latana.com

Ahrefs is a data platform that helps marketers see what people search for, which pages rank for those searches, and who links to those pages. If you're new to it, the fastest way to learn is to start from a real task rather than browsing menus. This walkthrough uses one common goal — finding content and keyword opportunities for a site — and shows the exact steps, which reports to open, how to read the columns, and how to turn the data into a shortlist of tasks.

The steps below describe the general workflow of the platform. Exact menu labels, limits, and available features can change between plans and over time, so treat the interface as the source of truth and check the in-product help or documentation when a term is unfamiliar.

Step 1: Define the goal before opening any tool

Ahrefs answers questions, so the quality of your output depends on the quality of your question. Write down one sentence before you start. Examples:

• "I want 20 keyword ideas for a beginner's guide to home coffee brewing."
• "I want to know which pages on my site have lost the most traffic in the last 6 months."
• "I want to find sites that link to my competitors but not to me."

Each of these maps to a different report. Marketers who skip this step usually end up staring at a dashboard full of numbers with no decision to make.

Step 2: Enter a domain or a keyword

Most workflows begin in one of two places:

• Site Explorer — enter a domain or URL. Use this when your question is about a specific website (yours or a competitor's).
• Keywords Explorer — enter a keyword or phrase. Use this when your question is about a topic or search demand.

A practical habit: start with the competitor or topic you already know is relevant, then expand. If you sell running shoes, entering a well-known running retailer's domain will surface far more useful structure than entering a generic term like "shoes."

Step 3: Read the main columns without over-trusting them

Reports share a common set of columns. Learn what each one actually measures:

Two rules of thumb: volume is an estimate, not a promise, and difficulty is a relative signal, not a gate. A keyword with modest volume and low difficulty that exactly matches your offer usually beats a high-volume term you cannot realistically rank for.

Step 4: Filter and sort to surface opportunities

Raw lists are noise. Filters turn them into a to-do list. Useful starting filters:

• Keyword Difficulty: cap it at a level your site can realistically compete for. A new site should start low; an established site can raise the ceiling.
• Volume: set a floor so you ignore terms nobody searches.
• Include / exclude words: remove branded terms, job listings, or irrelevant modifiers.
• Search intent: separate informational, commercial, and transactional queries so you don't write a blog post for a page that needs a product listing.

Then sort by the metric that matches your goal — traffic potential for content planning, referring domains for link building, or traffic decline for audits.

Step 5: Turn findings into a shortlist

A report is only useful once it becomes a list of tasks. A simple template you can copy:

Opportunity | Target keyword | Intent | Est. volume | KD | Page to create/update | Owner | Status

Fill it with 10–20 rows, not 200. For each row, decide one of three actions:

1. Create a new page for a keyword gap you can serve.
2. Update an existing page that already ranks but underperforms.
3. Ignore it, with a one-line reason, so you don't revisit it next month.

This is where most beginners stall: they collect data but never commit to a decision. Forcing a create/update/ignore choice per row fixes that.

Step 6: Common beginner mistakes

• Chasing volume only. A high-volume keyword with the wrong intent sends traffic that never converts.
• Ignoring search intent. Check what actually ranks before deciding what to publish.
• Comparing DR across niches. A DR 40 in one industry is not equivalent to DR 40 in another.
• Treating estimates as facts. All third-party search data is modeled, not measured.
• Skipping the audit loop. Research is not a one-time event; revisit your shortlist and check whether the pages you built actually moved.

Where to get help with terms and metrics

Ahrefs maintains an in-product help center and a glossary of SEO terms, and the platform links to documentation from most reports. When a metric is unclear, open the help entry for that specific term rather than guessing — misreading one column can distort an entire content plan.

A realistic first session

If you have one hour, do this: pick one competitor, open Site Explorer, sort their top pages by traffic, filter to pages relevant to your offer, and write down five topics you could cover better. Then open Keywords Explorer for one of those topics, apply a difficulty and volume filter, and add three supporting keywords. You now have a shortlist of eight items and a clear next action — which is the actual point of using Ahrefs as a marketer.

Latana is a brand tracking platform built for four main roles: insights professionals, marketers, strategists, and agencies. If your job involves measuring how consumers perceive a brand—and turning that perception data into decisions—Latana is aimed at you. If you only need one-off survey results or basic website analytics, it is likely more platform than you need.

The Four Audiences Latana Names

Latana's own positioning maps its product to four user types. Each gets a slightly different value proposition.

The common thread: all four roles need recurring, comparable brand perception data rather than a single study.

What Each Role Actually Gets

Insights professionals

The core pitch here is data quality. Latana states that only 0.1% of consumers participate in research panels, and its platform is designed to reach the other 99.9% through real-time, ad-based sampling. It also claims margins of error under 2% even for niche segments and brands, with up to 100,000 interviews per brand and year in each country. For an insights team, that combination—large samples plus low error margins on small segments—is the main reason to consider it.

Marketers

Latana emphasizes an intuitive dashboard with flexible access to data, plus high-frequency ad awareness measurement for campaign insights. The practical benefit is speed: you can check brand perception metrics without commissioning a new study each time.

Strategists

For this group, Latana offers brand health tracking with monthly, data-driven insights and competitor benchmarking. Brand strategy work depends on seeing trends over time and against competitors, which is exactly what these two solutions provide.

Agencies

Agencies need to run the same process across many clients efficiently. Latana positions itself as "the world's most easy-to-use, efficient and versatile brand tracking tool," which matters when your team is juggling multiple accounts.

The Solutions Behind the Roles

Latana's feature set is organized into five solution areas, and knowing them helps you judge fit:

• Ad awareness tracking — high-frequency measurement for campaign insights
• Brand health tracking — monthly, data-driven insights
• Competitor benchmarking — data-backed comparison against other brands
• Purchase funnel tracking — quantifying the customer journey with funnel insights
• Brand strategy and planning — data-informed strategy for sustained growth

If your needs fall outside these five areas, Latana is probably not the right tool.

How the Data Pipeline Works

Understanding the mechanism helps you decide whether the output will be trustworthy for your use case. Latana describes three stages:

1. Data collection — real-time, ad-based sampling, which the company says delivers broader reach and precision than traditional panels.
2. Data processing — machine learning applied for quality assurance.
3. Generating insights — an intuitive dashboard for flexible access to the data.

The key mechanism to note is the sampling method. Instead of recruiting from a research panel, Latana serves surveys through advertising, which is how it claims access to consumers who would never join a panel. Whether that matters to you depends on how much you currently worry about panel bias or small niche samples.

When Latana Is a Good Fit

You are likely in Latana's target audience if:

• You need recurring brand tracking, not a one-time survey.
• You care about niche segments or smaller brands, where standard panels produce wide error margins.
• You want marketers to self-serve insights rather than route every question through a research team.
• You are an agency running tracking for multiple clients and need efficiency.
• You need competitor comparison built into the same dataset as your own brand metrics.

When It Probably Isn't

Latana is not positioned for:

• One-off market research projects with no tracking component.
• Teams that only need website or campaign analytics (no brand perception measurement).
• Buyers looking for a free or self-serve signup tool—Latana's path to access runs through booking a demo and speaking with its team about your brand goals.

How to Decide

The fastest way to judge fit is to match your role and recurring need against the four audiences above. If you recognize yourself in one of them and your questions map to at least one of the five solution areas, the next step is a demo conversation—Latana's site routes interested buyers to "Book demo" and "Speak to our team," where you discuss your current brand marketing strategy and the insights you need. Pricing is not published on the page, so cost fit has to be established in that conversation.

Latana collects brand tracking data through real-time, ad-based sampling rather than traditional research panels, then processes it with machine learning for quality assurance before delivering results through a dashboard. According to Latana's own description, this approach is designed to reach everyday consumers outside panels and to keep margins of error below 2%, even for niche segments and brands. The sections below break down each stage so you can judge whether the method fits your research needs.

Data collection: ad-based sampling instead of panels

Latana's core claim is about who gets surveyed. The company states that only 0.1% of consumers participate in research panels, and that its platform gives access to the 99.9% who don't. It does this through real-time, ad-based sampling, which Latana describes as delivering "unprecedented reach and precision."

What this means in practice:

• Input: survey questions served to consumers through ad-based distribution rather than a pre-recruited panel.
• Action: respondents answer in real time as the sampling runs.
• Expected result: a broader respondent pool that is not limited to people who opted into panel participation.

The practical implication is that reach depends on ad distribution rather than panel size, which is the mechanism behind Latana's coverage claims.

Data processing: machine learning for quality assurance

After collection, Latana applies machine learning for quality assurance, which it describes as producing "the highest possible data quality." The stated purpose is to filter and validate responses before they become insights.

For anyone evaluating reliability, the key question is what quality assurance is meant to catch. Latana positions machine learning as the step that maintains data quality at scale, which matters because ad-based sampling reaches respondents who are not pre-vetted panel members. Quality control is therefore doing more work here than it would in a traditional panel setup.

Precision: sample sizes and margins of error

Latana publishes specific precision figures, which are the most concrete numbers available for assessing reliability:

Two conditions are worth noting. First, the sample size is described as "up to," so actual volume depends on your brand, market, and setup. Second, the <2% margin of error is a company claim tied to its sampling and processing method; it is not an independent audit result. If your research requires niche-segment precision, these figures are the relevant benchmark to test against your own requirements.

Accessing the data: dashboard and insight generation

Latana delivers processed data through an intuitive dashboard that it describes as providing easy and flexible access. This is the layer where collection and processing become usable output.

The dashboard supports the solution areas Latana lists:

• Ad awareness tracking (high-frequency measurement for campaign insights)
• Brand health tracking (monthly, data-driven insights)
• Competitor benchmarking
• Purchase funnel tracking
• Brand strategy and planning

Different teams use the same underlying data differently: insights professionals for precision and accuracy, marketers for intuitive and up-to-date brand perception reporting, strategists for brand strategy inputs, and agencies for a versatile tracking tool.

What to verify before committing

Latana's method is designed around reach beyond panels, ML-based quality assurance, and stated precision targets. Before adopting it, confirm:

1. Whether the "up to 100,000 interviews" volume applies to your specific countries and brand size.
2. How the <2% margin of error holds for your narrowest segment of interest.
3. Whether ad-based sampling reaches the specific audiences your research requires.

Latana does not publish pricing on the pages reviewed here; the site routes interested buyers to a "Book demo" form and a pricing page. If budget or contract terms matter to your decision, treat those as open questions to resolve directly with the company.

Latana is a brand tracking platform that combines ad-based consumer sampling with machine learning quality checks and a dashboard for turning the data into insights. It is designed for teams that need frequent, precise measurement of brand perception—insights professionals, marketers, strategists, and agencies—and it covers five main solution areas: ad awareness tracking, brand health tracking, competitor benchmarking, purchase funnel tracking, and brand strategy and planning.

The five brand tracking solutions

Ad awareness tracking

High-frequency measurement of ad awareness, intended for accurate campaign insights. If you run campaigns and need to see whether they are being noticed, this is the module that tracks that signal over time rather than in a single post-campaign study.

Brand health tracking

Monthly, data-driven insights into brand health. This is the ongoing tracking layer: instead of a one-off survey, you get a recurring read on how your brand is perceived.

Competitor benchmarking

Clear, data-backed comparisons against competitors. Useful when the question is not just "how are we doing?" but "how are we doing relative to the brands we compete with?"

Purchase funnel tracking

Quantifies the customer journey with funnel insights, so you can see how consumers move through stages toward purchase rather than treating the journey as a single number.

Brand strategy and planning

Data-informed brand strategy intended to support sustained growth. This is the application layer—using the tracking outputs to inform planning rather than just reporting.

How the platform produces the data

Latana describes a three-stage process:

• Data collection — real-time, ad-based sampling. The claim is unprecedented reach and precision because respondents are reached through ads rather than a traditional research panel.
• Data processing — machine learning for quality assurance, aimed at the highest possible data quality.
• Generating insights — an intuitive dashboard that gives easy and flexible access to the data.

The sampling model is the key differentiator Latana emphasizes: it states that only 0.1% of consumers participate in research panels, and that its approach reaches the 99.9% who don't.

Precision and scale claims

Latana positions its accuracy and sample size as the core reasons to choose it:

These figures matter most if you are tracking niche segments or smaller brands, where conventional panel-based tracking often produces samples too thin to trust.

Who each solution is built for

Latana segments its offering by role, which is a useful way to check fit:

• Insights professionals — precision and accuracy based on answers from everyday consumers.
• Marketers — reporting on brand perception that is intuitive, up-to-date, and meaningful.
• Strategists — reliable, meaningful insights to drive brand strategy.
• Agencies — described as an easy-to-use, efficient, and versatile brand tracking tool.

If your need is a single campaign read, the ad awareness module is the closest match. If you need continuous measurement plus competitive context, brand health tracking and competitor benchmarking are the relevant pair. If the goal is to connect perception to commercial outcomes, purchase funnel tracking plus brand strategy and planning is the combination to look at.

Getting started and pricing

The site offers a Book demo path: you speak with the team about your current brand marketing strategy and how Latana can support the insights you need. The demo form collects name, work email, company, and an optional free-text field, with acknowledgment of the Latana Privacy Policy.

A Pricing page exists, and there is also a Log in entry point for existing users. The available material does not state specific price levels, plan tiers, or whether any tier is free, so treat cost as something to confirm directly rather than assume.

What to verify before deciding

• Segment size — if you track niche segments, ask how the <2% margin of error claim applies to your specific segment and market.
• Cadence — brand health tracking is described as monthly; confirm whether that matches your reporting rhythm.
• Country coverage — the 100,000 interviews per brand per year figure is stated per country, so check that your priority markets are covered.
• Integration with existing reporting — the dashboard is described as intuitive and flexible; confirm it fits how your team already reports.
• Budget — request pricing through the demo conversation, since published figures are not available in the source material.

Latana is a brand tracking platform that combines ad-based sampling, machine learning quality checks, and a dashboard for brand health, ad awareness, competitor benchmarking, and purchase funnel insights. If you want to evaluate it or begin using it, the practical path is: review the pricing page, book a demo with the team, download the data quality guide, and read the articles and case studies. The site does not publish self-serve signup steps in the available evidence, so the demo conversation is the main entry point for getting set up.

Start with the pricing page

The site links to a dedicated pricing page at https://www.latana.com/pricing. Use it to understand what plans or engagement models exist before you talk to the team. Because the available page evidence does not list specific prices, plan tiers, or payment platforms, treat the pricing page as the source of truth and expect to confirm commercial details during the demo.

Book a demo to discuss your brand goals

The primary call to action on the site is Book demo. The form asks for:

• Name and last name
• Work email
• Company
• An optional free-text field for anything else

Submitting the form triggers a confirmation message ("Thank you! Your submission has been received!") or an error message if something goes wrong. The site describes the demo as a conversation about your current brand marketing strategy and how Latana can support the insights you need.

This is the right step if you want to:

• See how the dashboard works with your own brand or category
• Discuss sample sizes and margins of error for your market
• Understand which solution fits your role (insights, marketing, strategy, or agency)

Download the data quality guide

The site offers a guide titled "5 ways to improve data quality in brand tracking" with a "Download now" action. This is useful if you want to understand Latana's approach to data quality before committing to a demo, or if you need to justify a brand tracking investment internally. It pairs well with the platform's stated methods: real-time ad-based sampling for reach, machine learning for quality assurance, and an intuitive dashboard for access to the data.

Explore solutions by use case

Latana organizes its offering around specific tracking needs. Review these to decide which one matches your question:

If your goal is campaign measurement, start with ad awareness. If you need a recurring health check, brand health tracking is the closer fit. If you are building a strategy document, the strategy and planning solution is the relevant one.

Read articles and case studies

The Resources section includes articles on brand tracking, the data quality guide, case studies from customers, and a presentation on how Latana is fixing brand tracking. Case studies are the fastest way to see whether the platform fits a company like yours. Articles are better for understanding concepts and terminology before a demo.

Know who the platform is built for

The site segments its audience explicitly:

• Insights professionals — precision and accuracy based on everyday consumers
• Marketers — intuitive, up-to-date reporting on brand perception
• Strategists — reliable insights to drive brand strategy
• Agencies — an easy-to-use, efficient, and versatile tracking tool

If you fall into one of these groups, the demo conversation will likely be framed around your specific workflow.

What to verify during your demo

The site makes several specific claims that are worth confirming for your market and category:

• Access to everyday people, with the claim that only 0.1% of consumers participate in research panels and Latana reaches the 99.9% who don't
• Margins of error under 2%, even for niche segments and brands
• Up to 100,000 interviews per brand and year in each country
• Full control over tracking setup (the page evidence cuts off mid-sentence, so ask what "full control" includes)

Ask how these numbers apply to your specific countries, audience segments, and brand size. Niche categories and small brands are the cases where sample size and margin of error matter most, so get a concrete answer rather than a general one.

A practical sequence

1. Read the pricing page to understand commercial structure.
2. Download the data quality guide to understand methodology.
3. Skim one or two case studies in your industry or region.
4. Book a demo with your brand goals and target markets ready.
5. In the demo, ask about sample sizes, margin of error, and control over study design for your specific case.

This order lets you arrive at the demo already knowing the platform's positioning, so the conversation can focus on fit rather than basics.