Keyword Rank Prediction with Markovchain – Insights Included

Keyword Rank Prediction with Markovchain – Insights Included

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    Predictive modeling is a process that uses data mining and probability to forecast outcomes. Each model is made up of a number of predictors, which are variables that are likely to influence future results. Once data has been collected for relevant predictors, a statistical model is formulated.

    Keyword Rank Prediction with Markovchain

    A Markov chain is a discrete-time stochastic process: a process that occurs in a series of time-steps in each of which a random choice is made. A Markov chain consists of states. Hence, each web page will correspond to a state in the Markov chain we will formulate.

    Google uses Markov chain to determine the order of search result called page rank. Basically, they can use to replicate weather systems. Markov chain is a system that transactions between states using random memoryless processes.

    Example:

    Jeff is a baby. The only thing he does:

    Play, sleep, cry

    Together with other behavior could form a state space: a list of all possible.

    Its probability to move next state on base of the present state, no the previous state.

    Every state can reach an absorbing state.

    The absorbing state is that where once enter then cant left.

    SEOs can use Markov Chains to predict what content users will want to see, and specifically what content their users or their competitors’ users will want to see.

    Above all, we use the Markov chain to predict keywords rank.

    Before using :

    Cannot predict what rank will come. Need to use SEO Quake to check keyword rank normally.

    Analysis:

    • collect all the keywords & it’s previous ranks into a file
    • compare current rank vs previous ranks
    • predict future rank based on current rank

    Example 1: www.tapestodigital.com

    Output

    Keyword:- mini dv conversion service

    Using prediction model

    Showing Output of the keyword is between 2 to 4. Between the range. So it satisfy the algorithm.

    Keyword:- mini dv conversion service

    Using prediction model

    Showing Output of the keyword is between 16 to 26. Between the range. So it satisfy the algorithm.

    Keyword:- vhs to dvd converter software

    Using prediction model

    Note: More than rank 100 means NA

    So it satisfy the algorithm.

    Keyword:- vhs to digital

    Using prediction model

    Presently, showing output of the keyword is between 1 to 4 between the range. So it Satisfy the algorithm.

    Example 2: www.tapestodigital.co.uk

    Output

    Keyword:- vhs into dvd

    Using prediction model

    Presently, showing output of the keyword is between 7 to 11 between the range. So it Satisfy the algorithm.

    Keyword:- change vhs to dvd

    Using prediction model

    Presently, showing output of the keyword is between 9 to 13 between the range. Therefore, it satisfies the algorithm. Keyword:- video tape to digital

    Using prediction model

    Presently, showing output of the keyword is between 2 to 4 between the range. Therefore, it satisfies the algorithm.

    Example 3: www.velosia.com Keyword:- adult services Darwin

    Using prediction model

    Showing Output of the keyword is between 86 to 94. Between the range. So it Satisfy the algorithm.

    Use in SEO: This will help to predict the rank of keywords. Easily can predict what rank comes in next.

    USE in Daily life:  Predict the keyword rank very easily.

    In conclusion, easily can predict the rank that will come in next after the current rank.