Traffic sources
29 articles tagged “Traffic sources”. Tags cut across categories, so you may find analytics, chat and product notes side by side.
Tagged Traffic sources
29 articles
Multi-touch attribution: models compared on one customer journey
Multi-touch attribution shares the credit for a conversion across the touchpoints that led to it. Every common model applied to the same journey with numbers, how channel rankings change between models, what MTA cannot measure, and how to set it up.
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How to increase website traffic: 14 strategies and how to tell what's working
Fourteen ways to increase website traffic across search, content, email, social, referrals and ads, chosen from a measured baseline, with time to impact and cost for each, a worked six-month plan and how to measure which ones actually worked.
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Product analytics vs marketing analytics: differences and why to join them
Product analytics vs marketing analytics: a side-by-side comparison, where they overlap, why joining them on one identity matters, and a channel example.
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Zero-click searches: what the data shows and how to adapt
About 60% of Google searches now end without a click. What zero-click searches are, which queries are most affected, a worked before/after where impressions rose 4% and clicks fell 20%, and seven ways to adapt.
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Multilingual SEO: URL structure, hreflang and a worked audit
How to rank a website in several languages: choosing a URL structure, hreflang rules that cause most errors, localizing keywords, and a worked audit where fixing hreflang tripled German clicks and lifted Japanese clicks sixfold.
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SEO for startups: a 12-month plan that turns searches into signups
When a startup should start SEO, which keywords a new domain can actually win, a 12-month plan, and a worked year where bottom-of-funnel pages brought 28% of organic traffic and 74% of signups.
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SaaS marketing: strategies, funnel and the metrics that decide budget
How SaaS marketing differs from one-off sales, the six-stage funnel and its metrics, eight strategies, and a worked quarter showing why channels should be compared on payback and churn, not CAC.
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AI visibility: how to measure and improve it in AI search
AI visibility is how often AI answers read, cite and send people to your site. Three layers to measure, four metrics, a worked month of AI traffic by operator, and seven ways to improve it.
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LTV to CAC ratio: how to calculate it, benchmarks and what it hides
The LTV to CAC ratio compares a customer’s lifetime gross profit with the cost of acquiring them. Formulas, a worked example where a healthy blended 2.6 hides a paid channel at 1.25, benchmarks, payback and the mistakes that inflate the ratio.
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Regression analysis for marketers and analysts: a worked example
Regression analysis estimates how an outcome changes with its drivers. A 12-week example shows how leaving out organic traffic inflated the value of ad spend by a third, plus how to read output, check assumptions and avoid common mistakes.
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Marketing ROI: How to Calculate It (and Why the Simple Formula Misleads)
Marketing ROI compares what a campaign earned with what it cost. The formula in three versions, a worked example where the same campaign shows 320%, 152% or 76% depending on the method, and how ROI differs from ROAS.
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Cross-Channel Marketing: How to Plan It and Measure What Works
Cross-channel marketing connects channels into one journey instead of running them side by side. How it differs from multichannel and omnichannel, a sample of 1,000 conversions credited three ways, and the measurement rules that keep it honest.
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Marketing Dashboard: What to Include, With a Sample Layout
A marketing dashboard shows which channels bring customers and at what cost. The five sections to include, a sample channel table with spend, conversions and CPA, blended vs channel numbers, and the mistakes that make dashboards misleading.
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Unassigned Traffic in GA4: What It Means and How to Fix It
Unassigned is the GA4 channel for sessions that match no channel rule. The usual causes, how to find which applies, a table of medium values to rename, a sample cleanup and a naming standard to prevent it.
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How to Track Email Marketing Campaigns Beyond Opens and Clicks
How to track email campaigns end to end: what your email tool measures, what analytics measures after the click, a UTM scheme for every link, a sample comparing three sends by outcome and the usual ways tracking breaks.
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How to Track QR Code Scans, From Scan to Sale
How to track QR code scans end to end: tag the link with UTM parameters per placement, read scans as sessions in analytics, and follow them through to sign-ups and sales. With a sample of three placements.
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Marketing Campaign Analysis: A Six-Step Method With an Example
How to analyse a marketing campaign: set the goal, tag the links, check traffic arrived, measure outcomes, compare campaigns per outcome and decide. A sample comparing three campaigns.
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How to Check Website Traffic: Your Own Site and Anyone Else's
How to check traffic on your own website with analytics, which five numbers to read first, how estimates for other sites work and how far to trust them, and why tools never agree.
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What Is Organic Traffic? How It Is Counted and How to Grow It
Organic traffic is visits from unpaid search results. How analytics decides a visit is organic, how it differs from paid and direct traffic, a sample breakdown, and a routine for growing it or explaining a drop.
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Conversion Paths: Design Them, Then Read the Ones People Actually Take
A conversion path is the route from a first click to a completed goal. The four parts of a designed path with one metric each, and how to read the real paths backward from the goal to find the pages that feed it.
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Landing Page Analytics: A Six-Metric Scorecard That Shows Where Visitors Drop
Landing page analytics should tell you where on the page visitors are lost, not just how many converted. Six metrics in page order, a sample scorecard of four pages, and the patterns that point at the fix.
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Landing Page Conversion Rate: Calculate It per Source, Then Improve It
Landing page conversion rate is the share of visitors to a landing page who complete its goal. How to calculate it, why one page has a different rate for each traffic source, and a checklist ordered by what usually moves it most.
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Referral Traffic: What It Is, What Isn’t, and How to Judge It
Referral traffic is visits that arrive by a link on another website. How analytics decides a visit is a referral, the referrers that are not real referrals, and how to judge referring sites by what their visitors do.
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Marketing Funnel: The Stages, and How to Measure Each One
A marketing funnel describes how people move from first hearing about you to buying. The four stages, the metric that belongs to each, a sample funnel split by channel, and the mistakes that make funnel numbers misleading.
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Lead Tracking: From First Visit to Closed Deal, by Channel
Lead tracking connects each lead to where it came from and what happened to it next. How to capture the source on the website, pass it with the form, send qualification and deal stages from your server, and judge channels by deals instead of lead counts.
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Referral Spam: Three Kinds, How to Spot Each, and Where to Stop It
Referral spam comes in three kinds: ghost hits that never touch your site, crawler visits and scripted browser visits. The report signals for each and the fix that belongs at each layer, from collection allowlists to filters.
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Direct Traffic: What Ends Up in It and How to Shrink It
Direct traffic is where visits land when the source is lost. Read the landing pages inside it to separate real direct visits from untagged email, apps and stripped referrers, then fix each cause.
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Marketing KPIs: Build a Tree from Revenue Down to Each Channel
Marketing KPIs organised as a tree from revenue down to channel inputs, with one primary KPI per channel owner, platform numbers kept apart from outcomes measured on your site, and a review cadence.
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Acquisition Metrics: How to Measure Each Channel, Not Just Traffic
Acquisition metrics in three layers (volume, quality, cost), measured per channel and joined to sign-ups and revenue, plus why channel numbers never agree between tools.
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