Can I submit the same blog content on different blog posting

Can I submit the same blog content on different blog posting sites?
i have one article for web 2.0 submission, can post the same article on multiple blog post website?
You shouldn't. Duplicate content can penalize your ranking and harm your webpage.
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Posting same content on different webpages is almost never a good thing.
No, please don't do it
You can but you will do a big mistake as google dont like repeteaded content
I believe it is best to stick to unique content. Change up your original article just a little bit to make it slightly different and unique before each submission.
thank you all for your great suggestions
Article directory marketing is a waste of time now.
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Yeah if you lazy just spin the article i use this very good result readable article and prevent from duplicate content best-spinner.com

This feature, currently only available for Search and Display adverts, informs the algorithm to expect an imminent spike in conversion rate.

As a result, it learns to respond to sharp changes, making Smart Shopping an even more attractive solution for managing sale periods.

2. Structure Is Key

As the algorithm will optimize towards maximum conversion value when running Smart Shopping, structure is only important for reporting purposes.

If you’re optimizing manually, however, your shopping structure can make a considerable difference to overall performance.

What you need to do is split your campaigns out horizontally by whichever segmentation makes the most sense to your business – do you first split out the different brands you sell, or by product type? There is no right or wrong answer here.

We then build our accounts with ‘Single Product Ad Group’ structure: every product ID sits within its own product group, which sits within its own ad group.

This level of granularity gives the most precise and useful reporting possible, but can be difficult to accomplish without automated tech. You may find it easier to group products with similar attributes or historical performance.

Setting up a robust structure is also important for funneling your traffic. As Google Shopping lacks a keyword system to enable easy query-matching, it is much more difficult to funnel searches to the appropriate bid.

The way we mitigate this is by creating three copies of our campaigns comprised of identical products, and assigning them different priority settings.

In its most basic iteration:

Low-performing search terms get a low bid and sit in your high priority campaign.
Medium-performing terms are given a moderate bid and medium priority.
High-performing terms are low priority, high bid.
This system works only when you add negative keywords to your high- and medium-priority campaigns.

Negatives effectively funnel more valuable searches down towards your low priority campaign where you are willing to pay more for higher-intent searches.

You won’t over-bid for lower-value searches because priority takes precedence over bid.

This might sound confusing, but it’s great for increasing your efficiency of spend. Below is how it works in practice:

Custom Funnelling

Note that the Brand Specific query ‘Nike roshe run pink trainers’ will be excluded from the top two campaigns due to their negative keywords.

This means the high-value search term will match with products in the campaign with the most competitive bid.

3. Feed Optimization

Instead of positive keyword targeting, all query matching is done against your feed – the bumper list of products you sell along with their attributes.

So your next step to becoming a Shopping superhero is making sure your feed is accurate, up-to-date and optimized for performance.

Your feed fields are weighted left to right, so make sure you are placing your most important information at the beginning of your title and descriptions. Take a look at your search queries for inspiration.

You can test these modifications – perhaps brand is the most important attribute for one product and for others, it might be color or material. You can also test images to see which drive better performance.

Another step is populating missing fields. Gaps are likely to lead to disapprovals.

This means that your ads won’t show – or they may make Google’s mapping of search queries to products less effective, decreasing your impression share and CTR. In the run-up to Black Friday, this is especially important.

Remember to populate the [sale_price] and [sale_price_effective_date] columns in your feed; you don’t want your ads suddenly disapproved en masse because your feed data no longer matches your website.

4. Think Carefully About Your KPIs (& Don’t Panic If CTR Looks Off)

When optimizing your account, and when testing your feed, in particular, you might be tempted to look at engagement metrics.

While that sounds sensible, be aware that one is likely to be misleading: CTR.

The good news is that it’ll probably look worse than it actually is.

As a reminder: click-through rate is calculated by dividing click volume by impression volume. In search text ads, this is essentially the same thing as dividing clicks by the number of searches you appeared on.

In Shopping, however, it is possible to show more than one ad for a search, meaning that you receive multiple impressions.

This is especially true when you are bidding aggressively, as you are likely to be doing during times of high seasonality.

In this case, your clicks per search will go up as you’re showing more ads, but due to the higher number of impressions, the CTR reported to you may drop.

(Note: if you have a ‘Single Product Ad Group’ structure to your account, your granular ad group level CTR will be accurate in your reports.)

Also keep an eye on your conversion rates. If you are running Smart Shopping, your ads will appear across Google properties.

While this is a bonus in terms of increased reach, the display network is typically less effective for acquisition. Expect your conversion rates to be slightly lower.

5. Budget Accordingly

In the next holiday season, you’re going to be spending significantly more as you bid up in response to competition and intent – remember to account for that.

Last November, our retail client portfolio pooled a mean average of 22.8% of their entire month’s budget into the four days between Black Friday and Cyber Monday.

Make sure you don’t neglect the research phase that precedes the shopping spree. Customers will be browsing deals well ahead of time, and you need to be visible from the get-go.

If you don’t allocate enough budget for this awareness period, your performance across the season will suffer.

Bring spending back down as sales periods end. Sounds obvious, but you’d be surprised by how many people forget.

Along with your across-the-board upweighting, you’ve likely raised your RLSA modifiers hugely to bid especially high on recent visitors or basket abandoners.

As Cyber Monday passes or Christmas morning arrives, these should be adjusted way down – your site visitors either already bought what they wanted, or they weren’t interested in the first place.

Finally – all your decisions should be leveraging last year’s data. Comb through performance, decide whether you spent too much or not enough, and strategize accordingly.

There’s No Such Thing as Overpreparation

That’s not the end of it.

You’ll definitely need to keep an eye on your account to manage budgets or keep your feed up to date as the quarter progresses. This is true even if you’re running Smart Shopping.

However, following the steps above now to set up a robust account will make things much much easier when the time comes.

Being ready to leverage as many historical insights as you can and remaining responsive to incoming data will put you well on your way to Shopping success this season!

A New Customer Decision Journey: Embracing & Fueling the Flywheel
Smart recommendations to make Google Ads profitable
Opteo continuously monitors Google Ads accounts for statistically significant patterns. When something comes up, Opteo suggests an improvement backed up by real data. Opteo also helps monitor performance trends, track spending & get alerts when you

need them.

Ever since the introduction of the AIDA model in the late 1800s, marketers have been focused on growing a traditional marketing funnel.

For over 100 years, the AIDA model was considered a marketing cornerstone as it moved consumers through a series of four linear stages in a purchase journey:

Awareness.
Interest.
Desire.
Action.
In turn, marketers have spent most of their time attracting large amounts of consumers at the top of the funnel, with only a small portion of consumers moving through to a final action, or purchase.

Put simply, within a marketing funnel, the majority of time and energy gets lost on prospects that do not convert.

But what if that energy wasn’t lost?

What if that energy could be redirected back into the purchase journey for real results?

And what if customer energy could be harnessed and added to the equation?

From Funnels to Flywheels

Throughout history, inventors such as James Watt and his steam engine have turned to flywheels for the superior way they store energy.

Now marketers are doing the same.

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