. What you are defining as 'good' - ie the link, hook, visuals, style - they're not things that can be easily measured or quantified without your expert opinion.

Why would you not focus on customer reviews? Especially from a third party like TrustPilot, not from the company website obviously. This is where you'll find what the customers really like and really don't like about the competitor and could give you a leg up on the competition. You're not going to find what customers like and dislike about the company in their help docs.

It’s a SaaS product, little tricky to use their product. It was difficult to find their pricing too

Without there sales data, identifying there customers is one of the toughest parts. Typically social media followers are not a good identifier.

Typical rookie exercise - you will never know actual conversion rates CPA roas revenue etc. focus on what you can control.

Frequency7
Intensity7
Specificity8
Solvability6
4
AI for Analysis

Limitations of AI in capturing nuanced competitor insights

While AI shows promise for speeding up research, users find it struggles to uncover subtle, nuanced competitive advantages and requires significant manual input and strategic prompting to be effective.

Quotes

No AI is not good at competitive analysis, imo. When doing competitive analyses you need to be able to find the small nuances about the competition so that you can differentiate. AI does broad strokes when it does any kind of research.

For example - I found a tweet from the cofounder of the company talking about some things that enabled me to position them as “for small businesses” and us for bigger brands, thus retaining one of our biggest customers. How would you guide AI to find something like that?

A general tool like ChatGPT or Perplexity will give answers that sound good on the surface but don't hold much water if you drill into them for specifics.

We've found a few requirements for building AI that answers competitive questions effectively: 1. You need to feed it the right data. Don't expect ChatGPT etc. to find reviews, social threads, pricing data from Amazon Marketplace. This is tedious as you say but without the right data then don't count on reliable answers.

You need to provide a framework for why one company or product is "better" than another. If you ask an LLM a broad question like "Why is Company X better than Company Y?", it will do its best but an LLM isn't any kind of expert at your domain and won't know how to compare companies or products.

My sense is that AI can make this a lot less time-consuming (and can therefore do more of it).

Most of what ChatGPT sends back we already know, but sometimes there are tidbits that we haven't thought about before. We always go and validate those points.

Frequency7
Intensity6
Specificity8
Solvability7
5
Identifying Competitors

Difficulty in discovering lesser-known or hidden competitors

Identifying all relevant competitors, especially smaller or emerging businesses that may lack significant online visibility, can be challenging.

Quotes

How did you discover your competitors for product based businesses? I’m aware you can go the route of digging in to google by typing the keyword, the actual product you’re trying to sell, social media keyword search, word of mouth in the space, and retail search. However, they’re are brands that doesn’t get visibility especially start up businesses so I’m interested to know tools/methods you used how you really dug in deep?

If you start a business in an existing market you should already have an idea of the competitors or you should find them easily online as that is part of knowing your market. If you are going into a new market or possibly creating a new market that is more tricky. I would search the problem or solution that the product address.

Our industry is relatively small and not many competitors so word got around quickly as we're were up against them in sales pitches.

Identify your competitors (Real and perceived ones)

This is crazy. The amount of information you can learn from a competitors site is insane.

Frequency5
Intensity5
Specificity6
Solvability7
6
Finding Customer Data

Challenges in accessing and analyzing competitor customer data

It is difficult to obtain and analyze competitor customer data, as sales data is often inaccessible and social media followers are not reliable indicators of actual customers.

Quotes

Without there sales data, identifying there customers is one of the toughest parts.

Why would you not focus on customer reviews? Especially from a third party like TrustPilot, not from the company website obviously. This is where you'll find what the customers really like and really don't like about the competitor and could give you a leg up on the competition. You're not going to find what customers like and dislike about the company in their help docs.

Ask your customers

Frequency3
Intensity6
Specificity7
Solvability6
7
Competitor Ad Analysis

Analyzing competitor PPC strategies can be complex

Understanding and analyzing competitors' Paid Per Click (PPC) strategies, including ad platforms and keywords, is a complex task, with tools offering varying degrees of accuracy.

Quotes

How to analyze your competition in terms of PPC?

You might be able to get a glance of what the competitor is doing with SEMRush, Spyfu.... but take it with a grain of salt as they are not very accurate.

If your competitor has verified their Google ads you can see everything they’re running via SEM + On their ad, tap More (three dots icon) + Click “See more ads this advertiser has shown using Google”

Frequency3
Intensity5
Specificity6
Solvability7
8
Understanding Value Proposition

Difficulty in identifying competitor USPs and value propositions

Pinpointing a competitor's unique selling proposition (USP) and core value proposition requires careful analysis of their messaging and positioning.

Quotes

Determine their main differentiator / unique selling point

I usually use this formula to identify their USP: <a competitor> is confident that customers will buy <a competitor>’s product because <a competitor> solves <a customer problem> better than any alternative due to the following reasons: Proof 1: (e.g. cost advantage, location and so on) Proof 2: …

What I define 'good' is really a subjective one for our brand. I think criterion must be set different. I first filtered viral contents based on their data(likes, shares like that) and then use my metric. I try to catch new viral hooks and visuals that I think I can use it for our brand. I guess that to sort what content references won't interrupt the brand voice is still a marketer's job even if we're living in an AI era.

Frequency2
Intensity4
Specificity5
Solvability5
9
Data Organization

Manual organization of gathered competitor data

Users manually organize collected competitor information, often using tools like Airtable, which can be a tedious but necessary part of the process.

Quotes

Save good examples: When I find interesting videos, I note things like the link, the hook, visuals, and even the editing style.

I use airtable to archive it manually rn. I usually take a screen capture of visual appeals on viral short form videos and leave my thoughts too.

Finally, I compile everything into a resource we can use when planning our own content.

Frequency2
Intensity4
Specificity5
Solvability7

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