PPC
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Gads account organization9 Topics|1 Quiz
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Search ads36 Topics|1 Quiz
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Campaign creation
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Settings (location, language, start/end date, networks, bid strategy (CPA/CPC), budget)
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Location
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Language
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Start / End date
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Networks
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Bid strategy
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Target cost per action (CPA)
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Target return on ad spend (ROAS) (PPC)
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Maximize Conversions (PPC)
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Maximize Conversion Value
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Enhanced cost per click
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Keyword Strategy
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Keyword Research
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Keyword match types
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Exact match
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Phrase match
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Broad Match
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Negative Keywords
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Search terms
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Keywords Adding
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NKW list
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Managing Search Terms
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Long-Tail Keywords
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Create ad groups
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Keyword structure
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SKAG
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Single keyword ad groups
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SKAG`s main benefits
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Drawbacks to using SKAG KW groups
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A-B testing
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Adding a target URL
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Write and start PPC Ads
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Titles
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Descriptions
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Headlines
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Campaign creation
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Display Ads16 Topics|1 Quiz
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Video Ads17 Topics|1 Quiz
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Video Ads
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Choosing a goal
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Choosing Ads Format
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Settings (formats, location, budget)
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Formats
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Skippable in-stream ads
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Non-skippable in-stream ads
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In-feed video ads
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Bumper ads
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Outstream ads
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Masthead ads
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Location
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Excluded location (list)
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CPV bidding
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Target Impression Share Bidding
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Bidding/Budget (PPC) 4
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Create relevant ads
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Video Ads
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Analytics19 Topics|1 Quiz
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Google ads analytics (what is)
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Where to find
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Link Gads to Analytics
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Export data from Google Analytics to GAds reports
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Wasted Spend
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Google Ads metrics
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Quality Score (Google Ads metrics)
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Impression Share (5)
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Click-Through Rate (CTR)
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Account Activity
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Impressions (5)
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CPC
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Setting goals (5)
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Maximum bid
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Quality score (Setting goals)
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Google ads ad ranks
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Long-tail keywords
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Text Ad Optimization
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Conversions
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Google ads analytics (what is)
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GAds Optimization8 Topics|1 Quiz
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Audience Manager8 Topics|1 Quiz
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GAds tools and settings26 Topics|1 Quiz
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Google Ads tools and settings
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Account management tools
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Google Analytics
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Ad Preview and Diagnosis
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Display Planner
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Keyword tools
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Keyword Planner
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SEMrush
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KWFinder
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Ahrefs Keyword Explorer
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GrowthBar
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Long Tail Pro
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Majestic
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Keyword Tool
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Moz Keyword Explorer
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SpyFu
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Bid and budget management tools
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WordStream PPC Advisor
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Optmyzr
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Bing Ad Editor
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Marin
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Acquisio
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Canva
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Facebook Ad Gallery
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AdEspresso
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Google ads Editor
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Google Ads tools and settings
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Google Ads and Facebook9 Topics|1 Quiz
Quizzes
Participants 18
- Anna
- Popova
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What is Marin? What is this tool for?
Marin Search Tool is considered to be one of the Marin software company’s smart tools and software, which offers a great suite of intelligent solutions focused on digital marketing advertising, search engine marketing (SEM), search engine optimization (SEO), and social media engagement.
Marin Search Tool is also considered to be an intelligent tool that allows all marketers, advertisers, retailers, brands, and businesses to manage daily workflows, identify growth opportunities, and optimize revenue performance across publishers, including Google, Bing, Yahoo, and Baidu.
Additionally, Marin Search Tool helps all customers to apply audience, revenue, and contextual data from any source to improve insight and performance across customers and publishers.
Marin software company is one of the largest software companies that works hard to develop leading online advertising management solutions, in addition, Marin software company has managed to win awards from major industry organizations and publications. And, with offices in all of the world’s most important tech hubs, Marin software company is surrounded by good food, great views, and all the best the big city has to offer.
Benefits:
- Improve performance with bid, budgeting, and optimization algorithm.
- Maximize returns with budget planning and predictive intelligence.
- Use Marin’s Budget Optimizer to track monthly budget and target spend to realize your performance goals.
- A transparent algorithm factors in the historical year, month, and day of the week trends.
- With a single click, apply recommendations from an interactive ‘what-if’ analysis tool that shows predicted clicks, conversions, and revenue.
- Save time with intuitive tools that automate and easily scale campaigns.
- Manage and expand efficiently across multiple publishers.
- Get more than just Google AdWords management.
- Clone your Google campaigns to reach customers across publishers.
- You quickly and effortlessly expand to Bing, Yahoo, and Baidu.
- Without duplicating work, you grow campaigns and see better returns from your initial campaign setup.
- Engage target audiences by device, location, and time of day easily.
- A streamlined workflow lets you view and sync your call and sitelink ad extensions, set mobile bid adjustments, adjust day parting strategies and generate mobile-ready ad creative.
- Manage shopping ads across publishers efficiently.
- Deliver shopping ads that support a more engaging search experience by including product details, images, and pricing.
- Marin’s independent platform makes it easy to manage detail-rich product ads across Google and Bing.
Features & Services:
- Budgeting Intelligence
- Optimize with AI
- Increase Exposure
- Bid Smarter
- Scale Campaigns
- Control Context
- Increase Relevance
Budget Optimization
Budget Pacing
Budget Pacing allows you to view projected, actual, and cumulative advertising spend for the current month, the current week, and the current quarter, including partial same-day spend and forecasting for the remainder of the day. You can also view projected spend for the next month and the next quarter.
How To
You can access the Budget Pacing Dashboard by following the instructions below.
In MarinOne
- First, go ahead and log into MarinOne as usual.
- Then, navigate to the Optimization tab in the left-hand navigation.
- Next, make certain the Bid Strategies sub-tab is selected in the top navigation.
- From here, click on the Forecasting toggle in the top-right of your grid.
- From here, select the Pacing button above the chart.
- By default, MarinOne’s budget pacing tools will show pacing for all Bid Strategies, but if you’d like to look at how a single Bid Strategy is pacing, simply click the check-box next to the corresponding Bid Strategy. The page will automatically re-load with pacing details for the selected Bid Strategy.
- The bar charts show daily spend for the current month, with green representing actual spend and gray representing forecasted spend.
The line chart represents cumulative spend, with the solid line showing actual cumulative spend and the dashed line showing forecasted cumulative spend.
You can see examples of both Actual Spend and Forecasted Spend in the screenshots below. Hover over any day in your chart to learn more about spend for the selected date.
You can also see a key for your bar and line charts at the left of your Pacing Dashboard.
- From your Pacing Dashboard, You can even export the forecast chart to one of your cross-client, cross-channel MarinOne dashboards if you wish. To do this, simply save it as a Saved View, then add it to a dashboard.
In Marin Search
To access the Budget Pacing Dashboard, navigate to the Home tab, click on the Budget sub-tab, and then you can toggle between the Pacing Dashboard and the Budget What-If tab.
The budget pacing forecasts first calculates the base prediction using a recency-weighted 90 day look-back window. For even more precision, the feature also takes into account known temporal effects such as day of week, day of month, month of year and day of year seasonality. This require at least 3 data points for each seasonal effect. If a significant effect is found, it is filtered out of the data before the next check, to avoid double counting.
This also takes into account the Bid Strategy goals and trafficking settings. Predictions are based on the assumption that all Preview Bid Strategies are also set to Traffic mode, while Bid Strategies that are Off are considered static. Any Bid Strategies on Preview mode will typically see forecasts that don’t match the current performance.
This ensures budget-sensitive users to get accurate insights on expected spend for the current month. In order to explore and adjust monthly spend targets, users switch to the Budget What-if sub-tab, which we’ll talk about in the next section.
How It Works
The Pacing Dashboard forecast first calculates the base prediction using a recency-weighted 90 day look-back window. For even more precision, the feature also takes into account known temporal effects such as day of week, day of month, month of year and day of year seasonality. This requires at least 3 data points for each seasonal effect. If a significant effect is found, it is filtered out of the data before the next check, to avoid double counting.